About Ampol Trading & Shipping

Our purpose at Ampol is to power better journeys today and tomorrow. Our Trading and Shipping team is key to achieving this, not only supplying our customer’s needs today, but evolving as the energy transition takes place to supply our customers well into the future.

We take pride in our people and value innovation, sustainability, and customer satisfaction. If you’re a professional committed to excellence, Ampol is looking for you.

About the role

This position will be responsible for working with large and disparate data sets, internal and external, quantitative, and qualitative, structured and unstructured to support the management of data across the entire data lifecycle. This role requires a combination of technical expertise, leadership skills and strong focus on data governance practices to ensure the successful delivery of the Data Product Roadmap.

The data engineer brings expert understanding of data and modern data processing technologies to prepare and deliver data assets which support high priority projects.

This position is a part of theData Product Team, which is responsible to delivering on the prioritised T&S Data roadmap to meet strategic objectives. aligned to the Trading & Shipping organisation.

Key responsibilities

• Working with the key stakeholders to define data requirements for projects

• Perform data acquisition/ingestion from internal and external sources, including both structured and unstructured data sources (incl. multi-dimension data, text/documents, geospatial data and graph)

• Performing descriptive analytics and data visualisation to share data insights or validate data with stakeholders. Prepare data quality reports

• Develop data transformations and modelling to prepare data sets for consumption for various end uses including reporting or advanced analytics.

• Develop and maintain productionised data outputs/products to support ongoing uses

• Working in a highly agile and flexible environment to deliver outputs in short time frames

• Document technical specifications of data pipelines and technical products delivered

• Develop working understanding of Ampol systems, data, and uses, as a data SME

• Data Strategy and Planning- Continuously develop and enhance Ampol data strategy and architecture and roadmap to ensure alignment to business requirements and overall company vision.

• Data Exploration and Analysis- Explore data to identify patterns, trends and insights. Perform quantitative and qualitative analysis to answer specific business questions and to gain a deeper understanding of data.

• Data Pipeline Development- Build and maintain data pipelines to move and transform data from various sources into Snowflake with assurance that data ingestion is reliable, scalable and optimized for performance.

• Data Modelling and Design- With requirements from business, design and implement data models within Snowflake, including schema design, table structures and data partitioning to support high performance, low latency querying and analytics.

• Data Quality and Integrity- Enforce data quality checks and validation during data ingestion process to ensure accuracy and integrity of data in Snowflake.

• Support Continuous Improvement in Data Product- Support the Commercial Analytics in advancing continuous improvement in the data space, including team engagement to generate awareness of initiatives and track progress.

• Monitoring and Maintenance- Proactively monitor data pipelines and the overall health of Snowflake data infrastructure to identify and resolve issues.

• Automation and Orchestration- Automate data workflows and orchestrate data processes to minimize manual intervention and improve operational efficiency.

• Collaboration with Data Users- Work closely with data analysts, data engineers, and business users to understand their data requirements and provide necessary data support.

Capabilities

• Big Data Engineering – familiarity in designing and developing data processes on cloud based big data platforms

• Data Quality – experience in managing data quality controls to support the completeness and accuracy of data

• Strong understanding of data structures and designing conceptual, logical and physical data models

• Understanding of Information Management, Data Governance, Data Security and Privacy concepts (covered by respective Ampol policies)

Qualifications & experience

• Tertiary qualifications in Computer Science or similar.

• Qualifications or experience in mathematics or statistics highly regarded

• 2+ years of industry experience working as a data engineer to develop data products using SQL, Python, and Spark

• Data modelling experience including ETL

• Data quality management

• Experience with a range of Data platforms (Hadoop, Spark, SQL Databases)

• Experience performing descriptive analytics and developing data visualisation (Power BI, Tableau, Shiny, etc)

• Experience working to support advanced analytics products is desirable

Skills & Knowledge

• Expertise in SQL, Python, and Spark

• Experience with Snowflake (3–7 years) and data pipeline management

• Proficiency in data modeling, relational databases, and query optimization

• Strong understanding of git flow and version control systems

• Knowledge of data governance and data quality principles

• Effective communication and ability to collaborate with cross-functional teams

• Tertiary qualification in Data Analytics or related field

• Strong problem-solving skills and ability to deliver valuable data insights

• Ability to adapt to changing priorities and learn new technologies quickly

• Experience in downstream oil or petroleum trading (desirable)

• Familiarity with advanced analytics, machine learning, and big data technologies

• Working knowledge of Docker, Kubernetes, and noSQL technologies

• Self-motivated with a focus on continuous improvement and innovation

At Ampol, we’re committed to creating a workplace where everyone feels valued and respected. We embrace and celebrate diversity in all its forms, recognizing that it makes our organization stronger. We encourage applications from people of all ages, backgrounds, identities, and experiences. We invite you to bring your whole self to Ampol.

Want to take your career to the next level? Apply today. 

Eduquest International Institute is a Registered Training Provider by SkillsFuture Singapore (SSG) to offer high quality, industry-relevant skills-based training programmes leading to the Singapore Workforce Skills Qualifications (WSQ).

We provide ample opportunities for all our staff to upskill and reskill during their tenure with us.

We are looking for passionate trainers who can train and assess candidates in Data Visualisation Tools and Techniques, Including Emerging tool Google Data Studio

Requirements:

• Familiar with emerging Data Visualisation Tools and Techniques from a business analytics context.
• Able to train with effective presentation skills on insights and trends by organizing and consolidating graphs into dashboards. Examine insights with stakeholders and interpret analytics with subject matter experts by designing Interactive visualizations with dashboard control and parameters.
• Familiar with digital methods of learning, including Synchronous and Asynchronous e-learning and e-assessment
• Min 3 years experience in relevant field
• He/she should have a relevant polytechnic diploma or higher qualification (Minimum ICT polytechnic diploma or higher qualification in ICT)
• ACLP or ACTA is a must.
• Rate: per day basis

If you have what it takes to be an awesome trainer, please write to us!

ENGIE understands the integrated role of facility management and the value of it can be expanded beyond the traditional approach. As a total FM, specialized engineering and sustainable real estate solutions service provider, ENGIE offers a comprehensive range of technical, digital and support services customisable to best suit your unique needs.

Responsibilities:

Responsible for supporting the operation and maintenance of the M&E Services (e.g power, cooling, space and asset inventory) within the Data Center in a 24/7 mission critical environment for two sites.

• Provide leadership and guidance to teams and responsible for the performance of the team and delivery of Service Level Agreement
• Oversee the day-to-day operation and manage a team of engineers and to be on standby with 24/7 on-call emergency response and availability.
• Maintaining M&E Services infrastructure and coordinating with vendors.
• Manage and plan for MEP preventive, corrective, and predictive maintenance.
• Manage and plan for annual shutdown.
• Manage expenses and P&L.
• Prepare monthly reports and conducts meetings
• Manage contractors and projects.
• Manage client enquiries and requests.
• To obtain and maintain management system certifications, including but not limited ISO 9001 Quality Management Systems, ISO 14001 Environmental Management Systems, ISO 27001 Information Security Management, ISO 45001 Occupational Health and Safety Management Systems and bizSAFE Star certification within 2 years from Commencement Date.
• To review and approve maintenance master plan for planned preventive maintenance, cyclical parts replacement, major maintenance and overhaul works.
• To act as the 2nd level of escalation for ensuring that Employer's call for attendance to Incident is answered within the duration stipulated.
• To review, approve and submit Incident report with root cause analysis as stipulated under Schedule 8 within the duration stipulated.
• To review the quality of documentation submitted for raising Request For Change.
• To review, approve and submit quotations for corrective maintenance, Additions & Alterations and ad-hoc works as requested.
• To review turnaround time and quality of corrective maintenance, Additions & Alterations and ad-hoc works as requested.
• Perform any other adhoc duties.

Requirements:

• Minimum 8 years data center facilities experience.
• Operational experience with critical facility equipment/ system that includes but not limited to transformers, generators, DRUPS, UPS, PDU, Chiller System, CRAH and Fire System.
• Good customer management and communication skills.
• Responsible and accountable for profit and loss of the sites.
• Work independently with minimum of supervision.
• Strong written and verbal communication skills; must communicate effectively and in a professional manner.
• Plans and tracks preventive maintenance plan, cyclical maintenance plan and other related events closely.
• Analytical and problem-solving skills.
• Good organizational skills with the ability to maintain all facility related documentation. Detailed and careful in submissions and reporting.
• Proficient in Microsoft Office.

• Design and implement methods, processes, and systems to aggregate and analyze diverse, unstructured data, providing actionable insights for management.
• Develop software programs, algorithms, and automation tools to clean, integrate, and analyze large datasets from multiple sources.
• Work closely with business experts to enhance data and uncover valuable insights to create practical solutions.
• Automate repetitive data tasks to streamline processes and minimize manual work.
• Create clear and effective data visualizations to communicate findings and recommendations to stakeholders.
• Stay informed on the latest developments and best practices in data science, machine learning, and AI.
• Assist the Global IFF Business Control team with various tasks and project requirements.
• Support administrative duties and handle ad-hoc tasks assigned by the Head of Department.

Requirements:

• Diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 1–2 years of experience in a data science role; experience in a similar industry is a plus.
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with experience in data manipulation and analysis libraries.
• Familiarity with data visualization tools like Power BI and the ability to effectively communicate complex analyses to non-technical stakeholders.
• Strong problem-solving and analytical skills, with the ability to translate business needs into data-driven solutions.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

Job Summary

We are looking for a Data Analyst to assist the analytics delivery team and support the various Business Units within Data Management Office for a reputed bank.

Mandatory Skill-set

• Minimum Master/bachelor’s degree in Analytics, Computing, or a related discipline;
• 3 years of experience in analytics or data engineering field preferably in banks or the financial industry;
• Good knowledge of data analytics concepts & techniques, including data architecture, data transformation, data modeling, and visualization;
• Experience in database management namely MySQL, Oracle or others;
• Possess good analytical skills and problem-solving skills;
• Able to conduct issue investigation and root cause analysis;
• Strong communication skills and team player; able to work with business stakeholders directly on requirements gathering or issues investigation;
• Proficient in MS Excel, MS Word, and MS PowerPoint.

Desired Skill-set

• Big Data platforms such as Hadoop, Hive, Impala, Oozie, etc;
• Analytics tools such as Qliksense, Power BI, etc;
• Banking products and processes.

Responsibilities

• Work with the respective business functions to understand and analyze their analytics needs;
• Conduct necessary data sourcing and profiling to understand relevant data sources and structure;
• Propose and design the appropriate end-to-end analytics solution including data modeling, data transformation, and visualization;
• Assist and coordinate the relevant project activities including project planning, workgroup meetings, user training, and support;
• Prepare the relevant project documentation including functional specifications, testing cases, project demos, and user training materials;
• Provide necessary support to businesses on data issues investigation and ad-hoc data requests.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

Team Introduction

TikTok Business Integrity team is at the core to power monetization drive for TikTok on a global scale. The team builds the foundation to safeguard our advisement platform and use cutting-edge technologies to bring the most value to our users as well as business partners. In Singapore, we commit to uphold the integrity of the platform by taking advantage of human insights to know more about advertisers and use signals to optimize the tradeoff between risk and advertiser experience.

Responsibilities

- Work with large, complex data sets. Solve difficult, non-routine integrity analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

- Build and prototype analysis pipelines iteratively to provide insights at scale.

- Develop comprehensive knowledge of Tiktok data structures and metrics, advocating for changes where needed for product development.

- Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.

- Research and develop analysis, forecasting, and optimization methods to improve the quality of TikTok ads products.

Minimum Qualifications

- Master's degree or PhD in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience.

- 5+ years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.

- Experience with statistical software (e.g. R, Python, MATLAB) and database languages (e.g. SQL)

- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.

- Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills.

Preferred Qualification

- Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities:

• Collaborate with data scientists, coders, programmers and other stakeholders
• Creating and managing the AI development process and general infrastructure of a product
• Doing statistical analysis and interpreting findings
• Automating critical tasks and procedures for a data science team
• Creating data transformation infrastructure
• Developing AI models communicating the utility of the AI models they generate to a diverse range of employees inside the organisation, including product managers and management executives
• Exposing machine learning models via APIs with which other apps may interact
• Work on API and integrate systems.

Requirements:

• Master / Bachelor’s degree in computer science, computer engineering, or relevant field.
• Minimum of 4+ years’ experience in a similar role.
• Strong knowledge of Datawarehouse / database / Cloud systems and data mining would be preferred.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.

Thanks,

Rajkumar

EA Licence Number: 23C2060 Registration ID is R1983662

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Senior Data Engineer position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises over 60 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team! As a Senior Data Engineer in our Singapore office, you will have the unique opportunity to join a newly established data engineering team while being supported by our existing data engineering talent in Shanghai and Moerdijk. This role offers excellent career progression as you will take on a pivotal role in establishing and growing a local team in Singapore.

Job Responsibilities:

· Take ownership of the implementation and maintenance of critical pieces of our Azure ETL pipeline and data warehouse (ADF/DBT/Apache Airflow/AKS/Databricks)

· Assist in the maintenance of an existing data infrastructure (Azure SQL MI)

· Assist in the design and architecting of ETL/ELT pipelines, data schemas/models, and data marts for business users.

· Ensure the reliability and availability of core data infrastructure with proper monitoring and alerting systems to guarantee continuous data delivery to the business.

· Take ownership of data quality and governance. Collaborate with business and IT teams to establish and meet data standards, including developing automated data checks and data quality monitoring dashboards.

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation.

· Stay updated with current industry best practices and trends, and evaluate technical decisions at a business level.

· Provide leadership, guidance, and oversight to junior data engineers.

Requirements:

· Bachelor's or Master's degree in Computer Science or a related engineering field from a technical university.

· 4+ years of experience in data engineering

· 2+ years of experience with Azure data infrastructure (e.g. ADF, DBT, AKS, IaC).

· 1+ year of experience with Agile/DevOps tools (Git, Jira).

· Deeply knowledgeable of data warehousing best practices, especially in the Azure cloud environment, with a strong commitment to staying current with industry trends and future advancements.

· Thoroughly familiar with the relevant trade-offs within different data modelling schemas (e.g. 3NF, star, snowflake, data vault) and storage architectures (e.g. data warehouse, data lake, data lakehouse)

· Highly motivated, with a proactive approach to project ownership and accountability for outcomes and timelines. Committed to continuous personal growth and development within the organization.

· Fluency in both written and spoken English and Mandarin is highly desirable to effectively liaise with Chinese-speaking clients and counterparts, understanding their technical requirements.

Desirable skills

· Proven experience with cloud infrastructure at a global scale, with knowledge of navigating global data regulations at a technical level.

· Experience with master data management using modern MDM tools, ideally at a global scale and/or in a cloud environment.

· Background in the shipping/maritime or chemicals industry.

· Previous leadership experience as a lead engineer.

· Experience with PowerBI and Plotly.

Responsibilities:

• Design and implement systems to consolidate and analyze diverse, unstructured data, delivering actionable insights for management.
• Develop software, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets.
• Collaborate with business experts to enrich data and uncover insights for actionable solutions.
• Automate repetitive tasks to enhance efficiency and reduce manual efforts.
• Create visualizations to clearly communicate findings to stakeholders.
• Stay informed on trends in data science, machine learning, and AI.
• Assist Global IFF Business Control with projects and tasks as required.
• Handle administrative and ad-hoc duties assigned by the HOD.

Requirements:

• Minimum diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• At least 1-2 years of experience in a data science role.
• 1-2 years of working experience in a similar industry is preferred
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with experience in data manipulation and analysis libraries.
• Experience with data visulization tools (e.g., PowerBI) and the ability to effectively communicate complex analysis results to non-technical stakeholders.
• Strong problem-solving and analytical thinking skills, with the ability to translate business questions into data-driven solutions.
• Proficiency in Microsoft tools and applications.

Interested candidates who wish to apply for this position, please send in your resume to [email protected]

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

We are seeking a motivated and capable Senior Data Analyst to help drive Data/Business Intelligence initiatives.

The Senior Data Analyst is responsible for extracting meaningful insights from extensive datasets to inform data-driven business decisions. Strong understanding of data analysis, statistical methods, and data visualization is required, and this position involves working with cross-functional teams, contributing to the development of data infrastructure, and ensuring data quality and integrity.

RESPONSIBILITIES:

● Data Extraction and Management: Extract and transform data from various sources, ensuring data accuracy, consistency, and reliability. Cleanse data and identify/rectify coding errors. Develop and maintain data pipelines and data models for analyses.

● Data Analysis and Reporting: Analyze large datasets to identify trends, patterns, and anomalies, using statistical techniques and data visualization. Develop and maintain dashboards and reports to track Key Performance Indicators (KPIs). Generate regular and ad-hoc reports, collaborating with stakeholders to meet their reporting needs.

● Insights and Recommendations: Cleanse and interpret complex data to provide actionable business insights. Translate data findings into operational and strategic improvements, developing recommendations to streamline processes, improve efficiency, and contribute to overall success.

● Collaboration and Communication: Work with cross-functional teams, including business analysts, data engineers, and other stakeholders. Collaborate with management to align business and informational priorities. Communicate analytical findings and insights to both technical and non-technical stakeholders.

● Data Governance: Contribute to advancing transition toward a more data-driven culture. Abide and adhere to data governance policies in servicing data extraction or report requests, metrics and dashboards. Assess adherence to data quality standards and data governance initiatives.

● Project Management: Manage projects to ensure results are measurable, actionable, and aligned with stakeholder goals.

● Consultation: Provide professional consultation services.

● Process Improvement: Identify opportunities for process optimization and stay informed on the latest trends and advancements in data analytics. Continuously evaluate and refine existing data processes and methodologies.

REQUIREMENTS:

● Bachelor's degree in any STEM-related disciplines

●Certification(s) in any modern data visualisation platform

●2-5 years of experience working in a data analyst role, preferably in the healthcare industry

●Proven experience wrangling large datasets and in using data visualization tools such as Tableau or Power BI

●Proficiency in programming languages (Python, SQL) is essential

●Strong understanding of statistical methods and concepts such as hypothesis testing, regression analysis, and classification techniques.

●Experience with the ETL process and machine learning techniques would be advantageous

If you are looking for internship opportunity, apply now!

As a Data Analyst / Scientist Intern at ComfortDelGro, you will be embarking on an exciting and fulfilling journey to help ComfortDelGro make smart, data-driven business decisions.

Job Scope

• Manage data on AWS/Azure platform
• Write efficient SQL query to extract and aggregate data
• Perform Data analytics and Data visualization on large data set using Power BI
• Write Python script to extract open source data for analysis
• Build machine learning models to solve business problems

Job Requirements

• Degree in Data Science, Computer Science/Engineering, Applied Mathematics, Operations Research, Statistics or equivalent. Master or PhD is a plus.
• Able to commit at least Min 3 to 5 months (FULL TIME ONLY)
• Experience in writing SQL query to aggregate data.
• Possesses adequate knowledge of analytics and visualization tools like PowerBI / Tableau
• Experience in writing programming languages such as Python, C++, Java.
• Experience in one of the fields: machine learning, deep learning, operations research.
• Good knowledge in statistics and mathematics.

Tentative start date option:

1. Jan 2025 - Dec 2025
2. Jan 2025 - May/ June 2025
3. May/ June 2025 - December 2025
4. others

Location/ Address: 383 Sin Ming Dr, Singapore 575717

Working days: Monday to Friday

Working hours: 8am to 530pm

Internship Allowance: Will be disclosed to shortlisted candidate

Job Purpose

Looking for an experienced Hadoop admin to join the Group Data function and manage the Hadoop based big data platform.

The role will be responsible of day-to-day operations of the big data platform. This includes monitoring, system upgrade, incident troubleshoot and service restoration, security patching, deployment, capacity management, etc.

The Job

Platform Upgrade and Maintenance

· Conduct the development and implementation of upgrades, and maintenance of the data platform

· Conduct timely patches based on vulnerabilities findings

· Monitor the platform and identify any performance gaps

· Optimize the platform infrastructure to meet scalability, performance, and security requirements

Capacity Management

· Monitor the utilization of the data platform and plan for any expansion if required

Issue/Incident Management

· Troubleshoot and fix the issue based on pre-defiled SLA

· Restore the services in case of system/service downtime based on pre-defined SLA

· Provide timely update to the users on the situation

· Escalate to management based on escalation matrix

User Access Management

· Onboard and offboard users to the platform based on the approval sought

· Conduct regular review of user accounts and take necessary actions to ensure users are valid and active

· Provision user access based on the approval sought

Data Security and Privacy

· Implement robust data security measures to safeguard sensitive information within the data platform

· Ensure compliance with data privacy regulations and industry standards

Deployment

· Conduct deployment of data pipelines developed by data engineers

Process

· Ensure operational Efficiency

· Participate in the creation of standards, guidelines, and procedures related to the data platform

· Monitor the performance, efficiency and effectiveness of operational processes and identify any areas of improvements to drive process optimization and efficiency

· Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.

· Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.

· Highlights any potential concerns /risks and proactively shares best risk management practices.

Our Requirements

· Bachelor’s degree in IT, Computer Science, Software Engineering, Business Analytics, and equivalent of 5+ years of experience in distributed systems like Big Data Hadoop.

· Proficiency in Hadoop: Proven experience in Hadoop technologies (Spark, HDFS, Hive, Sqoop, Airflow, Docker)

· Managing data infrastructure: Experience in monitoring of data platform infrastructure and incident handling.

· Knowledge of SQL: Experience in MariaDB or any other relational database management system.

· Experience with ETL: Experience in managing and operating enterprise ETL tools

· Programming skills: Experience in one or more programming languages such as Python, Java, or Scala, and be able to develop custom shell scripts and applications for data operation and monitoring

· Data warehousing: good understanding of data warehousing concepts, including data architecture, dimensional modelling, and ETL processes.

· Experience with DevOps: Experience in DevOps tools and environment (BitBucket, Jira, Bamboo)

· Experience in Agile Methodology

· Collaboration: Work closely with data analysts, data engineers, data scientists, and business stakeholders to understand data needs and provide solutions to complex data problems. Should have good communication and collaboration skills.

· Critical thinking: Ability to analyze and understand complex problem. Strong in User Requirements Gathering, Troubleshooting, Maintenance and Support

· High level of integrity, takes accountability of work and good attitude over teamwork.

· Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Hiring Location: Singapore

Airwallex is the leading financial technology platform for modern businesses growing beyond borders. With one of the world’s most powerful payments and banking infrastructures, our technology empowers businesses of all sizes to accept payments, move money globally, and simplify their financial operations, all in one single platform.

Established in 2015 in Melbourne, our purpose is to connect entrepreneurs, business builders, makers, and creators with opportunities in every corner of the world. Today, Airwallex has a global footprint across Asia-Pacific, Europe, and North America.

Who You Are? Role Overview:

In 2024, the Data Platform Engineering team is going to implement various data processing tasks on the newly built next-generation data platform. We aim to further optimize data storage, processing, application, interfaces, and other dimensions. Throughout the continuous iteration process, we will also incorporate new data components and consider new data architectures (such as Lake House) to achieve faster data scheduling, significantly reducing data latency and enabling more efficient operation of data engineering applications.

In this data engineering role, we are seeking engineers with a background in data engineering to join us in various aspects of data engineering, leveraging your past experiences in the field.

In this role, you will:

• Engage in technical decision-making, custom development, integration, and performance optimization at the foundational level, extending to the development of service layer infrastructure components, application layer, and data processing, including third-party data integration. Your contributions will enable Airwallex to evolve into a truly data-driven organization.
• Develop and automate large-scale, high-performance distributed data processing systems (batch/streaming) to drive Airwallex's business growth and enhance product experiences.
• Advocate for high-quality software engineering practices to establish scalable data infrastructure and pipelines.
• Contribute to defining shared data engineering tool standards to enhance the productivity and output quality of data engineers across the company.
• Provide guidance to junior engineers.

You might be a great fit if you:

• Have 5+ years of relevant experience as a data engineer.
• Hold a Bachelor's or Master's degree in CS/CE/CIS, (or equivalent experience) with knowledge of Kotlin / Java / Scala / Python / SQL. Knowledge of Kafka, Data Lake, Spark, Flink, DBT, Spring Boot, Hadoop, BigQuery, and Snowflake is preferred.
• Ability to take ownership of designing, building, and operating distributed systems and establishing overarching data architecture.
• Possess strong working knowledge of Real-time/Batch processing systems.
• Have experience with working data at PB scale.

At Airwallex you’ll have the ability to make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.

Airwallex is proud to be an equal-opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence, and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into concerning the specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

This Role is responsible for helping to drive the planning, execution oversight, operational excellence, internal/external thought leadership and subject matter expertise on CME’s portfolio of external value-added data products and services.

In the role, the analyst will successfully support the strategic development of new data products and services – leveraging CME Group’s own proprietary data, data from third-party partnerships, and alternative data sets – designed to expand CME Group’s Data Services business and capitalize on recognized growth opportunities.

The analyst will further assist in the management of CME Group’s DataMine distribution platform and will further focus on providing a unique and streamlined user experience. This role will work across CME supporting teams and external partners and requires a passion for business strategy and problem solving and a strong familiarity with market data in the context of financial markets.

The analyst will also help drive growth of the CME Group's data Services business by taking ownership of ongoing usage analysis, intelligence gathering and preparing key research on client trends and opportunities, as well as providing pre-sales support for onboarding and licensing customers.

Principal Accountabilities:
• Develop and generate reports and analyses based on vendor and subscriber information. This includes conducting simple to moderately complex financial and usage analysis.
• Execute ad-hoc projects to identify industry trends, customer impact of potential commercial changes and be able to deliver this and similar research in clear and business-focused formats.
• Grow and maintain knowledge levels of real time and derived data policies and fees.
• Provide pre-sales assistance for the licensing of Derived Data prospects through high level qualification techniques and articulating onboarding process to clients.
• Substantiates and reconciles reports with clear documentation. Resolves discrepancies independently and demonstrates a keen eye for numerical detail.
• Work with and develop relationships with other business units globally to effectively analyze key client behaviors.

Skills & Software Requirements:
Advanced Knowledge of Microsoft Office with emphasis on high degree of proficiency in Excel including the use of financial formulas, data analysis and pivot table features is a must. Knowledge of Microsoft Access, SQL and Visual Basic programming is highly desired. Proficiency in Salesforce and PeopleSoft or other financial database helpful.

Castlery is looking for a Senior Data Scientist to join team!

As the Senior Data Scientist, you will be part of our Data Science team, working alongside Data Analysts to provide impact to the organization through several key projects that will directly improve ROI efficiency, productivity and customer experience, which impacts conversions and revenue.

What you'll be doing:

• Build end-to-end data science products for all departments, including Marketing, Customer Experience, Supply Chain, Category Management.
• Collaborate closely with cross-functional teams to answer key business questions and enhance day-to-day business decision-making by leveraging the most suitable models and data technologies.
• Design rigorous experiments, conduct in-depth data analyses, and validate models to ensure the accuracy and reliability of predictions and recommendations.
• Stay abreast of the latest developments in machine learning, deep learning, optimization, and large language models, and apply learnings incrementally to drive innovation within the company.
• Communicate complex data science concepts and analytical results clearly and effectively to stakeholders at all levels and provide mentorship to data practitioners across the organization.

What you'll need:

• Bachelor’s or advanced degree in Mathematics, Statistics, Computer Science/ Engineering, Data Science, or a related field, with a strong record of academic achievement.
• Proficiency in programming with Python or R, with practical experience in statistical analysis, machine and deep learning modeling, and model deployment.
• Deep understanding of various machine learning and deep learning techniques, including classification, regression, unsupervised learning, and reinforcement learning, and their appropriate applications.
• Hands-on experience with large language models, optimization methods, and their applications is a strong plus.
• Expertise in one or more of the following areas: recommendation systems, advertising and marketing technologies (data management platforms and demand-side platforms), promotion optimization, demand and inventory forecasting, supply chain optimization, and generative AI.
• Entrepreneurial spirit to develop innovative solutions from scratch.
• Ability to deliver complex ideas effectively, both verbally and in writing, in English.

Title: Sales Director

Hybrid

Perm

Key Responsibilities

• Monitor market trends and competitor activities to develop and implement effective sales strategies, driving the growth of data center and telecommunication services in the international market to achieve sales targets.
• Expand new markets and establish strong client relationships within the telecommunications and data center industries.
• Understand client needs, showcase service capabilities, and deliver tailored integrated solutions to create benchmark projects that enhance market reputation and client satisfaction.
• Strengthen internal collaboration to improve project delivery and ensure smooth execution.

Requirements

• Bachelor’s degree or higher, with at least 10 years of experience in Energy/Power solutions for data centres.
• Over five years of international sales experience in the data center or power communication industry.
• Good network within the industry.
• Strong communication, negotiation, and sales skills, with the ability to independently achieve sales goals.
• Excellent team collaboration skills and the ability to work effectively across departments.
• Strong market analysis and business development capabilities, with a keen sense of market trends.
• Proficiency in English and Mandarin, familiarity with technical terminology for the power and telecommunications industries. Additional knowledge of Southeast Asian languages is a plus.

(EA:20C0196)

R22108971

Job Description

• Collaborate with stakeholders (customers, partners, colleagues) on data-related technical issues and infrastructure needs.
• Work with data scientists to gather data requirements for modeling.
• Design, develop, document, manage, and maintain data models, ETL processes, data warehouses, data management, and pipeline solutions for large volumes of structured/unstructured data from various sources with different latencies (on-demand, batch, real-time, near-real-time).
• Define, monitor, and report SLAs for data pipelines and products.
• Ensure data security and governance standards are met.
• Execute data quality assurance practices.
• Support data management solutions pre-sales initiatives, proposal development, and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Expertise in relational/non-relational/NoSQL databases and enterprise data warehouses/marts.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, HBase).
• Knowledge of data ingestion technologies (e.g., Flume, Kafka, NiFi).
• Experience in scripting, programming, and software development (e.g., Java, C/C++, Python, R, MATLAB, Scala, SQL) for Windows or Linux.
• Experience in master data management, data governance, and data lifecycle management.
• Skilled in designing, documenting, implementing, and supporting data management solutions.
• Familiarity with software engineering best practices (development, programming, testing, version control).
• Knowledge of data privacy and security assurance.
• Understanding of machine learning, computer vision, and large language models is a plus.

Soft Skills

• Excellent written and verbal communication skills.
• Highly organized, motivated, independent, and resourceful team player.
• Strong analytical thinking, interpersonal, and problem-solving skills.
• Ability to work productively in a matrix reporting and fast-paced environment.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data engineers to join us.

Location: Central

Roles and Responsibilities:

• Design and develop scalable data pipelines using Databricks, ensuring data integrity and availability.
• Collaborate with stakeholders to understand their data needs and provide solutions.
• Assist users in utilizing Databricks effectively, providing training and support to enhance their data processing and analysis capabilities.
• Monitor and optimize data workflows and queries for performance improvements.
• Implement best practices for data governance, security, and compliance within Databricks environments.
• Document data architecture, pipelines, and processes for knowledge sharing and future reference.
• Troubleshoot and resolve issues related to data processing and Databricks functionalities.

Skills Required:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer with a strong focus on Databricks.
• Proficiency in Python/Pyspark and data modeling techniques.
• Experience with ETL tools and data integration processes.
• Excellent communication skills with the ability to explain complex concepts to non-technical users.
• Experience in providing user support and training is highly desirable.

Responsibilities

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Requirements

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Interested applicants, please Email , and look for [email protected]

John (Joax) Wong

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R23117179

We regret that only shortlisted candidates will be contacted.

Job Highlights

Salary: $2800 per month

Contract Duration: 11 months

Working Location: Nearest to Labrador Park MRT

Working Hours: Monday to Friday, normal office hours

Job Descriptions

• Design, develop, update and maintain the Data Centre (DC) database and dashboard using
  Tableau.
• Collate operational data from multiple stakeholders and update the DC database.
• Analyse the data/database to uncover trends, patterns, and insights, and generate/update
  dashboards and reports to aid in operational and policy decisions

Job Requirements

• Only Singaporean need to apply.
• Diploma in Computer Science, Data Science, Mathematics, Statistics, Business Analytics or equivalent field.
• Familiar in visualizing data using Tableau.

Interested candidate please click ‘Apply Now’. We regret to inform that only shortlisted candidates will be contacted.

Yee Kar Seng

Outsourcing Team

BGC Group Pte. Ltd.

EA Registration No.: R22107286

EA License Number: 05C3053

About the Job

Our mission to positively impact people's lives every day in every home around the world allows our employees to be thinkers and tinkerers, designers and doers, creators and number crunchers, makers of things they love.

Shark Ninja is expanding our APAC business and scaling it rapidly. Our two brands, Shark, and Ninja, have enjoyed unprecedented growth in the past 5 years, driven mainly by the very strong innovation pipeline on both brands. Given this success in our existing markets, Shark Ninja has embarked on a bold plan for growing APAC business, in which APAC plays a critical role.

As we continue to grow, we are looking for a Business Data Analyst to join our team. This role will be based at our APAC HQ in Singapore.

Position Overview

The Business Data Analyst reporting to VP Finance, APAC will play a critical role in driving breakthrough results for Shark Ninja’s APAC operations by developing and operationalizing data-driven solutions. This role will focus on creating and maintaining business dashboards, market share reporting, investment analysis, NPD tracking, and setting the stage for a comprehensive APAC Data Warehouse and Reporting solution.

Here are some of the EXCITING things you will get to do:

Holistic Business Dashboard Development:

• Consolidate and define key business KPIs across financial, commercial, and operational metrics.
• Design workflows to streamline the dashboard creation process, integrating with current systems and preparing for future data warehouse implementation.
• Provide high-level analysis and actionable insights to drive APAC business performance.

Market Share Reporting & Analysis:

• Develop a standardized dashboard for market share reporting across local markets.
• Automate market share reports and collaborate with the sales and CI teams to provide insights on SharkNinja’s portfolio and key competitors.
• Operationalize monthly market share highlights for timely and impactful reporting.

Investment Analytics:

• Collaborate with cross-functional teams to design frameworks for assessing ROI for various investments
• Provide insights on investment effectiveness and assess data readiness across regions for further application.

NPD (New Product Development) Launch Readiness Tracking:

• Develop systems to efficiently track NPD readiness, highlighting the potential for market success.
• Operationalize post-launch tracking to assess progress toward key targets and enable timely course correction.

APAC Data Warehouse and Reporting Solution:

• Work closely with stakeholders to map out the current IT data landscape, understanding data sources, granularity, and update frequency.
• Partner with Data Cloud & Architect Manager in the setup of a future state data warehouse and reporting solution, to enable more efficient business analytics.
• Rebuild and transition reports from existing platforms (Power BI, Tableau) to the finalized reporting tool.

Essential requirements

• Bachelor’s degree in Data Science, Business Analytics, Information Technology, or a related field.
• Strong proficiency in data analysis tools (e.g., SQL, Power BI, Tableau, Excel) and experience in developing dashboards and reporting systems.
• Excellent problem-solving and analytical skills, with a focus on actionable insights.
• Experience collaborating with cross-functional teams (sales, marketing, finance).
• Familiarity with data warehousing principles and reporting tool integration.
• Strong communication skills, with the ability to present complex data insights to stakeholders at various levels.