Total 1,147 data entry job vacancies in Information Technology category

First Circle is one of the fastest-growing FinTech companies in the country, providing financial services to under-served SMEs. We've already transformed access to credit for thousands of businesses, and now we're building a full-stack neobank offering multi-currency bank accounts, payments, FX, corporate credit cards, and payroll. As we enter this next phase of growth, we're hiring exceptional talent with a track record of excellence to join us in shaping the next chapter.

We’re looking for a Data Analytics Lead who's a practical problem-solver. The ideal candidate has strong problem solving and analytical skills, and is able to work with others to turn ideas into action. They don't stop at finding a neat solution to a problem - they want to implement change and see the results of their work. They’re comfortable with data, ready to tackle tricky problems in ambiguous situations, and able to partner with stakeholders, including senior leaders.

First Circle is changing small business banking in the Philippines. The sky is the limit for someone who wants to get stuck in and make a difference.

Responsibilities

• The role will report directly to Senior Leadership and offer high exposure to the executive leadership team, working on strategic priorities.
• There will be limited repetitive or process-based work. The majority of the focus will be on projects that deliver real business impact.
• Projects will vary in nature, scope, and duration, making this role ideal for candidates who enjoy variety and tackling new challenges.
• Example projects could include:
• Restructuring our analytics tables to ensure consistency across the firm, fast retrieval, and user-friendly creation of new metrics.
• Diagnosing issues with our sales funnel and working with our sales team to improve processes, including AI-automated solutions where possible.
• Building a churn-prediction model that will help us to pre-emptively engage with customers at critical junctures.
• Conducting price elasticity analysis and designing and implementing experiments to test the hypotheses.
• Automating our weekly and monthly reporting to surface insights and allow us to see the “so what."

• Professional Experience: 4–8 years of experience, ideally in a tech company or fast-paced environment, with a strong track record of implementing solutions and delivering results.
• Team Leadership: At least 1 year of experience leading and managing teams effectively.
• Problem-Solving & Analytical Expertise: Strong structured problem-solving skills with advanced proficiency in data and analytics tools (required: strong SQL; preferred: strong Python), including data modeling and table structuring for efficiency and usability.
• Execution-Driven Approach: Highly practical and results-oriented, with the ability to translate solutions into tangible business outcomes.
• Project & Stakeholder Management: Skilled in managing multiple projects and stakeholders within dynamic, high-growth environments.

• Hybrid work set-up: 2 days per week in our BGC office; remote the rest of the time.
• Benefits: HMO coverage from month one, free catered lunches, monthly fitness, transportation, and accommodation allowance, and more.
• Join a team with a deeply collaborative culture! Learn more here: https://www.firstcircle.ph/careers

We are hiring and the details of this position are:

Job title: Data Engineer (Perm role with up to 6mth VB, up to $8000 basic, Azure DevOps, Python)
This role will report to Data and Analytics Lead.

Job Description:
Data Management & Transformation

• Designing and developing new data pipelines and managing existing data pipelines that extract data from various business applications, databases, and external systems.
• Implementing data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
• Transforming data into the desired format by applying data cleansing, aggregation, filtering, and enrichment techniques.
• Establishing the governance of data and algorithms used for analysis, analytical applications, and automated decision-making.
• Manage the logical and physical data models to capture the structure, relationships, and constraints of relevant datasets.
• Ensuring compliance with security and governance best practices

Optimization & Automation

• Implementing and maintaining continuous integrations and continuous delivery pipelines for deployments and cloud resource provisioning.
• Optimizing data pipelines and data processing workflows for performance, scalability, and efficiency.
• Optimizing models and algorithms for data quality, security, governance, performance and scalability needs.
• Routinely assessing processor and storage capacity across the data warehouse and extract transform & load platforms, including capacity planning and forecasting.
• Monitoring and tuning data system, identifying and resolving performance bottlenecks, issues, and implementing caching and indexing strategies to enhance query performance.
• Monitoring the platform for credit consumption and housekeeping.
• Supporting the deployment and maintenance of AI solutions in the data platform.

Collaboration

• Working with data lead and business users to manage data as a business asset.
• Guiding the business users to create and maintain reports and dashboards.

Job Requirements:

• Bachelor’s or master's degree in computer science, data science, software engineering, information systems, or related quantitative field.
• At least 6 years of work experience in data management disciplines, including data integration, modelling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
• At least 4 years of work experience in designing and implementing data architectures in Azure cloud services and Databricks.
• Strong proficiency in Python (PySpark) and SQL programming; experience with Java or Scala is an advantage.
• Experience with relational and non-relational databases including SQL and NoSQL is a must, while familiarity with legacy databases such as Oracle is preferred.
• Experience using Azure DevOps, Databricks LakeFlow Jobs for DevOps practices including version control, CI/CD and pipeline deployment.
• Experience with data catalogue tools including Unity Catalog and Microsoft Purview.
• Familiarity with BI & visualisation tools such as Power BI and Python visual packages for data analytics is preferred.
• Experience supporting AI/ML model deployment, feature engineering and production inference is preferred.

Interested applicants please send your resume to rita@recruitexpress.com.sg and look for:

Rita Shi Tianhe

Recruit Express Pte Ltd

EA License No: 99C4599

EA Personnel Number: R26162019

We regret that only shortlisted candidates will be contacted.

Get to Know the Team

The Integrity team is dedicated to safeguarding all Grab users. We ensure user safety, prevent fraud, and help the Grab ecosystem achieve regulatory compliance. This team involves itself in the entire data lifecycle, from analyzing user behavior to developing detection and prevention modules across user onboarding and transaction journeys.

Get to Know the Role

Reporting to an Analytics Manager in the Integrity team, you will implement controls that protect Grab's ecosystem. You will assist with deep-dive analysis on user behaviors, product funnels, and transaction patterns to help identify potential risks and new fraud typologies. Your analytical support will contribute to the design of risk detection strategies, optimization of AI/Machine Learning models, and implementation of crucial risk controls to safeguard a diverse user base.

You will base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Assist in measuring and analyzing key risk metrics, such as fraud loss, business/product performance, and the performance/effectiveness of existing risk controls across Grab business verticals.
• Support the identification of new fraud and risk patterns by extracting and visualizing data, contributing to the development of data-driven rules and strategies.
• Perform statistical analyses to improve risk detection systems and ensure data integrity.
• Contribute to reporting and data visibility efforts by preparing datasets and dashboards to empower stakeholders (Product, Engineering, Risk Operations) with insights on key risk metrics and evolving attack patterns.
• Support data extractions and preparations required for internal audits and compliance assessments.
• Help design and analyze experiments to determine the effectiveness of new or existing risk controls within the platforms.

Data Management & Engineering:

• Design, implement, and optimise end-to-end data pipelines to improve the integration and processing of data.
• Oversee data storage, transformation, and retrieval processes to support analytics and reporting requirements.

Data Analytics & Reporting:

• Deliver actionable insights through analytics and reporting tools, enabling data-driven decision-making across the organisation.
• Implement robust data visualisation frameworks to enhance data accessibility and usability.

Data Governance:

• Enforce data governance frameworks, ensuring data quality, security, compliance, and regulatory alignment.
• Promote a culture of accountability and best practices around data usage and stewardship.

Solutions & Data Architecture:

• Design, build and maintain scalable data architectures, enabling the seamless integration of new technologies and methodologies.
• Collaborate with the clients data, technology and business teams to ensure alignment between solutions and business needs.

Key Responsibilities:

• Ensures the execution of the organization's financial strategy in alignment with its overall business goals.

• Oversees the preparation and presentation of accurate and timely financial reports to senior leadership team and board of directors.

• Conducts in-depth financial analysis to provide insights into organization's financial performance, trends, and opportunities for improvement.

• Uses data-driven analysis to make strategic financial decisions.

• Identifies, assesses, and mitigates financial risks that could impact business profitability or financial stability.

• Implements risk management strategies to safeguard assets and investments.

• Ensures the organization complies with all financial regulations, accounting standards, and tax laws in the regions where it operates.

• Maintains strong relationships with regulatory authorities and auditors, where applicable.

• Manages the allocation of financial resources, including capital investments, debt financing, and dividend policies.

• Establishes and maintains robust financial controls, policies, and procedures to prevent fraud, errors, and financial mismanagement.

• May assist with evaluation potential mergers, acquisitions, or divestitures from a financial perspective. May lead financial due diligence and integration efforts when necessary.

• Maintains relationships with investors and analysts, communicating the company's financial performance, strategic initiatives, and growth prospects.

• Oversees the management of the finance information systems and necessary reports for critical analyses of financial performance.

• Builds and leads a high-performing finance team, setting clear goals and expectations, providing mentorship, and fostering a culture of accountability and excellence.

• Manages a team of Senior Finance Managers carrying out the financial management and control processes.

Knowledge and Attributes:

• Process driven and commercially astute.

• Significant understanding of how technology solutions are influenced and affected by various business scenarios.

• Excellent business negotiation and conflict resolution skills.

• Political savvy.

• Significant knowledge of financial principles, accounting standards, and financial reporting.

• Significant understanding of financial modelling and analysis.

• Ability to think strategically and align financial strategies with the organization's overall business objectives.

• Significant proficiency in identifying, assessing, and managing financial risks.

• Excellent communication and presentation skills to effectively convey financial information to various stakeholders, both internal and external.

• Strong leadership and team-building skills to lead and develop a high-performing finance team.

• Significant capability to make sound financial decisions based on data analysis and risk assessment.

• Ability to adapt to changing business environments and lead financial transformation initiatives when necessary.

• Commitment to ethical and responsible financial practices and compliance with applicable laws and regulations.

• Commitment to staying updated with industry trends, financial regulations, and best practices through ongoing professional development.

Academic Qualifications and Certifications:

• Bachelor's degree or equivalent in a Finance related field preferred.

• Preferably post-graduate degree with extensive experience in a financial management capacity beneficial.

Required experience:

• Significant financial leadership experience in a related environment, managing people, processes and budgets to achieve corporate and divisional objectives.

• Significant demonstrable experience with and understanding of the deliverables of a financial function.

• Significant strategic planning experience.

• Significant in depth knowledge and understanding of IT industry environment and business needs, combined with strong understanding of business process.

• Significant experience managing finance operations on a global scale, including knowledge of international taxation, foreign exchange, and regulatory compliance in multiple regions.
  Extensive experience in specializing in financial perspective to drive business performance and business operational standardization.

  Extensive experience in working in Global MNC and/or High-Tech Industry

  Candidates who can speak Japanese will be highly of advantage

• Develops, implements, and maintains technical quality assurance and control systems and activities.
• Defines and specifies the implementation of standards, methods, and procedures for inspecting, testing, and evaluating the precision, accuracy, and reliability of the construction and future operation management.
• Participates in the reviewing of engineering designs to contribute quality requirements and considerations.
• Assists construction support areas in gathering and analyzing data.
• Demonstrable experience in the managing of multi-disciplined semiconductor projects and/or other relevant industries is strongly preferred.
• Implement construction quality management in construction activities.
• Collaborate with core team to perform the audits to validate and confirm Contractors’ QA/QC (Quality Assurance and Quality Control) activities.
• Focal Point for specific discipline, excellent familiarity with the project scope and drawings.
• Review and follow up the Contractors’ QA/QC plans and relevant Quality Documentation and verify execution is done per latest and updated IFC.
• Review and follow up the Contractors’ Quality records.
• Issues and tracks NCR (Non-Conformance Record) items till closure.
• Supports and coordinates Mock-ups.
• Escalation path for relevant Lead Project Manager.
• Performs incremental checks to validate and confirm Contractors’ installations.
• Attend mutual QC walk down with Owners.
• Supports Design Verification (DV) Process and start-up and commissioning quality issues.
• Root cause analysis and problem-solving program. Tracking defect rectification and closure in time.
• Perform Quality training for Subcontractors.
• Summarize and categorize all kinds of Quality inspection statistic data and list down for supervision, analysis and outcome report for improvement and recovery.

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business – Cloud & Data Centre Solutions

ST Engineering Cloud and Data Centre Solutions Pte Ltd provides all aspects of cloud management, services, and solutions, from initial setup and migration to ongoing operations and optimization. Services include engineering works to design, build and provide facility management service for mission critical environments such data centers, disaster recovery, and business continuity sites.

Together, We Can Make A Significant Impact

As a Technology Strategist in the CTO Office at Cloud and Data Centre Solutions (CDCS), you will report directly to the CTO, CDCS to play a strategic and cross-functional role in shaping the future of cloud capabilities within the business unit. You will be responsible for identifying, evaluating, and driving the adoption of cutting-edge technologies that align with CDCS’s vision of becoming a cloud and AI powerhouse.

Be Part of Our Success

Research and Development

• Continuously scan the market for bleeding-edge cloud technologies.
• Engage and stay up to date with key technology partners (e.g., AWS, Google, Oracle, Microsoft, Elastic, RedHat) on developments in their technology stack.
• Collaborate with professional services, presales, and managed services teams to assess the applicability of new technologies across CDCS.
• Shortlist and recommend technologies to develop into Proof of Concepts (POCs).
• Lead POC and R&D projects to completion, evaluating their adoption within business units.
• Drive the adoption of viable technologies across CDCS and its customer base.

Change Management and Capabilities Development

• Be the change agent driving the digital transformation of CDCS into an AI and cloud powerhouse.
• Develop, track and plan the overall capabilities development of CDCS, aligning with long-term strategic goals.
• Document staff capabilities, including tracking certifications and competencies across various cloud technologies to ensure alignment with organizational goals and partner requirements.
• Leverage partner programs for training, certifications, and rebates to enhance team competencies.
• Plan and manage resource allocation, including considerations for outsourcing and partner collaboration.

Stakeholder Communication and Reporting

• Prepare strategic presentations and reports for senior management, highlighting progress, partnerships, financial plans, and technology direction.
• Track and report on cost savings, training progress, and certification achievements.

Qualities We Value

• Minimum 2 years of experience in cloud technology (AWS, Azure, GCP, Oracle, GCC).
• Experience working in the corporate arm of an organisation, with the ability to work with senior leadership and cross-functional teams.
• Excellent written and verbal communication skills, with a proactive and analytical mindset.
• Experience in evaluating and implementing emerging technologies, managing vendor relationships, and driving change management initiatives.
• Familiarity with AI, data platforms, digital transformation, enterprise architecture, cloud governance, and innovation management.
• Certifications in cloud platforms (e.g., AWS, Azure, GCP) are advantageous.

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

About ST Engineering

ST Engineering  is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business – Cloud & Data Centre Solutions

ST Engineering Cloud and Data Centre Solutions Pte Ltd provides all aspects of cloud management, services, and solutions, from initial setup and migration to ongoing operations and optimization. Services include engineering works to design, build and provide facility management service for mission critical environments such data centers, disaster recovery, and business continuity sites.

Together, We Can Make A Significant Impact

The Technical Manager is responsible for leading the design, deployment, and management of cloud architectures across AWS and Azure platforms. You apply best practices in cloud engineering and security to mitigate risks associated with new technologies and evolving business needs. The role contributes to the creation of artefacts spanning design, development, and implementation, ensuring that cloud architecture and deployment principles align with overall enterprise technology strategies. You provide leadership in the fulfilment of cloud infrastructure tasks spanning Day 1 and Day 2 activities.

Be Part of Our Success

• Participate in the design and implementation of cloud architectures and controls in alignment with enterprise security and compliance guidelines.
• Assist in the testing and evaluation of new cloud-native services, tools, and deployment models to ensure scalability, resilience, and security.
• Recommend cloud products, services, and deployment procedures to enhance overall system architecture design.
• Document the design, operation, use, and expected outputs of AWS and Azure cloud environments.
• Implement new enterprise cloud solutions, services, and enhancements across Day 1 (deployment) and Day 2 (operations) activities.
• Resolve issues that arise during cloud deployments, migrations, and integrations.
• Identify opportunities to scale up and automate infrastructure and processes through Infrastructure-as-Code (IaC), CI/CD pipelines, and monitoring solutions.
• Monitor cloud infrastructure for performance, availability, and security gaps, and propose continuous improvements.
• Oversee the maintenance of cloud platforms, services, and associated automation tools.
• Develop and implement disaster recovery drills and simulation tests for critical workloads hosted on AWS and Azure.
• Provide leadership in the resolution of incidents, performance bottlenecks, and cloud operational challenges.

Qualities We Value

• Strong understanding of cloud architecture principles, design patterns, and best practices for enterprise-scale deployments.
• Proven hands-on experience with public cloud platforms, particularly AWS and Azure, covering both Day 1 (deployment, configuration, migration) and Day 2 (operations, monitoring, optimization, incident response) activities.
• Experience with automation and Infrastructure-as-Code (IaC) using tools such as Terraform, CloudFormation, or ARM templates; proficiency in Python for scripting and workflow automation is an advantage.
• Familiarity with hybrid and multi-cloud environments, with Google Cloud knowledge considered a plus.
• Strong collaboration skills with the ability to work effectively in cross-functional, agile, and DevOps-driven teams.
• Demonstrated critical thinking, analytical ability, and creative problem-solving in cloud deployment, security, and operations.
• High attention to detail with a focus on quality, scalability, resilience, and cost optimization in cloud solutions. 

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated. 
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

Our Data & AI Vision

We are building an AI-native data platform that:

• Unifies data across ecommerce, marketing, creators, and operations into a real-time, governed data foundation
• Moves beyond dashboards to deliver proactive, predictive, and prescriptive insights
• Enables AI-driven self-serve analytics for business users via natural language, copilots, and agents
• Powers autonomous decision-making and optimization across pricing, campaigns, inventory, and content
• Embeds machine learning and generative AI into core workflows (forecasting, recommendations, anomaly detection, content insights)
• Acts as the intelligence backbone of our internal tech platforms

Our current stack includes Google BigQuery, StarRocks, Airflow, DBT, Cube.dev (semantic layer), Looker Studio, and Apache Superset—and we are evolving this into a modern AI + data platform with real-time, ML, and agentic capabilities.

Role Overview

We are looking for a hands-on Head of Data & Analytics to lead the transformation from a traditional BI and data platform into an AI-driven intelligence platform.

You will:

• Own the end-to-end data, analytics, and AI strategy
• Build a platform that shifts the company from reporting → insights → actions → autonomous optimization
• Enable both internal teams and external clients with self-serve, AI-powered decision-making tools
• Partner closely with Product, Engineering, and Business teams to embed intelligence into every workflow

This role requires someone who is equally comfortable:

• Defining data + AI strategy at the leadership level
• Designing modern data and ML architectures
• Driving real business impact through insights and automation

Key Responsibilities

1. Data, Analytics & AI Strategy

• Define and execute the roadmap for an AI-native data platform aligned with Intrepid’s product and business strategy
• Evolve the organization from dashboarding → proactive insights → autonomous intelligence systems
• Identify and prioritize high-impact opportunities across ML, GenAI, and agentic workflows in ecommerce, marketing, and social commerce
• Drive adoption of AI-powered self-serve analytics and copilots across business teams

2. Data Platform, Architecture & Governance

• Own the design and evolution of the modern data stack, including:
• Data warehouse/lakehouse (BigQuery, StarRocks)
• Data pipelines (Airflow, DBT)
• Semantic layer (Cube.dev)
• BI tools (Looker Studio, Superset)
• Extend the platform to support:
• Real-time and streaming data use cases for social commerce
• Vector databases, MCP, and LLM integration layers
• Establish strong foundations for data governance, privacy, security, quality, lineage, and cataloging
• Ensure platform scalability, reliability, and cost efficiency

3. AI, Machine Learning & Intelligent Systems

• Lead the development and deployment of:
• Anomaly detection and automated insight systems
• Generative AI use cases (copilots, automated reporting, content insights)
• Recommendation systems (product, pricing, targeting)
• Predictive models (forecasting, ROAS optimization, churn, inventory planning)
• Drive adoption of LLM-powered analytics (NL2SQL, conversational BI, insight generation)
• Build foundations for agentic AI systems that can autonomously analyze, recommend, and act

4. Business Impact, Self-Serve & Team Leadership

• Transition from pull-based dashboards → push-based, actionable insights
• Enable business teams with:
• Proactive alerts, recommendations, and decision support tools
• Scenario simulation and planning capabilities
• Build AI-powered self-serve analytics experiences, reducing dependency on central teams
• Drive semantic layer adoption and metrics standardization across the organization
• Define and track impact metrics (e.g., GMV uplift, marketing efficiency, cost reduction, automation rates)
• Build and lead a high-performing data organization (Data Engineering, Analytics Engineering, Data Science, BI)

Foster a culture of ownership, experimentation, and AI-first thinking, partnering closely with tech and business functions

Experience & Domain Expertise

• 10+ years in data, analytics, and AI roles, with 3+ years in leadership
• Strong experience in ecommerce, marketplaces, martech, or digital platforms
• Proven track record building modern data platforms and scaling data teams
• Experience working in multi-country / SEA environments is a strong plus

AI & Data Expertise

• Deep expertise in the modern data stack:
• BigQuery, DBT, Airflow, real-time pipelines, semantic layers
• Hands-on experience with:
• Generative AI / LLMs (RAG, copilots, natural language interfaces)
• Experimentation frameworks and causal inference
• Machine learning (forecasting, optimization, recommendations)
• Familiarity with:
• Feature stores, MLOps, vector databases, and AI orchestration frameworks
• Strong understanding of data modeling, governance, and scalable architecture

Leadership & Ways of Working

• Proven ability to build and lead multi-disciplinary data teams
• Strong communication skills; able to translate complex data/AI concepts into business value
• Highly analytical and structured thinker
• Comfortable operating in fast-paced, ambiguous, high-growth environments
• Collaborative, pragmatic, and outcome-driven

Why Join Intrepid Asia

• Build the AI-powered intelligence engine for the future of ecommerce and social commerce in SEA
• Move beyond dashboards to autonomous, decision-making systems
• Work on real-world, high-scale data across marketplaces, creators, and marketing
• Be a key leader shaping AI-first transformation across the company
• Collaborate with top brands and platforms across Southeast Asia

If you’re excited about building the AI-powered intelligence backbone for the next generation of ecommerce and social commerce in Southeast Asia, we’d love to hear from you.

In return, you will be getting

• We are building 'the operating system for digital commerce in South East Asia' covering all key platforms, working with leading international brands, with a breadth and depth of functionalities (Middleware, OMS, Inventory mgmt, Store Ops, CX, MarTech, Data & Analytics) that few in the industry can match
• You get the chance to work on exciting SaaS projects and sophisticated features and functionalities that will make a big impact in the industry, on a top-notch scalable infrastructure.
• Our Tech team has been around since 2017, so you will join a well-oiled and stable "machine" (= rockstar expert team), where processes are well established and enterprise-grade. But at the same time, our organisation is non-hierarchical, entrepreneurial and collaborative, and working on cool stuff, so you get the best of both worlds.
• Tech is a strategic pillar for intrepid, so you will feel the love and recognition for your work, and will partner closely with business stakeholders, who as internal users of the tech will provide the real-world feedback and inputs which help to take our tech stack to the next level

We also offer

Best of Both Worlds

We are a scale up: the sophistication of a small multinational, with the agility of a start-up. This means you get to work on cutting-edge projects, and besides your 'standard' job description, we love to see you show entrepreneurial initiative and want to see your take on how you can take your role and our company to the next level. Good ideas get implemented. You are the master of your own destiny.

Culture that Brings Out the Best

At Intrepid, culture is not just a buzzword, it is what we practice at work every day. We believe in collaboration over competition, transparency over politics, and willingness to learn over ego. You will be part of a team where people genuinely support one another, celebrate wins together, and face challenges head-on as one. We put our all into the work but we balance it with fun, whether that is through team lunches, after-work hangouts, events or shared laughter in the office. This is a place where you can thrive professionally while having a great time.

Grow Without Limits

Learning at Intrepid is constant and dynamic. You will have access to formal training through face-to-face sessions, coaching and our very own Intrepid Academy. On top of that, real-world experience such as leading clients, working with advanced tech, and mastering best-in-class processes will accelerate your growth every step of the way. Surrounded by a talented team that raises the bar daily, in a rapidly growing and ever-expanding business, the opportunities for your development are endless.

Rewarding You Right

We believe great work deserves great rewards at Intrepid. That’s why we offer competitive compensation and generous benefits, including comprehensive insurance and ample leave, to support you both in and out of the workplace. We want you to feel valued, cared for, and empowered to bring your best self to work every day.

Note: We will not be accepting any unsolicited resumes or CVs from headhunting or recruitment agencies at this point. Any CVs or profiles shared with us will not be entertained, and in the event of dispute, Intrepid will not be liable for any material compensation to third parties.

#LI-VD1

In this role, you will become part of the Performance Excellence Pillar. The role is intended to work on Quality escape, RCA, KPI, and strategic prediction by analyzing data countries/clusters. You will have the opportunity to lead continuous improvement projects, according to the requirements, and deliver the expected business impacts. You will be working closely with Process Engineers, BAU Leads, Transformation on compliance-related initiatives and local projects.

• Analyze and identify areas for improvement in BAU (Business as Usual) processes and drive convergence of processes and tools
• Identify and implement solutions that translate into standardization and process efficiency while balancing local BAU needs
• Evaluate, develop, and implement policies and procedures, mapping business processes, capturing and sharing best practices between the respective countries and regions
• Facilitate and organize improvement and problem-solving workshops, brainstorming with stream members
• Work with metrics and data to identify improvement opportunities, delivering data-driven analysis and business cases
• Cooperate with Global Enablement, Governance, Process Owners, and Operations leaders to ensure we maintain high-quality deliverables and our delivery standards are met or exceeded.
• Utilize the AI concept to streamline the process to gain the operation efficient.

You will apply a data-first approach to product and business thinking, unveil data-driven insights, design controlled experiments and be objective while evaluating results, all of this while working with stakeholders to evaluate new and innovative product and business ideas. You will contribute to helping Developers, Designers and Product Managers across the company with recommendations on how to learn from unexpected results, study underlying causes for them and iterate on the next set of products to build for our users.

This role is based on-site in our Petaling Jaya office.

This Data Operations Analyst is responsible for data input validation and data cleaning focusing on specific industry/category or set of categories (e.g., Beverages, Food, Health and Beauty Products). As a Data Operations Analyst at NielsenIQ, you support the create and deliver client output deliveries in a correct and timely manner.

• Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process or product related queries
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Analyze and identify gaps and areas for improvement in coding, data input validation and client instructions environments (CIP - Consumer Information Platform) and drive the convergence of processes and tools
• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction
• Operate in a virtual/multi-cultural environment, liaising with stakeholders 

As a Senior Data Analyst, you will leverage your expertise to directly impact the growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within one of our functional analytics teams. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Own a risk & fraud problem domain end-to-end, framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, service performance and customer experience.
• Act as a thought partner to business and domain leads, shaping problem statements, challenging assumptions, and co-developing data-driven solutions to high-impact risk and fraud challenges.
• Apply advanced analytical methods, including simulation, optimisation, and statistical modelling, to detect and solve complex problems such as incentive abuse, refund claim abuse and.
• Determine causal impact in operational environments, designing and analyzing experiments (e.g., cluster, switchback) and applying causal inference methods (e.g., DiD, synthetic controls) to inform business decisions.
• Build and scale data products and analytical tools, leveraging modern data stacks and agentic AI workflows to enable deep dives, self-serve analytics, and faster decision-making.
• Drive exploratory and root cause analyses, identifying performance drivers and uncovering opportunities for optimization across the risk and fraud infrastructure.
• Collaborate cross-functionally with data and engineering teams, contributing to data modeling, metric definitions, and scalable solutions that accelerate time-to-insight.
• Communicate with clarity and influence, translating complex analyses into actionable recommendations and driving alignment across technical and business stakeholders.

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• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

The Reference Data Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information
• Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

• Develop, implement, and maintain comprehensive HSE programs and policies tailored to high voltage substation construction activities.
• Ensure project is in compliance with relevant local and national health, safety, and environmental regulations, as well as the company standards and policies.
• To provide the best practice HSE solution on day-to-day monitor and report to maintain high HSE standards in the field.
• Conduct regular risk assessments and job hazard analyses to identify potential hazards and implement appropriate control measures.
• Conduct regular site inspections and audits to monitor compliance with HSE standards. Identify areas for improvement and implement corrective actions.
• to monitor and review the implementation of HSE standard at the high voltage substation construction site.
• Ensuring project meeting that we chair starts with a Health & Safety moment which we initiate through our dedicated Health, Safety, Wellbeing App
• Ensuring all employees, contractors, subcontractors and vendors on site have a requisite level of compliant safety training resulting in them having knowledge of high degree of hazard awareness.
• Adopting a collaborative approach to health and safety across the entire project team promoting safety accountability at all levels, including from the client and owner.
• Setting a zero-tolerance health and safety culture.
• Adopting health and safety assurance process emphasizes leading indicators, which are effective in the developing mitigations to risks on the project site
• Proactively undertaking site supervision of works activities to address safety concerns or identified risk activities.