RESPONSIBILITIES:

Handle end-to-end work pass applications, renewals, and cancellations, ensuring compliance with MOM regulations.

Handle recruitment

Maintain accurate records of work pass statuses and related correspondence.

Manage employee records in HR systems, ensuring data accuracy and confidentiality.

Assist with recruitment processes, including job postings, interview scheduling, and onboarding.

Support performance review cycles, training coordination, and HR projects.

Provide administrative support to ensure smooth office operations.

REQUIREMENTS:

Diploma or degree in Human Resource Management or a related field.

Proven experience in HR administration, including work pass applications.

Strong understanding of MOM regulations and Singapore employment laws.

Excellent organizational and time management skills.

Proficiency in Microsoft Office Suite and HR software.

Good communication and interpersonal skills.

We are seeking a highly skilled and motivated Data Analyst to join our Technology team. The successful candidate will play a pivotal role in analysing detailed processes, functional and data requirements, drafting functional design and data specifications, and supporting testing and implementation to align with the future footprint of Investments and Finance systems. You will collaborate with business stakeholders in Insurance sites to ensure their requirements are effectively met.

Key Responsibilities

1. Solution Design: Collaborate with the Global Program team to analyse, review, and design solutions for INSP Investment Services to meet the requirements of INSP Singapore Insurance.
2. Data Integration: Partner with delivery teams and source system teams to ensure the timely and accurate extraction of new data fields as required.
3. Testing & Issue Resolution: Conduct System Integration Testing (SIT) and System Testing on system builds. Liaise with IT to resolve issues identified during User Acceptance Testing (UAT) or establish workaround solutions.
4. Regulatory Compliance: Operate within a highly regulated environment, working closely with Financial Controls and engaging with key stakeholder groups, including Group Finance Operations Centers (GFOC), Finance senior managers, and Accounting Policy teams.
5. Control Framework Implementation: Streamline processes, reduce manual interventions, and implement automated controls to enhance the overall control framework.
6. Documentation & Training: Prepare comprehensive system documentation, user manuals, and provide training to end-users when required.

Qualifications & Skills Required

• Experience: At least 5 years of experience in Insurance, Investments, or Finance transformation functions or IT, with the ability to interpret data attributes and system logic in Insurance Policy Administration and Investment Fund Management systems.
• Project Expertise: Proven track record in Finance projects involving data tables, extracts, and reporting, with a strong focus on meeting business reporting needs and solving business problems.
• Technical Knowledge: Familiarity with Google Cloud Platform and BI reporting tools.
• Analytical & Problem-Solving Skills: Demonstrated ability to adopt inclusive approaches, achieve consensus on complex issues, and think independently and innovatively.
• Stakeholder Management: Strong influencing skills and experience managing local stakeholder relationships and delivery partners to drive change effectively.

We are seeking a highly skilled and motivated Data Analyst to join our Technology team. The successful candidate will play a pivotal role in analysing detailed processes, functional and data requirements, drafting functional design and data specifications, and supporting testing and implementation to align with the future footprint of Investments and Finance systems. You will collaborate with business stakeholders in Insurance sites to ensure their requirements are effectively met.

Key Responsibilities

1. Solution Design: Collaborate with the Global Program team to analyse, review, and design solutions for INSP Investment Services to meet the requirements of INSP Singapore Insurance.

2. Data Integration: Partner with delivery teams and source system teams to ensure the timely and accurate extraction of new data fields as required.

3. Testing & Issue Resolution: Conduct System Integration Testing (SIT) and System Testing on system builds. Liaise with IT to resolve issues identified during User Acceptance Testing (UAT) or establish workaround solutions.

4. Regulatory Compliance: Operate within a highly regulated environment, working closely with Financial Controls and engaging with key stakeholder groups, including Group Finance Operations Centers (GFOC), Finance senior managers, and Accounting Policy teams.

5. Control Framework Implementation: Streamline processes, reduce manual interventions, and implement automated controls to enhance the overall control framework.

6. Documentation & Training: Prepare comprehensive system documentation, user manuals, and provide training to end-users when required.

Qualifications & Skills Required

1. · Experience: At least 5 years of experience in Insurance, Investments, or Finance transformation functions or IT, with the ability to interpret data attributes and system logic in Insurance Policy Administration and Investment Fund Management systems.
2. · Project Expertise: Proven track record in Finance projects involving data tables, extracts, and reporting, with a strong focus on meeting business reporting needs and solving business problems.
3. Technical Knowledge: Familiarity with Google Cloud Platform and BI reporting tools.
4. Analytical & Problem-Solving Skills: Demonstrated ability to adopt inclusive approaches, achieve consensus on complex issues, and think independently and innovatively.
5. Stakeholder Management: Strong influencing skills and experience managing local stakeholder relationships and delivery partners to drive change effectively.

We regret to inform that only shortlisted candidates will be notified / contacted.

EA Registration No: R22105541, TAY ZHIHENG, DARIUS

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Job Description:

• Collaborate with stakeholders to define business and information needs.
• Translate business requirements into analytics and reporting specifications.
• Optimize and automate data collection processes.
• Extract insights from raw data and present findings clearly through reports and visualizations.
• Assist with daily operational tasks, including application and server support.
• Support the sales and marketing teams in presales activities for potential customers.

Job Requirements

• Bachelor’s Degree or Diploma in Business Analytics, Computer Science, Data Analytics, Information Technology, or a related discipline.
• 1-3 years of hands-on experience in data science or data engineering is preferred.
• Strong oral and written communication skills.
• Proficiency in Python, R, or another programming language.
• Experience with various databases (e.g., MSSQL, PostgreSQL, Oracle DB).
• Solid understanding of data analytics and processing tools such as Power BI, MicroStrategy, and Robotic Process Automation (RPA) is preferred.
• Proven experience in operationalizing end-to-end data analytics solutions.
• Familiarity with cloud services, particularly Amazon Web Services (AWS), is a plus.

The Data Engineer plays a crucial role in the creation and maintenance of our advanced data analytics vital to the hospital's data-driven decision-making processes. The role focuses on the acquisition, storage, retrieval, and optimization of data from various sources to support clinical, operational, and research initiatives. Role also supports the work of Group Chief Data Officer (GCDO) for Data Analytics.

Data Sourcing and Collection:
• Identifying and understanding source systems.

• Gathering requirements on frequency, volume, and types of data.
• Ensuring data privacy and compliance measures are in place.

Data Ingestion using Informatica IDMC and/or Spark using Python:
• Designing, implementing, and optimizing data ingestion pipelines. • Ensuring reliability and fault tolerance of ingestion pipelines.
• Handling data transformations, if necessary, during ingestion.
• Collaborate and manage vendors if required to for the data ingestion

Data Lake Management:
• Proper structuring of the data in the DataBricks Lakehouse to ensure it is usable and performant.

• Setting up data partitioning, indexing, and archival strategies.
• Monitoring data growth and storage consumption.

Data Quality and Validation:
• Implementing data quality checks and validation rules during ingestion. • Ensuring data consistency, accuracy, and integrity.
• Setting up alerts for any data anomalies or issues.

Integration with DataBricks Lakehouse:
• Making sure the ingested data is accessible, query-able, and optimized for performance in DataBricks.

• Collaborating with data scientists and analysts to ensure the data meets their requirements.

Performance Tuning and Optimization:

• Monitoring ingestion pipeline performance and making and coordinate necessary adjustments.
• Ensuring data loads meet SLAs and optimizing as needed

Security and Compliance:

• Setting up appropriate access controls and permissions. • Ensuring data encryption at rest and in transit.
• Regularly auditing and reviewing data access patterns.

Data Extraction Requests:
- Assist with data extraction requests

Documentation and Knowledge Transfer:
• Creating thorough documentation on data ingestion pipelines, schedules, transformations, etc.

• Conducting regular knowledge sharing sessions with other team members.
Collaboration:
• Working closely with other data engineers, data scientists, business analysts, and stakeholders.
• Communicating any changes, downtimes, or issues proactively.

Role Purpose

• Responsible for information requirement and business analysis, data modeling, and providing data model and message schema standards that satisfy the business requirements.
• Responsible for the Solution Architectures that satisfy the business requirements of projects/programs aligned with the Express IT Target Architecture, Domain Roadmaps, and the IT and Security Standards.
• Responsible for defining Solution Architectures that reduce IT complexity through reusable, supportable, extensible, and cost-efficient solutions.
• Responsible for the architecture implementation working closely with project IT teams through the complete project lifecycle: from inception to design, technology selection, build, test, and deployment.
• Responsible for overseeing vendors’ architects’, ensuring compliance.
• Ensure the project benefits from reusing existing assets.
• Responsible for communicating the Solution Architecture to the project/ program stakeholders guiding the IT project teams during architecture implementation, and ensuring it is understood.
• Ensure that governance processes, including Architecture, development, and infrastructure standards and security mandates and principles, are followed.
• Responsible to the relevant Domain Architect for the alignment of the Solution Architecture with the Domain Architecture.
• Responsible to the Head of Enterprise Architecture for cross-domain solution architectures and alignment to the Express IT Target Architecture.
• Contributor to the evolution of the Enterprise Architecture with best practices and emerging technologies.

Customer

• Member of the Global business Architecture Group.
• Build working relationships with subject matter experts (business and IT) and program management to scope, specify and develop an appropriate Solution Architecture.
• Build working relationships with the Integration and Data architects to achieve an implementable Solution Architecture aligned with the IT and Security Standards.
• Build working relationships with Business representatives and IT representatives to gain sufficient understanding of the Business needs and variance to allow a clear definition and optimization if required of a Solution Architecture.
• Identify and document all aspects/views of the solution.
• Review project documentation to ensure compliance with the Solution Architecture. Ensure that the designs are consistent with the overall Express IT Target architecture.
• Track; provide visibility to architecture exceptions to Enterprise Architecture. Raise and document the exceptions.

Stakeholder

• Responsible to the Domain Architects for the implementation of the Domain Architecture and Standards.
• Responsible to the project/program manager for the specification of a Solution Architecture that satisfies the business requirements implementable within the constraints of budget and timelines.
• Working relationships with other members of the architecture teams to seek alignment and leverage opportunities across DHL Express.
• Propose Global Enterprise Architecture best practices that result from the IT solution implementation.
• Ensure the architecture governance and touch point processes are followed during the project lifecycle.
• Identify areas of sunset in the Domain IT landscape view and propose the Enterprise Architecture simplification strategies.

Process

• Responsible for the realization of the IT Solution Architecture of projects.
• Contribute to the development and realization of the divisional target architecture.
• Provide impact analysis on potential changes to the solution architecture e.g. as a result of changes in the business requirement or IT solution.

Job Requirements

• Advanced University Degree in Computer Science or Information Systems or equivalent education.
• Architecture certifications from the information systems professional body are preferred.
• Preferably 8 years of multi-disciplined IT experience including:
  5 years of Architecture responsibilities in large, sophisticated organizations with high volume/high transaction environments; Ideally Logistics, Airlines, Supply Chain, and Transportation industries.
• Experience in Agile methodology is required.
• Development experience in a team that has provided world-class results, specification, and configuration of systems, and interfaces, including data and performance analysis across large multi-national organizations.
• Experience in Automated Sort and Clearance arenas.
• Expertise in Service Oriented Architecture (SOA), including Event management, Business Process Management, Business Rules Engine, and Complex Event Processing with exposure to Digitalisation and Cloud implementations.
• Knowledge of operational processes in Logistics Hubs and Gateways is a plus.
• Able to gather and assimilate information needed for the analysis of a solution architecture; analyses and defines functional and technical requirements; prepares architectural requirements documentation.
• Identifying and understanding issues, problems, and opportunities; comparing data from different sources to conclude; using effective approaches for choosing a course of action or developing appropriate solutions; taking action that is consistent with available facts, constraints, and probable consequences.
• Establishing courses of action for self and others (i.e., IT suppliers) to ensure that architecture is developed and implemented efficiently.
• Accomplishing architecture tasks by considering all areas involved, no matter how small; showing concern for all aspects of the job; accurately checking processes and tasks; being watchful for deviations in quality.
• A strategic thinker with the imagination and foresight to conceptualize new technological solutions and products that address the core business objectives, whilst remaining pragmatic with implementable solutions.
• Energetic, enthusiastic, and results-oriented.
• Committed to “best practices” and best-in-class architecture frameworks and development methodologies enabling to position business as a leader and innovator in the marketplace.
• In depth technical background with solid accomplishments in delivering solutions against a set of architectural principles.
• Superior communication skills with technical and non-technical senior management.
• Ability to work in a team, with strong partner/supplier management skills.
• Ability to overcome the complexities involved in changing processes and implementing new technologies, and the resulting impact on people and the organization.
• Ability to focus on what is important for the organization as a whole whilst operating within a level of organizational ambiguity.
• Experience in a regional or global capacity role is preferred.

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.

What you'll be doing

• Perform analyses on products to answer open-ended questions and provide strategic recommendations.
• Design and guide experiments/analysis to measure impact and drive product improvements.
• Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis.

What we look for in you:

• At least a BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥2+ years of relevant experience.
• Experience driving impact for a digital product with an iterative development cycle.
• Understanding of statistical concepts and practical experience applying them (in A|B testing, causal inference, ML, etc.).
• Experience in data analyses using SQL.
• Experience in programming/modeling in Python.
• Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

PID: P59945

Job Summary
• This role is responsible for ensuring the successful implementation of new IT systems, including solution design, development, and deployment. The role provides technical leadership in the planning, design, and architect phases of IT solutions development. The role oversees and leads services, processes, and resources related to technology solutions across the organization. The role shapes IT strategy, develops optimal solutions, and provides subject matter expertise related to IT solutions offerings.

Responsibilities
• Leads large development team and drives analysis of complex functional and business requirements.
• Leads design activities and provides mentoring and guidance to other developers.
• Demonstrates technical leadership, and exerts influence outside of immediate team.
• Applies in-depth or broad technical knowledge to provide maintenance solutions across one or more technology areas (e.g. Database Administration).
• Applies HP and 3rd party technologies and leads design of highly complex infrastructure and software solutions.
• Implements end-user or enterprise infrastructure or services of significant complexity.
• Implements security measures and best practices to protect software applications from vulnerabilities and threats.
• Works with CI/CD pipelines to automate software builds, testing, and deployment processes.
• Integrates technical expertise and business understanding to create superior solutions for HP and customers.
• Mentors and consults with team members and other organizations, customers and vendors on complex issues.

Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Information Technology, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in computer programming languages, testing tools, or a related field.

Preferred Certifications
• Programming Language/s Certification (Java, C++, Python, JavaScript, or similar)

Knowledge & Skills
• Agile Methodology
• Angular (Web Framework)
• Application Development
• Application Programming Interface (API)
• Automation
• Business Process
• Business Requirements
• C# (Programming Language)
• Cascading Style Sheets (CSS)
• Computer Science
• Debugging
• HyperText Markup Language (HTML)
• Java (Programming Language)
• JavaScript (Programming Language)
• Microsoft Azure
• Python (Programming Language)
• Scrum (Software Development)
• Software Development
• SQL (Programming Language)
• Web Services

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.

Responsiblities:

• Perform data extraction, cleaning, transformation, and flow. Web scraping may be also a part of the work scope in data extraction.
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks
• Collaborate with Project Manager, Visualisation Developer, Data Scientist, UX Designers and Data Analyst to build scalable data-driven products
• Work in an Agile Environment that practices Continuous Integration and Delivery
• Support and advise best practices in data management standards, policies and procedures
• Work closely with fellow developers through pair programming and code review process
• Integrate and collate data silos in a manner which is both scalable and compliant
• Be responsible for developing backend APIs working on databases to support the applications

Requirement/Skillset:

• To take up BAU Ops tasks for existing on-premise data warehouse
• Talend
• Tableau
• MS SQL
• Fresh graduates with good degree or mid-career conversion is welcome

EA License Number : 11C4879

• Min 3 years of experience.
• At least 5 years of data-related working experience, with at least 3 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

12 months renewable contract through Encora

Technical expertise regarding data models, database design development, data mining, clustering and segmentation techniques

• Strong knowledge of and experience with reporting packages (Cognos), databases (SQL etc), programming (Python/R and ETL frameworks)

• Prior experience in handling Python libraries: Pandas, Numpy, Scikit learn, Python Dash, Bokeh, Matplotlib

• Strong Knowledge in statistics and statistical packages for analysing datasets (Excel, SPSS, SAS, Python etc)

• Must have Visualisation knowledge and able to create dashboards in Tableau and PowerBI

• Need to have hands-on experience in Tableau server (Publishing workbook, Administration settings)

• Knowledge in java, C/C++, RTOS QNX is added advantage

• Proven working experience as a data analyst or business data analyst preferred

• 5 to 8 years of relevant expertise.

• Degree in Computer Science, Electrical/Electronic Engineering/Information Management or Statistics

About Us!
The mission of the Housing & Development Board (HDB) is to provide affordable, quality housing and a great living environment where communities thrive. To achieve its mission, HDB strives to be data-driven to the core, adopting evidence-based decision making to develop better housing policies service, improve service delivery and optimise operations.

What Will You Do?

As a data scientist, you will play an important role in supporting HDB on its journey to become data-driven to the core. In this role, you will assume the following responsibilities: 

• Provide guidance to business units on data science techniques and how it may help them 

• Conceptualise and execute data science projects for business units

• Apply analytical techniques such as data mining, statistical analysis, machine learning etc.

• Uncover actionable insights and present them clearly in an easy-to-understand manner

• Work with IT and Internal Audit units to operationalise data science projects by deploying them into production and maintaining them

• Document, share and continuously improve data science practices 

• Manage a range of stakeholders, while remaining focused on delivering high-impact data-driven outcomes for the good of the organization.

Some of the projects that you might be involved in include:

• Data visualization for pattern and trend identification

• Anomaly detection via machine learning algorithms

• Analysing textual data for insights and compliance issues

• Identifying trends and deviations for further investigation

You will be a Great Fit if you:

• Possess a relevant background (i.e., Bachelor’s, Master’s preferred) in Statistics, Data Science, Machine Learning, Economics, Mathematics, Operation Research, Computer Science or related technical field from a reputed institution. 
• Have 2+ years of relevant work experience in a business analytics or data science facing role
• Are experienced in use cases related to audit/compliance will be beneficial
• Are proficient in analytical tools such as Python, R, Tableau, etc.
• Have strong analytical, project management and organization skills

An Ideal Candidate would be:
- A team player who loves working with diverse teams
- Passionate about working in the public service for the public good
- Independent and self-driven
- A clear and competent communicator

Successful candidates will be offered a 1+1 year contract in the first instance. Conversion to perm is dependent on good performance.

Find out more about a career with HDB at www.hdb.gov.sg/cs/infoweb/about-us/careers

Please apply for the job through the Careers@Gov job portal as linked:

https://www.careers.hrp.gov.sg/sap/bc/ui5_ui5/sap/ZGERCFA004/index.html#/JobDescription/15360562/bd622d52-6b55-1eef-acdd-3644bd636206

About OSL

OSL is the first HK-based and SFC-licensed Virtual Asset Trading Platform. Offering over-the-counter (voice and electronic) digital assets execution, an agency exchange platform, customer segregated assets and the world's best insured custody solution of digital assets.

As the first SFC-licensed, HK-listed (863 HK) and ‘Big-four’-audited digital asset and fintech company, OSL is one of the largest digital asset platforms, providing principal brokerage, custody, exchange and SaaS services to institutional clients and professional investors.

Overview

We are looking for a skilled Data Analyst to help establish and standardize data processes across the company and its business lines. This is a unique opportunity to build our data foundation from scratch (0–1) and drive meaningful business impact through data insights.

As part of our early-stage team, you’ll thrive in a fast-paced environment where your ideas and expertise will be highly valued. You’ll work on building critical data infrastructure, shaping growth strategies, and supporting market expansion efforts in new countries. If you’re passionate about solving complex problems, leveraging data to influence decisions, and being part of a team that drives real business growth, this is the role for you.

Why Join Us Now?

• Early-Stage Impact: Be part of the foundational team building the company’s data infrastructure and warehouse.
• Dynamic Growth Opportunities: Work alongside our expanding business to explore and develop strategies in new markets and countries.
• Influence and Ownership: Use data insights to shape growth strategies, drive decision-making, and have a direct impact on business outcomes.

Key Responsibilities:

Data Standardization and Framework Development:

• Establish and enforce company-wide and business-line-specific data standards.
• Collaborate with cross-functional teams to align data practices with business needs.

Data Infrastructure and Pipeline Management:

• Design and build scalable ETL pipelines and data warehouses using tools like MySQL, Google Cloud, and AWS.
• Maintain data integrity and ensure seamless data accessibility for analytics.

Data Analysis and Insights Generation:

• Conduct product, growth, and operational analytics to uncover trends, inform strategy, and optimize performance.
• Partner with teams to translate business questions into analytical solutions.

Data Visualization and Reporting:

• Create dashboards and reports using data visualization tools to communicate insights effectively.
• Ensure stakeholders have actionable insights to drive business decisions.

Market Expansion Analytics:

• Support business expansion into new markets by analyzing data to inform strategy and identify opportunities.

Ideal Candidate Profile:

Experience:

• 3–5 years in a data analyst role within an internet or tech company.
• Proven experience in product analytics, growth analytics, operations analytics, or data product development.

Technical Skills:

• Proficient in data warehouse architecture and ETL pipelines.
• Hands-on experience with tools like MySQL, Google Cloud, AWS, and data visualization tools (e.g., Tableau, Power BI, or Looker).

Soft Skills:

• Strong problem-solving and critical thinking abilities.
• Excellent communication skills to explain complex data insights to diverse audiences.

Language:

• Fluent in English and Mandarin to collaborate effectively across teams and markets.

• Bachelor's degree in Data Science, Statistics, Finance, or a related field.
• Proven experience as a Data Analyst or similar role in the financial services industry.
• Proficient in data visualization tools such as Tableau or Power BI.
• Strong knowledge of SQL and experience with data querying and manipulation.
• Experience with statistical analysis software such as R or Python.
• Ability to communicate complex data insights effectively to non-technical stakeholders.
• Strong attention to detail and problem-solving skills with a commitment to accuracy.

• Build data systems and pipelines
• Data Migration
• Data ingestion of new data sources.
• Create data pipeline for integrating the incremental feeds and historical load for new data sources.
• Conduct complex data analysis and report on results
• Prepare data for prescriptive and predictive modeling
• Developed Oracle PLSQL packages to perform data reconciliation
• Design and build programs which transform data to the Data model
• Build algorithms and prototypes
• Combine raw information from different sources
• Create procedures, functions, and packages to ingest daily transaction data, transform and feed it into the reporting data layer.
• Explore ways to enhance data quality and reliability
• Develop analytical tools and programs
• Collaborate with data scientists and architects on several projects
• Have good knowledge in Informatica BDM, SQL Server, Oracle SQL / PLSQL, Unix scripting , Hive, Impala, HDFS, Scala, Control-m / TWS

We are currently looking for innovative and organized individuals with the ability to work through large volumes of operational sales activities including implementation, optimization and reporting. Data analysts will support the needs of the Global Partnership sales team and publishers around the world through our email systems and by interacting in a cross-functional work environment.

Core Tasks:

• Perform large scale data analysis to identify trends and efficiency opportunities
• Support implementation and optimization for Programmatic monetization and Platform solutions.
• Support GP sales users through our email customer service tools.
• Troubleshoot account issues where required and provide account administration support.
• Contribute to automation efforts and offer possible solutions to increase operational efficiencies.
• Perform other administrative and operational role-related tasks such as: creating reports, presentations, communicating with stakeholders.

Mandatory Skills :

• At least 3 years of work experience with Account Management, Ad Operations or Project Management (experience with AdX, AdSense, AdMob, and DFP a plus).
• Problem-solving, analytical skills, comfortable handling and interpreting data.
• Ability to work through large volumes of support requests from our internal Sales customers within specified time frames.
• Broad understanding of online advertising solutions (i.e. ad serving, monetization) and of key platforms and trends (i.e. desktop, mobile, video).
• Advanced knowledge of Microsoft Office Suite: Excel, Word, PowerPoint & basic knowledge of SQL.
• Strong professional etiquette, organizational skills and attention to detail.
• Extremely organized, responsible, and having the proven ability to work well independently and with a team. - Quick learner, strong collaboration skills.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Data Scientist

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

• Understand complex real-world problems and leverage domain knowledge to develop reliable models
• Strategize ways of constructing training datasets that are representative, diverse and free of bias
• Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
• Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
• Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
• Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

• Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
• Familiar with Python is a must
• Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
• Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
• Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

Good to Have

• Excellent communication skills - able to present their findings and models to senior stakeholders
• Experience in deploying models and systems into production environments
• Knowledge of golang
• Experience with developing Deep Convolutional Neural Networks (CNN)
• Familiar with Software Development Life Cycle (SDLC)
• Fluent in Data Visualization

1. Data processing from reading taken in fieldwork.

2. Training in engineering software will be provided.

3. Basic computer skills, able to use MS Office.

4. Highly motivated, must be able to work well collaboratively or independently.

5. Attention to detail, responsible, and well organized

We are seeking a seasoned Data Engineer with over 3 years of relevant experience in data engineering, business intelligence, and AI-driven analytics with overall 10 years + of experience. The ideal candidate will have a proven ability to design scalable data pipelines, implement machine learning models, and deliver data-driven solutions that optimize decision-making processes. This role requires close collaboration with cross-functional teams to align business needs with technical capabilities while ensuring data integrity, security, and compliance.

Key Responsibilities

• Design, implement, and maintain ETL workflows for managing large-scale datasets.

• Develop cloud-based data pipelines (AWS, Azure) for scalable and real-time analytics delivery.

• Optimize data models to ensure high performance and reliable reporting.

• Create advanced dashboards and visualizations using tools like Qlik Sense and Tableau.

• Incorporate predictive analytics and AI-driven insights to enhance decision-making.

• Automate trend analysis and forecasting using machine learning techniques.

• Develop and integrate machine learning models for real-time predictive analytics.

• Implement AI-driven algorithms for anomaly detection, trend identification, and operational efficiency.

• Establish and enforce data governance frameworks to maintain data integrity, security, and compliance.

• Perform regular audits to ensure high-quality and consistent data systems.

• Collaborate with cross-functional teams to develop tailored data solutions.

• Mentor and train teams on best practices for business intelligence and analytics tools.

• Engage with stakeholders to understand complex business requirements.

• Deliver customized reports and data-driven insights aligned with client strategies.

Qualifications

• Education:

• Bachelor’s in Computer Applications or related field.

• Technical Expertise:

• knowledge in Qlik Sense, Tableau, and other business intelligence tools.

• Hands-on experience with cloud platforms like AWS and Azure.

• Strong skills in ETL workflows, data pipelines, and data modeling.

• Advanced knowledge of AI and machine learning frameworks, including predictive modeling and analytics.

• Certifications (Preferred):

• Qlik Sense Business Analyst Certification.

• Qlik Sense Data Architect Certification.

• Experience:

• 3+ years in data engineering, business intelligence, and AI-driven analytics.

• Proven success in leading data-driven projects and implementing scalable solutions.

• Design, develop, test, and implement Tableau dashboards and visualizations
• Supporting Business dashboards, projects, and ad-hoc requests
• Manage portfolio of existing and future Tableau dashboards and deliverables (data preparation, security design, access management, data visualizations design, testing, optimization and automation, enhancement roadmap, portfolio catalog, development prioritization, user adoption and training)
• Lead the implementation of enhanced dashboard access and data sharing security framework for Business dashboards requirements
• Deliver meaningful insights, trends, and analysis across all Business areas using a variety of internal and external data sources
• Participate in gathering requirements and consulting with customers to understand business problems and find the best way to visualize outcomes
• Participate in cross-functional projects
• Translate analysis outcomes into compelling data visualizations that are intuitive and prompt insights and actions
• Use data to tell stories by creating visually appealing reports, Tableau dashboards, and presentations for our internal customers

Job requirement

• Bachelor Degree in Computer Science or Information technology
• Basic knowledge of products, services and channels in fin tech industry
• Strong background in database concept.
• Expert in Data Visualization tools (e.g. Tableau, QlikView, Power BI etc.)

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform -

https://sg.go.persolkelly.com/job/details/10579

We regret to inform that only shortlisted candidates will be notified.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E
EA License No. 01C4394 • EA Registration No. R1105286 (Ngiam Xinyi)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates collecting, using and disclosing my personal data for the purposes set out in the Privacy Policy which is available at www.persolkelly.com.sg I also acknowledge that I have read, understood, and agree to the said Privacy Policy.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

• A data architect with Exp of 8Yrs + to design and create data systems, databases, and structures to organize and store data effectively.
• must be having good Business understanding of data model designing (Conceptual Data Model, Logical Data Model, Physical Data Model) of new aged digital implementations based on Microservices and Be Spoke Application.
• must be versed with agile implementation of Data modeling.
• must have working exp in implementation IT Project as Data Architect.
• must be able to collaborate with IT teams, analyze business needs, and ensure data solutions align with Project phase goals.
• Responsibilities include data modeling, defining database architecture, optimizing data retrieval, and ensuring data security.
• Strong knowledge of AWS Postgres database technologies, data warehousing, Data security and data governance is essential for this role.
• Also Good to have working exp as Data Architect in SG Gov Sector in IT Project.

RESPONSIBILITIES:

Handle end-to-end work pass applications, renewals, and cancellations, ensuring compliance with MOM regulations.

Handle recruitment

Maintain accurate records of work pass statuses and related correspondence.

Manage employee records in HR systems, ensuring data accuracy and confidentiality.

Assist with recruitment processes, including job postings, interview scheduling, and onboarding.

Support performance review cycles, training coordination, and HR projects.

Provide administrative support to ensure smooth office operations.

REQUIREMENTS:

Diploma or degree in Human Resource Management or a related field.

Proven experience in HR administration, including work pass applications.

Strong understanding of MOM regulations and Singapore employment laws.

Excellent organizational and time management skills.

Proficiency in Microsoft Office Suite and HR software.

Good communication and interpersonal skills.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Job Description:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Requirements:

• Minimum total three years’ work experience as Data Scientist.

Job Description:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Requirements:

• Minimum total seven years’ work experience as Data Scientist.