Total 21 Others/Any Big data analyst job vacancies in Petaling Jaya

Job Summary

Enterprise data management world for creating and maintaining an optimal data pipeline architecture, typical duties and responsibilities for a Data Engineer position includes:

Job Responsibility

• Assembling large, complex sets of data that meet non-functional and functional business requirements
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, AWS and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
• Working with client stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
• Working with client stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

Perks & Benefits

• Employee equity
• Allowance (travel stipends, transportation, etc.)
• Nearby public transport
• Free snacks / Happy hours
• Regular team activities
• Company trips
• Medical insurance
• Personal leave
• Open culture
• Personal development opportunities
• Paid training and development

Get to Know the Team

At Grab, we empower merchants, advertisers and agencies to connect with our extensive ecosystem and audience through innovative solutions. Our unique platform allows clients to access their target markets effectively, ensuring measurable outcomes. We invite you to join us as we create value for users, drivers, merchants, and advertising partners while striving to improve daily life across Southeast Asia.

Get to Know the Role

Reporting to the Senior Sales Operations Manager, the Sales Ops & Analytics, you will be collaborating with Sales Operations, Commercial, Product Analytics, and Finance to develop and implement strategies and tools for the Sales teams. Your focus will be on promoting and delivering services to Grab's ecosystem. You should be able to both strategize and execute plans alongside the Commercial and Sales Operations Team. In this dynamic environment, you will contribute to sales strategy, customer segmentation, process improvement, and business analytics.

This is a fully onsite role at our Petaling Jaya office.

The Critical Tasks You Will Perform

• You will act as a key partner for the Commercial Country Head and Country Sales Managers in MY/SG.
• You will lead the execution of country market planning and business reviews.
• You will analyze key sales and performance indicators to inform strategic and tactical decisions while ensuring sales forecast accuracy.
• You will support sales teams in monitoring and forecasting against quarterly targets for revenue and other KPIs.
• You will provide market and sales data intelligence to aid the sales team in forming strategic business cases.
• You will partner with sales leadership to define sales strategies and requirements for business systems.
• You will ensure integrity of sales and customer data by advocating proper usage of tools like Salesforce.
• You will coordinate with Regional Operations to enhance sales operations efficiency at the country level.

The Data Operations Analyst  is responsible of reformatting the retailer and vendor input files, validations, outlier checks and sending the deliverables to the next workstream in a correct and timely manner.  

• Be the contact for questionable sales and stores trend, leading the resolution in a client-focused and timely manner in cooperation with Input Validation, Retailer Vertical/ Retailer Engagement team and other downstream functions. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries 
• Plan and execute complex daily personal workload and support to meet departmental and company schedules 
• Analyze and identify gaps and areas for improvement in reformatting and validations environment (CIP – Consumer Information platform) and drive 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 and colleagues

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 

Get to Know the Team

The Data Platform team at Grab is a collective of software engineers, product managers, product designers, software engineers, and technical program managers, part of the larger Tech Infrastructure organization and focused on enhancing the productivity, development velocity, and efficiency for fellow internal Grabbers, serving millions of users daily. These platforms encompass Experimentation, Data Discovery and Catalog layers, Metrics Engine, Customer Data Platform, Streaming Platforms, and Machine Learning Platform. Our mission is to build and maintain a suite of tools and platforms that enable Grabbers to work smarter, faster, and more collaboratively.

Get to Know the Role

We're looking for a Lead Product Manager to join our Technical Infrastructure team, specifically focusing on Data Platform. In this role, you'll collaborate with engineering, data science, analytics, and product teams to pinpoint areas for improvement and develop impactful solutions. The Data Platform team empowers the underlying platform and infrastructure that supports all data applications in Grab, including data ingestion, data storage, data discovery, data query, data quality, and data activation. You'll work with cross-functional leaders across the company to drive organization-wide changes.

You will report to the Head of Product, Data Tech and AI, and base onsite at our Petaling Jaya office.

The Critical Tasks You Will Perform

• Define and execute the product strategy for the Data Platform.
• Collaborate with cross-functional teams to identify opportunities for improvement and develop tailored solutions.
• Gather requirements, conduct user research, and prioritise the product backlog ensuring the team focuses on high-impact projects.
• Establish strong relationships with internal stakeholders and deeply understand their needs and challenges.
• Drive the adoption and onboarding of internal tools and Data Platform, ensuring user engagement and success.
• Oversee product launches and go-to-market activities for internal tools and data platforms.
• Communicate with both technical and non-technical stakeholders, ensuring the team's work is well-understood and well-supported.

This role covers the activities post inputs are received from the source - retailers/vendors. Primary focus is to be the bridge between the Supplier Engagement team and other Ops pillars. System changes surveys, BAU query resolution, MSD tickets tracking and closure, KPIs reporting, productivity initiatives, RCAs are the key areas of work for this team. Apart from this, the team is also responsible to analyze, classify and management of the data. This role is accountable for handling data queries arising from BAU quality checks (RAP & DQI scoring).

Job Responsibilities

Retailer Onboarding and Engagement:

• Collaborate with the Supplier Engagement Lead on retailer onboarding.
• Ensure compliance for received data by working closely with retailers and NielsenIQ teams.
• Track retailer or vendor data quality and conduct regular reviews with internal stakeholders and retailers.
• Drive specific quality improvement goals for retailers, including change management related to data receipt.
• Handle large data sets with exposure to multiple formats and TLog data.
• Understanding of SAP, transactional data handling, FTP, and MFT setup and maintenance.
•  Ability to extract, transform, load, and clean large data sets from multiple sources.
• Familiarity with managing, querying, and aggregating large data sets.

System Change and Data Corrections:

• Plan and follow up on operational activities.
• Address data corrections due to MSD or other data errors through retailer discussions and planning with Ops.
• Track and resolve MSD tickets.
• Collaborate with INS team on results of eDive for System change.

Stakeholder Management & BAU Collaboration and Communication:

• Act as the internal SPOC for Ops and regional leadership teams.
• Provide updates on KPIs, market progress on retailer onboarding, BAU KPIs, and productivity initiatives. (internal SPOC for Ops)
• Communicate with internal and external stakeholders to resolve data issues.
• Provide timely updates and visibility to stakeholders.
• Contact data providers via email if data has not been received as per SLAs.
• Communicate with data providers on any discrepancies found in initial data checks, FoVa reports, shop usability, or other factory processes.
• Handle new store information and confirmation on store closures.
• Address new stores and closed store queries.
• Coordinate with Input Ops and Output for processing reissued data.
• Send relevant IO communications (internal) regarding new/closed stores, missing retailer data, estimation of retailer data, reissue of retailer data, store name changes, store mapping corrections, retailer expansion, and retailer data changes during BAU.

Quality Assurance:

• Conduct quality checks, including eDive primary testing of data, and RAP scoring, eDive.
• Address data queries arising from quality checks.

Opportunity Identification:

• Identify new operational efficient opportunities within existing retailers.
• Ops teams (NOC), and DA Analysts to realize these opportunities, consulting closely with the commercial or RV team as applicable.

The Reference Data Specialist (RD PH) 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

At Continental Tires we want to make analytical excellence an integral part of all processes that have impact on leveraging business value. In cooperation with our domain experts from the Business units we identify business problems which can be supported and solved by using methods from Advanced Analytics and Artificial Intelligence. Only with data insights we will be able to adapt to changes and mitigate risks in a constantly changing economy.

As Data Scientist you will work in a global team of experts delivering Data Science products and know-how to diverse areas all over the tire business. Our Data Science Hub in Portugal will be integral part of this team.

Responsibilities

• Be integral part of projects in an area of specialization like Sales, Marketing or Supply Chain Management.
• Work on our Sales and Marketing data to create forecasts, customer insights and connect the dots that others don’t see.
• Work with domain experts to understand their problems and solve them with data.
• Be a partner in connecting the necessary experts from business and IT to solve problems.
• Get involved into different tasks at once and involve yourself with our team to get the support you need.
• Support in shaping the processes and organization to leverage the business value Data Science can bring to our enterprise.

We’re looking for a motivated, detail-oriented Risk & Compliance Analyst to join our global Risk & Compliance team. Based in PJ, Malaysia, you’ll play a key role in supporting our operations worldwide by helping to identify, assess, and manage risks, ensure compliance with laws, regulations, and internal policies, and contribute to enterprise-wide risk management initiatives.

Enterprise Risk & Compliance

• Support the maintenance and ongoing enhancement of the company’s enterprise risk and compliance frameworks
• Facilitate and coordinate risk assessments across all business functions, working closely with stakeholders to identify, assess, document and monitor key risks. This includes supporting business owners in understanding risk exposures, ensuring consistent application of the enterprise risk framework, and contributing to the ongoing maintenance and enhancement of organisational risk registers.
• Guide and support risk owners in the development and implementation of policies, procedures and internal controls to effectively mitigate identified risks.
• Support internal and external audit and assurance activities
• Coordinate with local and global teams to ensure compliance with applicable regulations across all operating jurisdictions.
• Prepare clear and insightful risk and compliance reports for management and key stakeholders.
• Monitor and communicate regulatory and legal developments impacting the global data centre industry.
• Contribute to training and awareness initiatives to promote a strong, risk-aware culture across the organisation.

Third-Party Risk Management (TPRM)

• Support the development and rollout of a robust Third-Party Risk Management (TPRM) framework, aligned with global best practices.
• Conduct risk assessments for suppliers, contractors, and service providers, including operational, financial, cybersecurity, and compliance risks.
• Assist in building and maintaining a comprehensive third-party risk register, capturing risk ratings, contractual obligations, and compliance requirements.
• Work closely with procurement, legal, and operational teams to ensure risk-based due diligence is completed before onboarding new suppliers and during periodic reviews.
• Help establish monitoring and reporting processes to track third-party performance and compliance with contractual and regulatory requirements.
• Support the drafting of policies and procedures to mitigate third-party risks, including areas such as data protection, modern slavery, business continuity, and ethical sourcing.
• Participate in third-party audits, inspections, and remediation activities.
• Provide training and guidance to internal teams on third-party risk awareness, assessment processes, and escalation protocols.
• Contribute to building a risk-aware ecosystem across suppliers and partners, ensuring critical third-party risks are identified and managed before impacting operations.

About you:

• Excellent analytical, organisational, and problem-solving skills.
• Strong communication and interpersonal skills, with the ability to engage effectively with diverse global teams.
• High level of integrity and ability to handle confidential information with discretion.
• Proactive, adaptable, and comfortable navigating evolving regulatory environments.
• Strong cross-cultural awareness and experience working with international stakeholders.

The Data Processing 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 Data Processing Specialist at Nielsen, you create and deliver client outputs 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 Operations 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 and drive the convergence of processes and tools
• Providing accurate and timely feedback, 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 and colleagues

Growthdesk is looking for a Data Analytics & AI Product Analyst to join our team to drive campaign performance and measure the impact across various social media platforms.

A cool, sharp, witty and talented person who is interested in digital marketing, obsessed with optimization, love numbers and tech startups in general. We are looking for someone who is a self-starter - doesn’t always need to be told what to do, and can balance time and manage themselves. Successful candidates must have excellent analytical skills, attention to detail, be problem-solvers and is a multi-tasker.

What you will be doing:

• Provide regular internal analytics report on campaign performance (indicators) and able to provide insights and analysis in a clear and concise manner
• Have strong analytical ability to evaluate end to end customer experience across multiple channels and customer touchpoints
• Collaborate with internal teams to optimize user funnels and experience
• Brainstorm new and creative growth strategies (including identification of new trends in digital marketing and evaluate new technologies) adhering to best practice guidelines
• Plan, execute and measure experiments and conversion tests including A/B and multi-variate testing and dynamic ads optimization

Acts as point-of contact between Operations and internal client services / clients to manage E2E operational queries and support to clients. Delivers databases and outputs based on client specifications on time and at expected quality as well as engaging with stakeholders

Responsibilities

• Responsible for the timely provision of data in the highest quality according to the agreed service level and requirements
•  Process defined reports, schedules and processes by adhering to defined procedures, delivery schedules, and SLAs
• Acts as the clients' advocate within NOC by providing feedback on clients' needs, and challenging internal processes to best deliver on those needs
• Provide constructive input to Process Owners / Team Leads / Operations Manager to optimize and improve Operations effectiveness
• Understand the relationship of assigned processes to both upstream and downstream processes to guarantee clean data is delivered by eliminating the need for re-work from any Operations team
• Delivers databases and outputs based on client specifications on time and at expected quality as well as engaging with stakeholders

Summary:

The Data Science team is a leading an internal SMART factory implementation. The selected candidate will be a part of a dynamic team working closely with factory operations, engineering and platform development team to deliver factory of the future. This is a unique opportunity to be part of Western Digital Industry 4.0 journey and change the way technology is used.

Responsibilities

• Work with data scientists, data engineers, software engineers, process & product engineers, design engineers, etc collaboratively to develop new data science solutions that improve productivity and operations metrics.
• Researching and developing scalable Generative-AI solutions using AWS Bedrock platform, Large Language Models (LLM), MCP Server, n8n and prompt engineering for factory/engineering usage
• Deploy models and solutions using DevOps/MLOps tools such as Docker, Kubernetes, MLflow, AWS & Edge to ensure scalability and reproducibility.
• Collaborate in cross-functional teams to integrate AI/ML algorithms, image analytics and software into the Analytics systems (including chatbot/AR/Computer Vision) as well as develop prototypes.
• Design, develop, deploy and maintain Analytics Systems/solutions (Data engineering, Data Science, Chatbot, AI, Generative-AI, MCP, n8n, AR, Computer vision and Visualization/Web App) independently and delivered on time.
• Meeting users, gathering user requirements and communicating requirements to a technical team member for technical solution design, feasibility study & planning.
• Translate User Request into Analytics Solution from a system perspective. Prepare and deliver presentations with data visualizations and business conclusions.
• Constantly learn new front tier technology and creatively apply/deliver solutions to manufacturing operations to meet KPIs.

Get to Know the Team

The Regional Market Insights Team plays an important role in influencing Grab's strategic and operational decisions by offering insights on industry developments and competitive dynamics. We evaluate the landscape through diverse lenses and complement traditional market research and analysis with innovative techniques.

Get to Know the Role

Reporting to our Senior Market Insights Manager, you will lead the strategic market analysis initiatives, transforming complex data into actionable insights that drive business growth and inform critical organizational decisions. You will collaborate with cross-functional teams to uncover market opportunities, analyze competitive dynamics, and deliver compelling insights that shape our strategic direction for GrabMart business.

You will be base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Develop and implement advanced statistical models and machine learning algorithms to analyze market trends, consumer behavior patterns, and competitive dynamics across multiple business segments
• Design and conduct comprehensive market research studies to identify latest opportunities, potential risks, and market gaps that inform strategic planning
• Create compelling data visualizations and executive-ready reports that communicate complex insights to stakeholders at all organizational levels
• Collaborate with cross-functional teams including product, strategy, and operations to translate business problems into data-driven solutions and recommendations
• Mentor and support junior data scientists, promoting a culture of innovation, continuous learning, and analytical excellence
• Develop predictive models and forecasting frameworks to anticipate market trends and consumer preferences, allowing proactive decision-making
• Optimize data collection processes and implement best practices for data management, quality assurance, and analytical workflows
• Stay current with advancements in data science techniques, tools, and methodologies, evaluating their applicability to enhance our market analysis capabilities
• Present findings and recommendations to senior leadership with clarity and strategic context, translating data into business value

Get to know the Team

The Demand Analytics team turns data into growth—strengthening Grab's market leadership, optimizing product and promo performance, unlocking new demand through lifecycle and gamified experiences, scaling cross-vertical incentives and rewards, and partnering with product and business teams to pilot and scale high-ROI initiatives.

Get to know the Role

As a Senior Data Scientist for Demand team, you will be the analytical backbone of our growth strategy. You'll work with Product, Business, and Engineering teams to understand consumer behavior, identify market opportunities, and track the impact of our demand-generation efforts. Your role is to turn massive datasets into a roadmap for sustainable growth and competitive advantage.

You will reporting to our Analytics Manager and base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Identify Strategic Opportunities: Deep-dive into existing data to recommend product ideas that either solidify our current market share or unlock entirely new growth levers.
• Lead Experimentation: Design and propose robust experimentation strategies for new and exploratory features, analyzing results to provide clear "go/no-go" recommendations.
• Leverage AI for Insights: Utilize Generative AI and LLM-based tools to accelerate insight generation, automate root-cause analysis, and build intuitive, natural-language interfaces for complex data inquiries.
• Master Data Storytelling: Use visualization techniques and dashboards to present complex insights to non-technical audiences, influencing regional product roadmaps.
• Develop Scalable Frameworks: Identify recurring demand-side problem statements and build generalized analytical solutions to solve them efficiently at scale.
• Own Data Integrity: Design frontend and backend data specs for new demand features, collaborating with engineering to ensure high-quality data collection.
• Mentor and Role-Model: Support the professional development of junior team members while maintaining high standards of rigor in measurement, experimentation, and analysis.

Get to Know the Team:

The Analytics team's mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what's best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a center of data excellence for Product & Experimentation in a diverse range of tech families. Your role is to guide a data-first approach to product thinking, design controlled experiments, and be objective while evaluating results, all of this while working with stakeholders to evaluate innovative product and business ideas! You will help developers, designers & 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.

Get to Know the Role:

Reporting to the Senior Analytics Manager, you will work closely with different teams within a business line (Product, Business, Engineering, Design, and Data Science) to understand data requirements, identify and track key metrics, and provide data-driven insights. You will also work with stakeholders to evaluate the feasibility of new business/product ideas and provide appropriate recommendations.

This role is based in Petaling Jaya and onsite.

The Critical Tasks You Will Perform

• You will analyze existing data and recommend new product ideas to address impactful customer problems based on business objectives.
• You will identify trends, spot anomalies, and investigate their root causes using data.
• You will utilize your data analysis and visualization skills to present insights and tell a compelling story to a non-technical audience.
• You will collaborate with stakeholders to align on key product metrics and propose experimentation strategies, including A/B testing.
• You will design and manage data specifications for new products, ensuring accurate data collection in collaboration with engineering teams.
• You will mentor junior team members, promote high standards in data handling, and develop scalable frameworks to address recurring problems efficiently.

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 NIQ, 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
• 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

The Integrity team is dedicated to safeguarding our users on Grab. We use our datasets to address multiple challenges, from ensuring safety to preventing fraud. We are involved in the entire data lifecycle, including analyzing user behavior, identifying anomalies, and developing detection and prevention modules for suspicious activities. If you're enthusiastic about solving complex problems that have a direct, real-world impact, we'd love to have you on board!

Get to Know the Role

Reporting to our Analytics Manager in the Integrity team (Trust, Identity & Safety), you will help analyze data to understand user behaviors and identify potential risks on our platform. Your insights will guide strategies to safeguard our diverse user base from multiple types of fraud and risk.

The Critical Tasks You Will Perform

• Analyze large-scale user, partner, and transaction data to identify risk patterns, trends, and anomalies; recommend targeted mitigation strategies.
• Build and iterate data-driven detection (e.g., rules, thresholds, signals/heuristics) and support simulations/impact analysis to balance fraud catch with user friction.
• Create, maintain, and automate dashboards/monitors that track key risk and performance metrics (precision/recall, false positive rates, incident trends, financial impact).
• Conduct statistical analyses and experimentation (e.g., A/B or backtesting) to validate changes, quantify trade-offs, and guide policy/strategy updates.
• Partner with Product, Engineering, Data science and strategy teams to scope problems, align on success metrics, and operationalize solutions.
• Contribute to incident reviews, root-cause analyses, and prevention playbooks; help institutionalize learnings into processes and tooling.
• Leverage AI/LLM tools responsibly to accelerate analysis, documentation, and prototyping.

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 

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 

Get to Know the Team

The Analytics team's mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what's best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a center of data excellence for Product & Experimentation in a diverse range of tech families. Your role is to guide a data-first approach to product thinking, design controlled experiments, and be objective while evaluating results, all of this while working with stakeholders to evaluate innovative product and business ideas!

Get to Know the Role

You will report to the Head of Analytics, and you will work closely with different teams within a business line (Product, Business, Engineering, Design and Data Science) to understand data requirements, identify key metrics, and provide data-driven insights. You will also work with stakeholders to evaluate the feasibility of new business/product ideas and provide appropriate recommendations.

This role is based in Petaling Jaya and onsite.

The Critical Tasks You Will Perform

• You will innovate: Propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
• You will illuminate: Use your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
• You will Influence: Collaborate with stakeholders to define key metrics and design experiments that shape the future of our products.
• You will drive impact: Drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.