WHAT IS A PRODUCT DATA ANALYST ?
The Product Innovation and Optimisation team focus on customer experience and the design, test and implementation of new products. As the Product Data Analyst you will provide data-driven insights to inform and drive improvements across our business. This is an exciting cross functional role with excellent development opportunities and the chance to engage in complex commercial and analytical business questions. The data and insights from your work will lead directly to business outcomes and you will be a central part of improving our product and customer experience!
Need-to-Know Overview of a Product Data Analyst
1. Product Data Analyst Duties and Roles
- Contribute to the product & customer analytics roadmap, balancing regular reporting, automation and strategic projects/ analysis
- Use data extraction programming languages and visualization tools (SQL, Tableau, Excel) to extract the data and provide accurate reporting
- Use analytical and statistical tools and models (Linear Optimization, A/B testing, regression analysis, statistical inference)
- Provide business-oriented insights and data-driven guidance for decision making, as well as to understand & forecast product performance and customer behaviour
- Analyse business processes and use data to make recommendations that lead directly to process improvements and more informed decision making
- Support in the prioritisation of projects by scoping the feasibility, accuracy levels and complexity of all data-related requests
- Extract, use and manipulate data to develop and back up business cases in terms of profitability and customer satisfaction
- Be responsible for implementing functional & creative solutions in terms of reporting and data management that align with the product portfolio expansion
- Provide training on data extraction and database management while onboarding new team members
- Take a logical approach to problem-solving
- Support and challenge Project Managers in the ideation, implementation and review of products from a data analytics perspective
- Work in a cross-functional team supporting Product, Marketing, Ops, Culinary, Finance and other departments
2. Product Data Analyst Qualifications and Requirements
- A Degree from a top-tier university (preferably in Business, Data, Computer Engineering, Science or Economics)
- 2+ years of full-time work experience in consulting, data or commercial roles
- A strong analytical and commercial mindset
- Detailed knowledge of analytical tools and models (Linear Optimization, A/B testing, regression analysis) and the ability to mobilize them to answer broad business questions in a logical approach
- A strong knowledge of basic querying languages (SQL), database management and data visualization softwares (Tableau, PowerBI)
- A strong knowledge of Excel (functions, pivot tables, data visualization)
- The ability to manage a project from start to finish and deliver on time
- Excellent interpersonal communication skills with both technical and non-technical individuals
- Highly motivated by a fast-paced culture of continuous feedback, growth and healthy debate
- Able to conceptualize complex business questions and processes into simple analytical models
- Able to interpret data and provide key commercial insights
- Proactive, confident and able to quickly build a network of key stakeholders
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Editorial operations are managed by Thanh Huyen, Managing Editor, with research direction and final oversight by Lam Nguyen, Founder & Editorial Lead. Content is periodically reviewed to reflect observable labor market changes.