Total 343 data entry job vacancies

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

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

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Job Summary

· Role: Combine data analysis and marketing leadership to build the foundational datasets and insights that drive sales analysis and market development using Microsoft, SAP, and software.

· Objective: Build and maintain the datasets and reports that define sales direction; turn those data-driven insights into targeted marketing and sales actions and guide and execute those initiatives.

· Marketing scope: Lead integrated B2B marketing activities — promotional planning, lead generation, and sales enablement — and guide the marketing team toward measurable growth.

Key Requirements

Skills:

· Proficiency in Excel and Power BI or Tableau; experience building reports and dashboards.

· Knowledge of Power Automate is a plus.

Experience & qualifications

· Minimum 4-7 years of relevant experience for Senior Executive level.

· Proven, data-driven marketing, campaign executive, and lead-generation experience.

· Demonstrated leadership potential: able to set direction, guide sales priorities and actions, and drive execution.

· Minimum Bachelor’s degree. Degree in Marketing, Business and Engineering will be prioritized.

Personal qualities

· Proactive in proposing ideas for sales performance improvement

· Curious to investigate the reasons behind any outcomes

· Purpose-driven mindset, always questioning the 'why' behind actions

· High hospitality standards, akin to a first-class hotel, understanding and anticipating others' needs

· Ready to take immediate action

· Meticulous and likes to double-check completed assignments, committed to thoroughness in achieving decided objectives

What We Offer

· Culture: Empowerment within the scope of data performance, flat hierarchy, respect for frontliners' opinions, teamwork in problem-solving

· Environment: A hardworking and talented team, a company where diligent and steady performers thrive, rational and grounded in reason

The Opportunity

A global owner-operator of mission-critical infrastructure is seeking a Regional Commissioning Director to lead commissioning strategy and execution across its Asia Pacific portfolio.

This role is designed for a senior commissioning leader ready to transition from project-level delivery into regional ownership, setting standards, improving repeatability, and driving long-term operational efficiency across multiple large-scale developments.

You will work closely with development, engineering, delivery, and operations teams to ensure consistent, high-quality commissioning outcomes across diverse regulatory and technical environments.

Key Responsibilities

• Lead regional commissioning strategy for large, mission-critical facilities across APAC

• Manage internal commissioning teams and external consultants across multiple countries

• Establish and govern commissioning standards, methodologies, and best practices

• Oversee commissioning planning, sequencing, and execution for complex, multi-phase developments

• Drive continuous improvement initiatives to enhance delivery efficiency and reduce risk

• Support procurement activities related to commissioning services and critical systems

• Review commissioning scopes, schedules, and budgets to ensure alignment with project objectives

• Conduct design and constructability reviews in collaboration with engineering and delivery teams

• Ensure effective coordination between commissioning, construction, and operations for smooth handover

• Act as a senior stakeholder interface for internal teams, delivery partners, and customers

• Promote a strong safety, quality, and compliance culture across all commissioning activities

Candidate Profile

• Degree in Mechanical, Electrical, or Building Services Engineering (or equivalent experience)

• 7+ years of experience in mission-critical commissioning, complex infrastructure delivery, or facility engineering

• Prior experience leading commissioning activities across multiple projects or regions

• Strong understanding of MEP systems and integrated systems testing in critical environments

• Experience working across diverse regulatory and cultural environments in Asia Pacific

• Familiarity with structured commissioning management tools and digital workflows

• Proven ability to lead teams, manage consultants, and influence senior stakeholders

• Clear, confident communicator with strong commercial and delivery acumen
  

  Why Join

  • Regional leadership role with genuine influence over how commissioning is delivered at scale

  • Exposure to large, complex infrastructure developments across high-growth APAC markets

  • Opportunity to shape standards and frameworks that will be reused across future projects

  • Long-term career growth within a well-capitalised, expanding platform

• How to Apply Click Apply now or send your resume directly to Talent@BuildBridgePartners.com
  

  
  
  

  
  
  

  EA Name: BuildBridge Partners Pte Ltd

  EA License No: 25C2918

  EA Reg No: R1551092 Khoo Yan Jie

The Rail Digitalisation Division is a cross-functional andmulti-disciplinary team set up to drive and deliver LTA’s Railway CommonData Platform (CDP), which includes data analytics and artificialintelligence capabilities to support rail performance andoperational/maintenance enhancements. You will be responsible for building the"intelligence layer" of the CDP, developing systems that not onlydetect anomalies in complex railway time-series data but also reason about themto provide clear, actionable outcomes for maintenance and operations.

We are seeking a Senior Data Scientist who excels at convertinguse cases into a data problem and analyzing data to generate value to supportdecision making. You should have a proven track record of deliveringend-to-end machine learning solutions—from data discovery and featureengineering to model deployment and monitoring. The ideal candidate balancesdeep technical expertise with a value-driven mindset, ensuring that analyticaloutputs directly translate to better cost efficiency and improved commuter experience.A degree in Data Science, Statistics, Computer Science, Engineering, or arelated quantitative field is required.

Technical Skills

• Modeling & Time-Series Analysis: Expert proficiency in Python and SQL. Deep experience in time-series forecasting and anomaly detection (e.g., Z-score, growth rate analysis, and statistical thresholds).
• Data Engineering Synergy: Competence with modern data stacks (e.g., Snowflake, Databricks) and real-time data ingestion via APIs to build scalable, production-ready pipelines.
• MLOps & Automation: Experience in managing the full ML lifecycle, focusing on "operational AI" that triggers automated workflows or maintenance alerts.
• Visualization & UI Collaboration: Ability to translate complex model outputs into requirements for UI/UX designers to create intuitive, data-rich enterprise dashboards.
• Decision Intelligence: Proven ability to build autonomous systems that go beyond simple detection, including experience with AI agents that combine statistical triggers with LLM-based reasoning to automatically categorise, prioritise, and/or escalate operational issues.

Key Attributes

• Analytical Problem Solver: Strong ability to take vague operational "pain points" and structure them into rigorous analytical frameworks that drive ROI.
• Stakeholder Management: Exceptional communication skills to explain algorithmic logic and "uncertainty" to non-technical stakeholders.
• Proactive Learner: A self-starter who stays updated on the latest in Agentic AI and can independently drive design initiatives end-to-end.
• Collaborative: High comfort level working in a "squad" format alongside UI/UX designers, Product Managers, and Railway Engineers.

Requirements

• Background knowledge in Computer Engineering, Data Science, Statistics, Computer Science, Engineering, Business and Commerce or a related quantitative field is required.
• At least 5 years of relevant experience in data science, preferably with data-heavy industrial or enterprise products.
• Experience in transportation, IoT, or large-scale condition-monitoring systems with AI agents is advantageous.
• Successful candidates may be expected to undertake technical assessments or case study presentations as part of the interview process.

As part of the shortlisting process for the role,you may be required to complete a medical declaration and / or undergo furtherassessment.

Job Title: Data BAU Lead

Responsibilities:

We are looking for a seasoned BAU Lead - Data Engineering to lead our data operations and support function in a cloud-first environment. The ideal candidate will bring strong technical leadership, hands-on expertise in AWS and Snowflake, and proven experience in managing Business-As-Usual (BAU) data platforms, production support, and continuous improvement initiatives.

▪ Develop tools to improve data flows between internal/external systems and the data lake/warehouse. 

▪ Work with stakeholders to understand needs for data structure, availability, scalability, and accessibility. 

▪ Build robust and reproducible data ingest pipelines to collect, clean, harmonize, merge, and consolidate data sources. 

▪ Understanding existing data applications and infrastructure architecture 

▪ Build and support new data feeds for various Data Management layers and Data Lakes

▪ Evaluate business needs and requirements. 

▪ Support migration of existing data transformation jobs in Oracle, and MSSQL to Snowflake. 

▪ Lead the migration of the existing data transformation jobs in Oracle, Hive, Impala etc. into Spark, Python on Glue etc. 

▪ Able to document the processes and steps. 

▪ Develop and maintain datasets. 

▪ Improve data quality and efficiency.

▪ Lead Business requirements and deliver accordingly. 

▪ Collaborate with Data Scientists, Architect and Team on several Data Analytics projects.

▪ Collaborate with DevOps Engineer to improve system deployment and monitoring process. 

▪ Experience in critical production support and how the BAU functions is preferred.

Requirements Key Skills: 

▪ Lead a team of data engineers in managing day-to-day BAU operations, production support, incident management, and platform stability.

▪ Strong AWS knowledge in terms of designing new architecture and providing optimized solutions for existing ones. (S3, Glue, DMS, MWAA, AMS, IAM).

▪ In-depth knowledge with respect to Snowflake and its architecture.

▪ Prefer prior Experience in BAU environment.

▪ Good knowledge on Airflow and MWAA.

▪ Hands-on experience in SQL/Python/Pyspark.

▪ Expertise in optimizing techniques in cloud environments.

▪ Should have the vision on data strategy and able to deliver the same. 

▪ Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation. 

▪ Able to manage and lead a team of data professionals, providing guidance, 

mentoring and foster a collaborative and innovative team culture focused on continuous improvement.

▪ To evaluate and recommend data-related technologies, tools, and platforms. 

▪ Collaborate with IT teams to ensure seamless integration of data solutions.

▪ Should have experience in Implementing and enforcing data security 

protocols and ensure compliance with relevant regulations.

Required Qualifications: 

▪ At least 8+ years of Data Engineer Experience

▪ At least 5+ years of recent hands-on professional experience (actively coding) working as a Lead handling support & production issue.

▪ 2+ experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.

▪ At least 3+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions.

▪ Professional experience working in an agile, dynamic and customer-facing environment is required.

▪ Understanding of distributed systems and cloud technologies (AWS) is highly preferred. 

▪ Understanding of data streaming and scalable data processing is preferred to have. 

▪ Strong knowledge in scripting languages like SQL ,Python, UNIX shell and Spark is required. 

▪ Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.

▪ Technical expertise with data models, data mining and segmentation techniques.

▪ Experience with full SDLC lifecycle and Lean or Agile development methodologies.

▪ Knowledge of CI/CD and GIT Deployments.

▪ Ability to work in team in diverse/ multiple stakeholder environment. 

▪ Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams

If you are keen to explore the above role, please send across your updated resume to Mani.Sathis@helius-tech.com and we can discuss to proceed further.

EA Personnel Registration Number: R1112410

Singapore Employment Agency Licence No: 11C3373

Role: Data Engineer - Databricks & Python

Relevant Experience Required: 4 Years 

Job Description: 

Data Transformation

• Query, clean, and transform datasets using SQL and Python on the Databricks platform.
• Ensure data quality and consistency across systems in accordance with government Instruction Manual (IM8) standards.

Analytics & Dashboard Development

• Build, enhance, and maintain dashboards for data monitoring, performance reporting, and user behaviour analytics.
• Partner with business stakeholders to understand data requirements and translate them into impactful visual insights.

Documentation & Knowledge Management

• Develop clear and comprehensive user guides for dashboards, charts, and data workflows in Databricks
• Maintain technical documentation (e.g., on Confluence) for analytics processes, standards, and best practices.

Additional Opportunities

• Explore and prototype automation solutions to streamline repetitive or manual workflows.
• Develop project management competencies, including:
• Creating user stories and acceptance criteria
• Managing JIRA tickets and sprint tasks
• Writing and executing QA test cases

Competencies & Requirements

Required Skills

• Proficiency in SQL and Python for data processing and automation.
• Hands-on experience in dashboard tools such as Tableau, Power BI, or equivalent visualisation tools.
• Familiarity with Databricks or similar big data/analytics platforms.
• Ability to produce high-quality technical documentation.

Additional Skills Preferred

• Experience in system testing, SIT/UAT, or quality assurance processes.
• Knowledge of Spark for distributed data processing.
• Understanding of Git or other version control systems.

Soft Skills

• Strong analytical mindset and problem-solving abilities.
• Good communication skills, especially in explaining technical concepts to non-technical users.
• Ability to work independently as well as collaboratively in cross-functional teams.
• Attention to detail and commitment to delivering high-quality work.

• Up till $3,500 Basic + Bonus

• 5 days work week

• No experience welcomed
  

Our Client, a leading supplier of sensors, measuring systems, laser markers, microscopes, and machine vision systems worldwide, is inviting qualified candidates to fill the position as Data & Marketing Officer.

RESPONSIBILITIES:

• A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance

• Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Keyence’s own software

• Not just updating existing data, but using it to guide sales direction and actions

• In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives
  

REQUIREMENTS:

• Degree in Marketing, Business and Engineering

• At least 1 year of relevant experience

• No experience are welcomed to apply

• No data analysis experience is fine as long willing to learn

• Must possess proficiencies in Excel and PBI/Tableau.

• Power Automate will be a plus

Get to Know the Team

The Integrity team is dedicated to safeguarding our users on Grab. We are building a centralized, unified Risk and Compliance technology platform using Grab's proven risk and compliance tech, GrabDefence. We use our datasets and advanced AI capabilities to address critical challenges, from ensuring safety and preventing fraud to achieving regulatory compliance. We are involved in the entire data lifecycle, including analyzing user behavior, identifying financial crime anomalies, and developing detection and prevention modules across user onboarding and transaction journeys.

Get to Know the Role

Reporting to the Senior Analytics Manager in the Integrity team, you will be a key analytics partner in operationalizing the Unified Risk Platform that manages risk across the Grab Ecosystem. You will conduct deep-dive analysis on user behaviors, product funnels, and transaction patterns to identify potential risks and new fraud typologies on our partner platforms. Your data-driven insights will directly guide the design of risk detection strategies, the optimization of shared AI/Machine Learning models, and the implementation of crucial risk controls to safeguard a diverse user base from multiple types of fraud and financial crime.

This role is based onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• You will be the subject matter expert in using data to analyze fraud loss, business/product performance, and the effectiveness of risk controls across different Grab business verticals.
• You will lead the identification of new fraud and risk patterns, developing data-driven rules and strategies to address potential risks using advanced methods like Graph-Based Detection.
• You will conduct statistical analyses to ensure the accuracy and efficiency of detection systems, maintaining data and rule integrity.
• You will architect automated self-serve capabilities for stakeholders to monitor key risk metrics, attack patterns, and the efficiency of fraud/AML detection systems.
• You will collaborate with Grab business teams to support data extractions, audits, and compliance requirements, ensuring all necessary data is provided for assessments.
• You will conduct experiments to evaluate the effectiveness of risk controls and recommend improvements based on findings.

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

We are seeking a Senior Data Engineer to work directly with agencies, enabling them to reach their desired development delivery efficiency and system resiliency through optimized Continuous Integration/Continuous Deployment(CI/CD) and Site Reliability Engineering(SRE) practices.

Asa forward-deployed engineer, you’ll partner with agencies to solve complex challenges, gather insights, and drive continuous improvement in our product offerings. This role combines deep technical expertise with a commitment to customer enablement and feedback, ensuring that our Core Engineering Products evolve to address the real-world needs of our customers.

As a Senior Data Engineer, youwill be working on:

·      Translate data requirements from business users into technical specifications.

·      Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.

·      Build out data product as part of a data team:

·      Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

·      Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

·      Construct, test, and update useful and reusable data models based on data needs of end users.

·      Design and build secure mechanisms for end users and systems to access data in data warehouse.

·      Research, propose and develop new technologies and processes to improve agency data infrastructure.

·      Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.

·      Maintain data catalogue to document data assets, meta data and lineage.

·      Implement data quality checks and validation processes to ensure data accuracy and consistency.

·       Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

·      A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

·      Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

·      Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

·      Experience with Databricks.

·      Experience in designing, building, and maintaining batch and real-time data pipelines.

·      Experience with orchestration frameworks such as Airflow, Azure Data Factory.

·      Proficiency in working with Python, Shell Scripts, and SQL.

Preferred requirements:

·      Familiarity with building and using CI/CD pipelines.

·      Familiarity with DevOps tools such as Docker, Git, Terraform.

·      Experience with implementing technical processes to enforce data security, data quality, and data governance.

·      Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

·      Experience in Climate and Weather domains will be an advantage.

• MNC Company

• Basic $4000 - $4600 + AWS + Variable Bonus

• Excellent Welfare and Benefits + Career progression

• Working location: Kallang

• Working day: Monday to Friday

• Working hours: 9am to 6.15pm
  

Job Responsibilities:

• Role: Combine data analysis and marketing leadership to build the foundational datasets and insights that drive sales analysis and market development using Microsoft, SAP, and Keyence software.

• Objective: Build and maintain the datasets and reports that define sales direction; turn those data-driven insights into targeted marketing and sales actions and guide and execute those initiatives.

• Marketing scope: Lead integrated B2B marketing activities — promotional planning, lead generation, and sales enablement — and guide the marketing team toward measurable growth.

• Other ad hoc duties as assigned.

Job Requirements:

• Minimum Bachelor's Degree in Marketing, Business and Engineering or related field with minimum 3 years professional marketing experience (B2B preferred).

• Proficiency in Excel and Power BI or Tableau; experience building reports and dashboards.

• Knowledge of Power Automate is a plus.

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background

  
  

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

Our client, a global technology leader specializing in search, digital platforms, cloud computing, and data-driven innovation, is seeking a Financial Data Analyst/Product Analyst to support financial reporting and analytics through data extraction, SQL scripting, and reporting automation. This role will focus on generating and transforming large financial datasets, building SQL-based reporting solutions, and delivering actionable insights to support business and finance stakeholders.

This is a fixed term contract ending on the 14 Dec 2026 with possibilities for extension thereafter

Responsibilities

• Extract, validate, and analyze financial data from databases, data warehouses, and ERP systems using SQL.
• Write and maintain SQL scripts to support reporting, data analysis, and financial insights.
• Interpret financial and operational data to identify trends, risks, and business opportunities.
• Build and maintain dashboards and reports using BI tools such as Looker, Tableau, or Power BI.
• Support recurring financial reporting, ad-hoc analysis, and reporting automation initiatives.
• Partner with Finance and cross-functional teams to ensure data accuracy and deliver actionable insights.

Requirements

• Up to 6 years of experience in Financial Analysis, Product Analytics, FP&A Analytics, Financial Data Analytics, Business Intelligence, or related roles.
• Advanced SQL skills with the ability to independently write and optimize complex queries and scripts.
• Strong analytical skills with the ability to interpret data and translate findings into business recommendations.
• Strong financial domain knowledge with experience analyzing P&L, revenue, costs, budgets, or financial performance metrics.
• Proven experience extracting and working with large datasets from platforms such as BigQuery, Snowflake, SAP, Oracle, or similar.
• Experience with Excel and BI tools such as Looker, Tableau, or Power BI.

Responsibilities

• Create UI/UX design styles, reusable design systems, components and design tokens
• Conduct user acceptance testing
• Assist with user tracking and support
• Assist in implementing features for internal web applications and educational technology tools
• Build out front-end components and integrate back-end workflows
• Review AI-generated code snippets
• Undertake any other ad hoc duties as assigned

Requirements

• Proficient in data analysis, advanced Excel tools

Interested applicants please email your resume to meganng@recruitexpress.com.sg
Megan Ng Su Ting (CEI No.: R23115059)
Recruit Express Pte Ltd
EA Licence No: 99C4599
*** We regret that only shortlisted candidates will be contacted.