463 Data Verification jobs in Singapore

About This Role

Join us as a Data Verification Executive and be part of a meaningful public-sector initiative that ensures fairness, transparency, and accountability in the distribution of grant funding. In this role, you will play a key part in safeguarding the integrity of the grant process by verifying applications, conducting onsite checks, and developing Standard Operating Procedures (SOPs) that will guide the project from start to finish. Your work will have a direct impact on strengthening public trust and supporting organisations that make a difference.

What You'll Do

• Review and verify documentation for public-sector grant applications
• Conduct onsite verification visits to applicants' premises
• Develop, refine, and maintain SOPs to ensure consistent and accurate checks
• Collaborate with the project team to meet quality and timeline targets
• Contribute to continuous improvements in verification processes

What We're Looking For

• Minimum 3 GCE 'A' Level passes or a Diploma in any discipline
• At least 2 years of relevant work experience in verification, compliance, auditing, or a related field
• Meticulous with an eye for detail, coupled with strong interpersonal skills
• Able to work both independently and as part of a team
• Comfortable with occasional fieldwork for onsite visits

Why Join Us

• Supportive Environment – We invest in our people with training, skills development, and a collaborative culture.
• Attractive Benefits – Meal subsidies, health and medical coverage, and company activities.
• Performance Rewards – Incentives and performance bonuses.

Other Details

• Project starts: October 2025
• 1-year contract
• 5-day work week (Monday to Friday, 8:30am – 6:00pm)

How to Apply

If you are driven by integrity, precision, and purpose, we'd love to hear from you. We regret that only shortlisted candidates will be contacted.

Job Types: Full-time, Contract

Contract length: 12 months

Pay: $2, $3,000.00 per month

Education:

• GCE 'A' Level or equivalent (Required)

Work Location: In person

Empower business teams to leverage data effectively by joining a critical dual-role position at the intersection of data engineering and business intelligence functions.

This unique role combines technical expertise with teaching, coaching, and driving data literacy.

• Quality Assurance (50%):
• Design test cases to validate data ingestion and transformation logic within Snowflake.
• Perform end-to-end data validation using SQL, comparing data between source systems and Snowflake environment.
• Validate and quality-check stored procedures and complex scripts used for ETL/ELT processing.
• Develop Python scripts for automated data comparison and process automation.
• Utilize JIRA to manage test cycles, track defects, and report on testing progress and quality metrics.
• Tableau Coaching & Business Enablement (50%):
• Act as a trusted advisor to business teams, partnering with them to identify high-impact use cases.
• Design, develop, and deliver engaging Tableau training programs.
• Provide coaching and support to foster self-sufficiency and innovation in data exploration and visualization.
• Maintain, refresh, and optimize enterprise dashboards.
• Conduct User Acceptance Testing (UAT) with business users.

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related field.
• 3-6 years of professional experience in a data-focused role, with proven expertise in Tableau and BI tools.
• Strong proficiency in SQL for data manipulation and analysis.
• A basic understanding of Snowflake architecture and scripting.
• Excellent analytical, problem-solving, and root-cause analysis skills.
• Outstanding verbal and written communication skills.

The Calibration Data Coordinator role involves ensuring the accuracy and integrity of calibration and maintenance data, updating and verifying key records, and supporting the team in maintaining compliance with industry standards.

• Data Management: Verify calibration and maintenance data accuracy within our system against commissioning protocols.
• Work Order Review: Review calibration work orders to ensure accurate documentation and up-to-date information.
• Quality Assurance: Check calibration records for completeness and accuracy across all entries.
• Collaboration: Partner with cross-functional teams to resolve discrepancies in calibration or maintenance data promptly.
• Documentation Support: Maintain comprehensive and organized documentation for calibration and maintenance activities, ensuring compliance with internal auditing procedures.

The ideal candidate will possess excellent analytical skills, strong attention to detail, and a proven track record of delivering high-quality results under tight deadlines. They must also be able to effectively communicate complex technical information to both technical and non-technical stakeholders.

Required Skills:

• Strong understanding of data management principles and best practices.
• Excellent analytical and problem-solving skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Benefits:

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• A dynamic and supportive work environment.

Why Join Our Team?

We are committed to providing our employees with the resources and support they need to succeed. If you are a motivated and talented individual who is passionate about delivering exceptional results, we encourage you to apply for this exciting opportunity.

Technical Product Manager, Marketplace Intelligence & Data - Identity Verification (Campus Recruitment 2026)
Join to apply for the Technical Product Manager, Marketplace Intelligence & Data - Identity Verification (Campus Recruitment 2026) role at Shopee.
About The Team
Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa. Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied.
The mission of the Marketplace Intelligence and Data team is to build large-scale data and intelligent products to facilitate the growth of Shopee's e-commerce business. This team is responsible for building Shopee's e-commerce data warehouse, development of merchant and operational data products, end-to-end traffic data products, product algorithms (including product listing, control, information optimization, SPU and price competitiveness, etc), promotion algorithms (including product recruitment, product selection, and recommendation algorithms), review algorithms, user profiles, as well as fundamental artificial intelligence capabilities such as machine translation, speech algorithms, image algorithms, and KYC verification.
Job Description
As a Technical Product Manager at Shopee, you will drive technical project delivery from request planning, competitor analysis, development, testing, UAT and launch. You will also collect, analyze and summarize customer feedback and work with various stakeholders to deliver improvements. You are the owner of different technical projects and a bridge between internal and external teams.
Responsibilities
Drive end-to-end product development of technical projects, from ideation, data analysis, development, testing, launch and iterations.
Conduct competitive analysis and market research to identify opportunities, gaps and areas of improvement for current solutions.
Manage stakeholders’ expectations and project timelines and deliver projects in alignment with business objectives.
Collaborate with other product teams, and work closely with data science and engineering teams to deliver technical solutions, including but not limited to identity verification services.
Requirements
Bachelor's degree in a Business, Finance, Economics, Data Science, Computer Science, Statistics or other quantitative fields.
Strong analytical, problem solving and logical thinking skills.
Ability to gather and analyze market data, customer feedback and performance metrics to inform product strategy.
Basic knowledge of modelling, data science, and SQL.
Good To Have
Ability to take initiative, navigate ambiguity, and manage tasks independently with minimal supervision.
Basic knowledge of product design principles and UI/UX design.
Basic knowledge of database design, data modeling.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Internet Marketplace Platforms and Technology
Information and Internet
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You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

• Remuneration bonuses package

• Conducive working environment

• Promising career prospect and advancement

Job Scopes:

• Design and implement data pipelines to extract, transform, and load (ETL) data from various sources to enable real-time visibility and decision-making
• Automate data cleansing and validation processes to improve overall data quality
• Develop and maintain dashboards and reports using business intelligence tools
• Establish data standards, governance frameworks, and best practices for data management
• Identify data quality issues and implement solutions to enhance reliability

Job Requirements:

• Diploma or degree qualification
• 3-5 years of related experience
• Microsoft Office, SQL, Power BI, Oracle
• Analytical and problem-solving skills
• Good communication and collaboration abilities

*** Sincere & Interested applicants, kindly forward your Updated resume (word doc format) to and CC: Allan (R **

A senior-level professional is sought to oversee data analysis and drive business growth through strategic decision-making.

The ideal candidate will collaborate with high-level executives to develop and implement data-driven solutions, leveraging quantitative techniques to optimize performance.

Key responsibilities include:

• Designing and implementing data architectures to support business objectives.
• Developing and maintaining complex models using machine learning algorithms.
• Analyzing large datasets to identify trends and insights.

Successful candidates will have a Master's degree in a quantitative field such as Mathematics, Statistics, or Economics, and at least 3 years of experience in financial data analysis roles. Proficiency in programming languages such as Python, C++, Java, and R is required, along with experience with machine learning tools like TensorFlow and PyTorch.

In addition to technical skills, strong communication and collaboration skills are essential for success in this role.

Job Role: Data Analysis Professional

As a Data Analysis Professional, you will be responsible for collecting and reviewing data to inform business decisions. You will utilize various data analysis tools such as Excel, ACL, and Tableau to perform audits and provide actionable insights.

• Data Collection and Review


• Audit Planning and Execution


• Analysis of Audit Findings


• Identification of Issues and Suggestions for Process Improvements


• Support in Finalizing Audit Reports and Gathering Management Responses

• Background in Accounting or Business Studies


• Proficiency in Microsoft Excel

Why This Role?

This is an excellent opportunity for those interested in data analysis and audit work. You will have the chance to develop your skills in data collection, review, and analysis, as well as contribute to improving processes within the organization.

HR

Job description:

• Scheduling and arranging of appointments
• Guide clients with data given
• Evaluate data given and create portfolio for clients

Work from home

No prior experience required

Confident and willing to learn

Polite to customers when calling them

Team-player

Able to listen to instructions

INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO : worklifebalance82