As a Senior Data Center Operations Engineer, you will work as a member of the team of engineers and be responsible for facilities in Singapore and oversee the overall health of the facilities.  You will be involved in 

• Workflow of day to day operations of the facilities. 
• Capacity deployment and forecasting. 
• Budgets and maintaining facility stock
• General operational uptime/maintenance scheduling
• Vendor management
• Facility Evaluation
• Builds and deployments
• Strategic global projects
• Cross organizational collaboration 
• Conduct all audits as required
• Coordinating with the onsite delivery and shipping of all equipment
• Developing, documenting and evangelizing a catalogue of standards and best practices for data center operations
• Functioning as one of the main regional points of contact and be accountable for all vendors who operate inside of our data centers.  Will act as the operational point of contact for all builds, expansions and maintenances. 

Data & KYC Officer

1. As key officer for on-boarding of Treasury FIs/NBFIs, to perform all required initial KYC, Due Diligence, AML, related party & other required screenings.
2. To diligently perform regular KYC, Due Diligence, AML and related reviews for Treasury’s FIs, NBFIs & Issuers.
3. Data officer for all Treasury FIs/NBFIs/Issuers static data, to perform static data maintenance & review.

FI Relationship Management

1. To work in collaboration with Group FI in managing a network of FI relationship that is instrumental to revenues generation and expense controls.
2. Maintain regular close relationship or communications with FIs & NBFIs for products, business opportunities and dealing lines/relationship.
3. To liaise with GFI in annual review of lines and increase the counterparty banks lines for Singapore.

Financial Perspective

1. Cross sell of existing Treasury/FI Products to generate and increase revenue
2. Assist with Bank’s NCD program and eMTN issuances and other funding sources
3. Support the Department/Division Head in the delivery of banking services to meet the Department/Division’s revenue targets. 

FI Support and Advisory

1. Provide support /advisory role Treasury and Branch on queries relating to international FI business
2. Provide FI solutions and support from agent banks for their international payment, trade and treasury support requirements

Customers / Client Coverage

1. Build and maintain effective relationships with correspondent banks/NBFIs that enhances service delivery for Treasury
2. Develop and maintain strong stakeholder management with key stakeholders both internally and externally
3. Involved in negotiation with correspondent banks on matters with regards to services fees and pricing, as well as seek solutions to finalize new/potential business transactions.
4. Develop and maintain strong stakeholder management with key stakeholders both internally and externally

Responsibilities

· To support in upgrading and implementation of New Enterprise Resource Planning System and support SME for Manufacturing Process to achieve defined First Pass Yield, Productivity and Target Throughput

· Learn the existing system functions/features and Gather feedbacks from stakeholders.

· Work out the discussions with both internal and external parties and map out the requirements details.

· Work with cross-functional teams to understand and ensure the systems integration works smoothly.

· Perform Verification & Testing before implementation and ensure the new system meets business requirements and goals.

· Identify and document the change requests accordingly to fulfil the business needs.

· Provide ongoing supports before the system go live.

· Document out the new procedures and train to the respective parties on update-to-date process flows.

· Setting and managing expectations throughout the full project lifecycle.

· Responsible and track to ensure that project requirements are delivered as per timeline.

Requirements

· Degree or Diploma with relevant experience

· Experience in semiconductor manufacturing industry and system management are advantageous

· A team player with initiative and good interpersonal skills

• Effective verbal & written communication skills, a positive attitude, an open mindset and a team-oriented individual.

· Strong attention to detail while producing accurate and high quality work.

· Self-driven with ability to multi-task and willing to learn and grow in a fast-paced environment.

About the role

Reporting to Vice President, Air, this internship role will have the opportunity to work with the different entities on exciting projects as well as to analyse various reports to provide information to our Regional Air Freight team for strategic business decisions. This 6-month full-time internship commences Dec 2024/Jan 2025.

What you will be doing

• Prepare monthly reports relating to air freight activities
• Detect irregular data from the reports and analyse the root cause
• Perform ad-hoc analysis as per requested by stakeholders
• Follow up with entities on the issues and/or comments of working reports
• Be involved in Middle Office Air Dashboard Enhancement Project
• Work with OMC on various projects on data management
• Maintain the BSA contract library
• Support RFQ activity to carriers for 2025 capacity

The successful applicant

Essential

• Polytechnic or university undergraduate or graduate in Business Management, Data Analytics, Data Science or related fields
• Meticulous, analytical, and can work independently
• Good interpersonal and communication skills
• Proficiency in MS Office (Excel, PowerPoint, Word)
• Good command of written and spoken English
• Knowledge in PowerBI and/or Tableau

Desirable

• Keen to learn, fast learner
• Systematic, organized and able to multi-task
• Able to work under pressure in a dynamic, fast-paced environment to meet tight deadlines
• Team player with positive attitude

1.    To perform Data Analysis and Reporting
a.    Analyse and generate reports of Asia Pacific data on Customer Backlog (CBL) 
b.    Work with Sales Logistics Customer Interface Team to ensure data quality and track the progress of CBL.
c.    Perform data validation, identify the root cause and resolves issues to improve the order fulfilment rate and overall impact on customer service level. 
d.    Write complex SQL queries to extract, transform, and aggregate data from large databases efficiently. 
•    Utilize Common Table Expressions (CTEs) to create temporary result sets and simplify query readability. 
•    Leverage Window functions to perform advanced analytical operations, such as ranking, partitioning, and aggregations, within SQL queries.
•    Optimize SQL queries for performance by using appropriate indexing strategies and query execution plans.
•    Employ various JOIN operations (INNER JOIN, LEFT JOIN, FULL OUTER JOIN) to merge data from multiple database tables efficiently.
•    Create subqueries and correlated subqueries when necessary to retrieve specific subsets of data.
•    Implement conditional logic and CASE statements within SQL queries to handle complex data transformations.

e.    Continuously optimize SQL queries for performance, scalability, and maintainability. 
f.    Monitor and tune database performance to ensure efficient data retrieval.

2.    To build and enhance scripts / dashboards to support Process Automation
a.    Build and enhance Power BI dashboards with existing databases (SQL database, etc.) on different Order To Cash (O2C) topics.
b.    Maintain and improve current Power BI dashboards, including enhancing SQL scripts in databases and DAX measures in Power BI.
c.    Provide technical support to resolve data-related issues and troubleshoot problems in dashboards, and reports.
d.    Develop Python scripts to streamline and automate manual data transformation processes. 
e.    Identify repetitive data preparation tasks and create reusable Python scripts to perform data cleansing, formatting, and aggregation. 
f.    Continuously optimize and enhance Python scripts for performance, scalability, and efficiency.

3.    Cross-Functional Collaboration
a.    Collaborate and align with central departments / stakeholders to support in achieving sales targets.
b.    Manage multiple projects simultaneously, ensuring timely delivery of data analysis and reporting solutions. 
c.    Collaborate with project stakeholders to define project scope, objectives, and deliverables.

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

We are seeking a highly motivated and skilled Senior Data Scientist to join our dynamic team at Funding Societies. You will have the opportunity to work with a diverse team of experts in a collaborative and innovative environment. In this role, you will be responsible for analyzing complex datasets, developing predictive models, and providing insights that drive business decisions.

What you will do:

Model Development and Deployment:

• Design, build, and deploy machine learning models for credit scoring, risk assessment, fraud detection, and customer segmentation.
• Calibrate model parameters and optimise existing business logic and parameters
• Ensure models are robust, interpretable, and provide actionable insights.

Data Analysis and Insights:

• Conduct thorough data analysis to identify trends, patterns, and opportunities to enhance existing scorecards and processes.
• Develop and maintain dashboards and reports to track model key performance metrics and provide actionable insights to stakeholders.

Model Infrastructure and MLOps:

• Develop and maintain model infrastructure to support the lifecycle of machine learning models from development to production.
• Automate workflows for model training, validation, deployment, testing and monitoring to ensure efficiency and reliability.

Mentorship and Leadership:

• Mentor and provide guidance to junior data scientists and analysts in the team.
• Lead data science projects from inception to completion, ensuring timely delivery and alignment with business goals.

What we are looking for:

• 5+ years of experience in data science, preferably within the fintech or financial services industry.
• Proven experience in developing and deploying machine learning models in a production environment.
• Strong background in statistical analysis and machine learning.
• Expert in credit modelling and risk management would be an added advantage

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

Ready to play ?

We are the champs in crafting and slinging sporting goods, apparel, and equipment. Whether you're smashing goals or conquering the great outdoors, Decathlon's got your back – because winning is our favorite sport!

Job Summary:

The Data Analyst will be responsible for analyzing and interpreting data related to the performance and efficiency of the airport's BHS. The role involves working closely with operations, maintenance and IT teams to ensure that data-driven insights are used to optimize system performance, enhance baggage processing times, and improve overall passenger experience.

Key Responsibilities:

• Collect, process, and analyze data generated by the Baggage Handling System or the Material handling System.
• Monitor system performance metrics and identify trends, anomalies, and areas for improvement.
• Develop and maintain dashboards and reports to provide real-time insights into system operations.
• Collaborate with cross-functional teams to implement data-driven solutions for optimizing baggage flow and reducing processing times.
• Conduct root cause analysis of system failures or inefficiencies and provide recommendations for corrective actions.
• Support the IT and operations teams in integrating new technologies or upgrades into the BHS.
• Ensure data accuracy, integrity, and consistency across all reporting and analysis activities.
• Participate in regular performance reviews and provide insights to management for decision-making.
• Stay updated with industry trends and best practices related to airport operations and baggage handling systems.

• Entry Level
• Degree holder majoring in Electrical Power Engineering
• Salary $3,300 + $280 Fixed Allowance + AWS + VB
• Location: Jurong Island (company transport provided)

The Role: As a Maintenance Engineer (Electrical), you will play a critical role in maintaining our state-of-the-art manufacturing plants. Working closely with the Maintenance Manager, you will ensure the continuous, safe, and efficient operation of plant facilities.

Key Responsibilities:

• Oversee maintenance and instrumentation activities for manufacturing plant facilities, ensuring operations run safely and smoothly.
• Coordinate and execute major field maintenance tasks, prioritizing worker safety and facility integrity.
• Collaborate with internal and external stakeholders to ensure maintenance activities are completed on schedule, minimizing disruption to plant operations.
• Conduct instrumentation application studies and modify plant facilities in line with technical specifications and business requirements.
• Organize and conduct training sessions for staff and contractors to enhance skills and competency levels.
• Implement and manage systems in compliance with ISO 9001, ISO 14001, and SS506 standards.

Qualifications:

• Bachelor’s Degree majoring in Electrical Power Engineering with good grades
• Capable in power calculation
• Basic knowledge of programmable logic controllers (PLC) and human-machine interfaces (HMI) is an advantage.

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

What we’re all about.

Do you ever have the urge to do things better than the last time? We do. And it’s this urge that drives us every day. Our environment of discovery and innovation means we’re able to create deep and valuable relationships with our clients to create real change for them and their industries. It’s what got us here – and it’s what will make our future. At Quantexa, you’ll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all.

We're heading in one direction, the future. We’d love you to join us. 

The opportunity:  

To use your expertise in data platforms to drive the execution of the Data Management strategy in the APAC region and to be a global owner of a key solution, driving new product features. 

You will be working in the Data Management and Customer Intelligence team within the Product Office, influencing a diverse set of stakeholders across Quantexa, our partners and clients to understand requirements, shape the direction and positioning of the solution, maximise market opportunities and act as a thought leader in the industry. Your coverage will be cross industry with an initial focus on the Banking, Insurance, Telco, Government and Healthcare sectors. 

You will be helping shape our Data Fabric and AI capabilities a critical part of Quantexa’s company strategy as we scale our business across use cases, sectors and geographies. 

In regards to role location, this position is also open in our Sydney/Melbourne office.

You will drive the Data Management solution within the APAC region and a key influence globally, as part of the Product Organization. 

• Regional lead for data management solutions – acting as a go-to person for the sales and alliances team – to influence clients and help drive commercial opportunities. 

• Global ownership of the product solution in one of the following areas: data analytics, data warehousing, data quality management, master data management or data driven applications. 

• Be the ‘voice of the market’ and translate your insights into innovation projects and product roadmap, by supporting functional requirements and assisting with solution design. 

• Be a leader in the market, by building personal and Solution market eminence, publish thought leadership, engage industry analysts and be an active member of the external community including through social networking and events. 

• Enable the Sales, Solution Engineering and Alliances teams by creating relevant materials, engagement and education sessions. 

What you’ll bring:

• Strong experience with enterprise data management technologies and how to apply them, with a strong solution architecture and design background. 

• In depth experience in at least one of the following industries: Banking, Insurance, Telco or Government. 

• Ability to get traction for the adoption of data management solutions in meetings with prospects, including with technical roles (such as senior architects, head of data management, head of analytics) and c-suite. 

• A strong and persuasive communicator, able to bring-to-life technical concepts for business stakeholders and to jump into detail for the most challenging of technical stakeholders. 

• A presence in the market – comfortable with presenting and hosting events (conferences, webinars, roundtables). 

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

• Competitive salary

• Company bonus

• Annual leave, plus national holidays + your birthday off!

• Private Healthcare with Prudential, plus life insurance and critical illness

• Regularly bench-marked salary rates

• Well-being days

• Volunteer Day offWork from Home Equipment

• Free Calm App Subscription #1 app for meditation, relaxation and sleep 

As a Senior Java Developer, you will be primarily working within the back-end development team and will gain exposure to the full software stack. You will use modern development tools and concepts to deliver high quality, best practice software solutions. You will have the opportunity to take the lead on projects, mentor and support junior members of the team, and have a key input in the development of the team moving forwards.

What you will be doing: 

• Design, build and enhance bespoke Java solutions for our clients
• Deliver high quality, best practice software solutions
• Perform architectural reviews of Java Systems
• Suggest and implement new ideas and innovations
• Produce clean and efficient solutions based on specifications
• Recommend, implement and knowledge share on improvements to client systems
• Use a range of architectures, tools and frameworks
• Be exposed to a range of technologies and be capable of selecting the most appropriate solution to a given client problem
• Work as part of a dynamic team
• Learn and gain certifications in new technologies
• Enhance and grow your Java knowledge among subject matter experts in our learning and development ecosystem
• Grow our learning and development ecosystem through research and development or training content
• Provide technical and/or people leadership to the Performance Software Engineering Stream with opportunities for management training
• Liaise with clients and our business development team to build out teams and/or solutions

Job Description

• Support on Customer Relationship Management (CRM) tools
• Assist the ASEAN sales team with ongoing analytical, administrative and operational tasks
• Manage price records, sales reports, sales dashboards and sales process to make data access extraction more efficient
• Involve in various projects with different stakeholders to support and drive sales
• Support Preferred partner program and channel strategies
• Market research when required
• Assist in preparation of presentation slides and other ad-hoc sales activities
• Assist in other ad-hoc analytics and marketing project and tasks

• Entry-level with good grades
• Preferably major in Accounting
• Salary $2,500 - $3,500
• Diploma with 2 years experience; Degree entry level
• Location: Duxton Hill

Role Summary

As an Accounts Assistant, you will provide financial and administrative support to ensure efficient and accurate operations. You will be responsible for managing accounts, ensuring compliance with internal policies and external regulations, and assisting with various financial tasks.

Key Responsibilities

• Charter Hire Remittances: Ensure timely and accurate remittance of charter hire payments.
• Billing: Timely billing of expenses to owners and charter hire to sub-charterers.
• Account Analysis: Perform monthly analysis of owners' accounts and recovery accounts.
• Account Management: Accurately account for all liabilities, expenses, and payments in owners' accounts.
• Dispute Resolution: Resolve disputes with owners in collaboration with line managers, accounts teams, and ship brokers.
• Payment Follow-Up: Monitor and follow up on payments to/from owners and sub-charterers.
• Account Finalization: Ensure timely finalization of owners' accounts.
• Compliance: Ensure adherence to internal processes, procedures, instructions, and deadlines.
• Audit Support: Prepare accounts schedules for audits and address audit concerns promptly.
• Ad-Hoc Projects: Assist with other projects as required.

Requirements

Education & Knowledge

• ACCA/Accounting Degree or diploma holder.
• Fresh graduates with an ACCA/Accounting degree are encouraged to apply.
• Diploma holders should have 2-3 years of relevant experience.

Skills & Characteristics

• Strong communication and interpersonal skills.
• Excellent problem-solving abilities.
• Analytical mindset with attention to detail.
• Proficiency in Microsoft Excel.
• Ability to meet tight deadlines and work under pressure.

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

Your Career

As a SASE SE Specialist for network security transformation, you provide technical expertise and guidance in customers' network security transformation and zero trust journey.  You will be key in defining technical solutions that secure a customer’s key business imperatives. 

As the CASB/DLP expert within our SASE team you will be responsible for expanding our CASB/DLP footprint in JAPAC. You evangelize our industry leadership in on-prem, cloud, and security services that establish Palo Alto Networks as a customer’s cybersecurity partner.

Your Impact

• Collaborate with sales teams to recommend and develop customer solutions on network transformation with SSE & CASB/DLP.

• Present to customers as our expert at all levels in the customer hierarchy, from practitioner to senior leadership.

• Lead and support customer demonstrations that showcase our unique value proposition.

• Responsible for prospective customers and partners' Technical Validation projects based on best practices to ensure technical win in assigned opportunities.

• Architect CASB/DLP & SSE solutions that will help our customers strengthen to transform their network and simplify their security posture

• Document high-level design and key use cases to ensure proper implementation and value realization of Palo Alto Networks solutions

• Lead conversations about industry trends and emerging changes to the network & security landscape.

• Responsible for discussing and highlighting product alignment with customer requirements and differentiation

• As the main technical point of contact for CASB/DLP & SSE, you will assist and collaborate to respond effectively to RFIs/RFPs.

• Position Palo Alto Networks or Partner delivered services as appropriate to ensure proper implementation and value realization of Palo Alto Networks solutions

• Discuss, with credibility, competitive offers in the marketplace and position ours as the best alternative

About Sleek

Sleek is on a mission to revolutionize how entrepreneurs operate their business. We want to give small business owners peace of mind and the power of online solutions to allow them to focus on what they do best - growing their business. As we work for our thousands of customers, we gather millions of data points about their business, and in turn we transform those into useful, actionable insights and recommendations to accelerate their growth through smart algorithms. 

We are a team of 500  builders from 18 countries, with offices in Singapore, Philippines, India, Vietnam, Hong Kong, Australia and the UK committed to delivering a delightful experience to our clients!

Attributes

• Make data meaningful to stakeholders where they can derive better insights towards achieving a business goal.
• Be a critic to the product team to help them focus on the right metrics at the same time provide the requisite direction through data.
• Autonomy, drive the direction of data usage, sources  to achieve business goals
• Business acumen to co-relate data to solving real life problems.

Data Analysis & Reporting:

• Collect, process, and analyze large datasets to identify trends, patterns, and insights.
• Develop and maintain dashboards, reports, and visualizations to communicate findings effectively.
• Use statistical tools and techniques to interpret data and analyze results.
• Prepare and present detailed analytical reports for stakeholders at all levels of the organization.
• Collaborate with the product team to understand their analytical needs and deliver actionable insights.

Data Management:

• Ensure the accuracy, completeness, and consistency of data across different sources.
• Work with IT and data engineering teams to optimize data pipelines and workflows.

Project Collaboration:

• Partner with product managers, developers, and other stakeholders to integrate data analysis into product development and business strategies.

• Bachelor's degree in Data Science, Statistics, Economics, Finance, Computer Science, or a related field.
• Minimum of 3 years of experience in a data/business analyst role, preferably within the fintech industry.
• Strong proficiency in SQL and experience with data manipulation and querying.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Proficiency in statistical analysis software (e.g., R, Python) and Excel.
• Strong analytical and problem-solving skills with the ability to translate data into actionable insights..
• Excellent communication skills, both written and verbal, with the ability to present complex information clearly to non-technical stakeholders.

At Sleek, we work in a fast-paced start-up environment. We have a strong culture built around our five core values: Simplicity, Loyalty, Excellence, Entrepreneurship, Kindness.  As a deliberately multicultural team, our team comprises more than 18 nationalities and spoken languages.

We consider the company’s success to be a result of committed individual and team efforts, and are looking to onboard talented and creative people who want to make a difference. Corporate social responsibility is a passion, and as an equal opportunity employer we aim at making the world a better place.  We are the 1st international incorporation and accounting brand to achieve B Corp certification status, meeting the highest standards of social and environmental impact performance. With a strong commitment to also make Sleek a great place to work, we offer a flexible working environment where we empower every team member to be the best they can be - regardless of race, ethnicity, religion, gender, age or identity.

If you think you would be a good fit for our mission, we look forward to hearing from you!

Responsibilities:

• To convert business problems into an analytics solution using their consulting skills, business knowledge to analyze client business issues, formulate hypotheses and test conclusions to determine appropriate solutions methods. A solid foundation typically in statistics, modeling, operations research, computer science and applications, and math.
• Strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Will not just address business problems, but pick the right problems that have the most value to the organization.
• Effective at deploying an analytics solution, thereby realizing business value. To explore and examine data from multiple disparate sources and to extract, transform, and combine all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem.
• Builds statistical models, determines what it means, then recommends ways to apply the data. To be inquisitive: exploring, asking questions, doing "what if" analysis, questioning existing assumptions and processes.
• Armed with data, modeling expertise, and analytical results, communicate informed conclusions and recommendations across an organization's leadership structure. Focuses on Individual/Team Objectives and Developing Professional Effectiveness.

Requirements:

• Strong AI/Gen AI development experience required
• Knowledge and experience on LLM, Langchain/Langgraph/Langsmith, Agentic Workflow, RAG with Text embedding/vector db, and related Gen AI technologies preferred
• Python experience is a must
• Good English skill is a must
• K8S experience is a must
• Microservices engineering experience is a must
• Strong and creative problem solving skills required
• Java experience is a big plus

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Internal Code: A24040

What will you do?

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stacks.

What are we looking for?

• From 3 to 5 years of experience working as a data engineer or related role.
• Hands-on experience in AWS Glue, AWS RedShift, Tableau, QlikSense
• Proficiency in programming languages such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Bachelor’s in Computer Science, Engineering, or a related field.

What do we offer?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Internal Code: A24040

What will you do?

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stacks.

What are we looking for?

• From 3 to 5 years of experience working as a data engineer or related role.
• Hands-on experience in AWS Glue, AWS RedShift, Tableau, QlikSense
• Proficiency in programming languages such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Bachelor’s in Computer Science, Engineering, or a related field.

What do we offer?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

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• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions
• Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch
• Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards
• Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

1. 5+ Years as Data Engineer
2. 5 Years experience in Spark, Scala, Elastic Search
3. Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards
4. Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components
5. Stay updated with emerging trends and advancements in the big data technologies space to ensure continuous improvement and innovation
6. Mandatory Skills : Spark, Scala & Elastic Search

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400+OT+allowances>$3K

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

About our Company

We are a global team operating a health and wellness brand serving over 2 million customers worldwide. We have a team of ~40 full-time employees globally, headquartered in Singapore. Our brand generates more than $100M per year in revenue and operates profitably with close to 100,000 monthly subscribers. We continuously strive to bring the best functional products to improve women's health, with a focus on making our products clinically-influenced yet approachable to everyday consumers.

Overview of the Role

As we’re building the infrastructure to enable and support the next leg of growth ($500M to $1B), we’re looking for a Senior Data Analyst to lead efforts in managing and analyzing marketing, financial, and operations data to enable and support business growth opportunities. You will report to the Head of Growth and work across functional areas to translate complex and sometimes unstructured datasets into actionable insights to identify new growth opportunities or optimize efforts in existing projects. This role focuses on growing or optimizing the following metrics:

• Average order value (AOV)
• Conversion rate (CVR)
• Lifetime value (LTV), which includes interim values like 3, 6, and 12 months
• Payback periods
• Subscription churn and recovery
• …and other growth metrics, if any

The core responsibilities for this role include:

• Developing forward-looking data analysis capabilities for a women’s health brand with long-term growth ambitions
• Building and managing a team of data analyst(s) and data assistant

Part 1: Develop Right-Sized Data Analysis Infrastructure

• Audit data analytics needs for the organization with growth and marketing needs in mind
• Recommend and implement right-sized data management solutions (including but not limited to data warehouse, visualization, programming language, etc.) to meet present and mid-term needs (e.g. BigQuery, Fivetran, Tableau, PowerBI)
• Establish and refine data models within the database to ensure efficient data storage and retrieval.
• Create and optimize SQL queries, views, and stored procedures. 
• Contribute to solutions for real-time data retrieval from various sources, including API integrations and new platform solutions selection.

Part 2: Enable Marketing Insights

• Marketing is our growth engine, so enabling marketing-related insights is a core priority for the data team before all else.
• Increase access to internal data sources including but not limited to post-purchase KnoCommerce surveys, customer surveys, clinical trial results, business performance data across Shopify, Amazon.com, Walmart.com, Meta, Google, Helium10, Hyros, etc. using data management and visualization tools
• Increase access to external and relevant data sources including but not limited to macro data sources like Amazon.com, iHerb, industry research studies, CPI, DTCCI, etc. and micro data sources like Meta Ads library, Google Ads transparency center, ad spy tools like Atria and Foreplay, etc.
• Using experienced knowledge of acquisition and retention marketing KPIs, synthesize data across multiple sources to develop insights and to tell a story with data. 
• Develop actionable optimization recommendations.
• Use advanced segmentation methodologies to group customers by cohort, lifetime value, products purchased, etc. Build models to predict lifetime value and score customers on dimensions such as likelihood to buy.
• Analyze Customer Retention and Behavior. Examples:
• Analyze Subscription Retention Rates: Assess retention rates and compare group performance.
• Perform Cohort Analysis: Conduct analysis to understand customer behavior on first and second purchases, and channel-based behavior.
• Incrementality Tests for Campaigns: Video lifts and whitelisted campaigns on customer behavior.
• Analyze Brand and Promotions Impact. Examples:
• Measure and Monitor Brand Changes: Track and analyze the impact of brand changes.
• Analyze Impact of Free Shipping Offers: Assess the impact of offering free shipping to specific regions.
• Conduct Promotional Analysis: Evaluate the effectiveness of various promotions and marketing campaigns.

What working with us looks like

First few weeks

• Company onboarding: Our team member will introduce you to the company and share more about our business and background with you 
• Team onboarding: Our team member(s) will introduce you to the marketing team and operations, and guide you through your responsibilities. You will likely take 2-3 weeks to familiarize yourself with your routine and tasks. A buddy will be assigned to you so you can reach out anytime you need help
• Career review:
• Informal: After 4-6 weeks
• Formal, 1st: After 3 months
• Formal, 2nd: After 6 months

Preferred Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Marketing, or another research-related field.
• 5+ years of experience as a Data Analyst or similar role, demonstrating expertise in AI-driven analytics and marketing insights.
• Strong understanding of marketing concepts, particularly AOV, LTV, conversion rates, and customer acquisition costs, coupled with expertise in leveraging AI for marketing intelligence.
• Excellent communication and presentation skills, especially in conveying insights to non-technical stakeholders.
• Experience with Git and code management practices.
• Proven ability to work independently in a fast-paced environment
• Experience leading or managing teams preferred

Soft skills

• Meticulous: Pays close attention to details
• Process-oriented: Thinks through potential scenarios in detail to verify and confirm the right setup
• Numbers-driven: Familiarity and comfort working with numbers
• Love for Problem-solving: Has a positive attitude when problems surface, and focuses on finding a solution
• Intellectual curiosity: Openness and curiosity in learning new things, including knowledge and tools

Technical skills

• CRM: Shopify, Hubspot, Salesforce, or something similar
• Marketing API: Familiarity with Supermetrics or something similar
• Marketing attribution tools: Familiarity with Google Analytics 4, Hyros, TripleWhale, Northbeam, or something similar
• Data visualization tool: Familiarity with Tableau, Google Data Studio, PowerBI, or something similar
• Data science language: Familiarity with Python, R or something similar

Work Arrangements

• For Singapore-based team members, working hours are fixed, from 10am to 7pm SGT from Mon - Fri
• For remote team members, your working hours will be discussed prior to employment
• Lunch is one hour and flexible (you can decide what time to take your one hour off)
• Once-a-week team meetings (time TBD), with shorter check-in calls throughout the week when necessary

• Competitive salary and performance-based bonuses.
• Opportunities for professional development and advancement.
• Collaborative and dynamic work environment.

Royal Ocean Marine is seeking a detail-oriented and efficient Data Entry professional to join our client team. As a Data Entry, you will be responsible for inputting and updating various types of data into our database system accurately and efficiently.

Your responsibilities will include:

• Entering data from various sources into the database system
• Verifying the accuracy and completeness of data
• Sorting and organizing documents for data entry
• Performing regular data backups to ensure data integrity
• Generating reports and summaries based on the entered data
• Assisting with data analysis and interpretation as needed
• Maintaining data confidentiality and security
• No experience required
• Open to mature workers

We are looking for someone who has excellent attention to detail, strong organizational skills, and the ability to work efficiently in a fast-paced environment.

• Previous experience in data entry or a similar role is preferred
• Proficient in Microsoft Office Suite, especially Excel
• Excellent attention to detail and accuracy
• Strong organizational and time management skills
• Ability to work independently and meet deadlines
• Ability to maintain confidentiality of sensitive information
• Good communication and interpersonal skills

Chan Chee Meng

EA 07C3069

R1110620

What you’ll be doing:

• Working with business users to define requirements for new application functionality
• Developing, testing, supporting and maintaining all code for client applications
• Assisting the Project Manager with all aspects of project delivery
• Working as part of a team to deliver projects on time and on budget
• Analysing data and creating reports for clients, incorporating all findings
• Mentorship and training of junior developers

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Bigdata Data Engineer

• 10+ years of experience required in Big Data such as Hadoop
• Working Experience in ECS(Open Shift), Shell scripting
• Experience in Financial sector is an advantage
• Resource should be able to work with multiple stakeholders/teams
• Should be able to understand the application data model and able to explain the functional requirements to stakeholders
• Need to take the ownership for the tasks assigned and deliver them successfully
• Quick understanding the new concepts and application details
• Strong communication and presentation skills

Responsibilities:

• Structures the technical work of a portion of a project or a small project
• Provides technical leadership to team members
• Develops or assists in the development of technical strategy
• Creates or assists in the creation of project plans
• Assists in the design of the systems and application programs
• Manages, monitors and communicates the execution of a project plan, including quality and completion of own work while simultaneously monitoring the work of team members