Digital Product Data Analyst

Overview

The Digital Product Data Analyst uses data and analytics to drive product performance, user adoption and business outcomes across digital finance products and platforms, partnering with Product Owners, Finance, Technology and Business stakeholders.

What you'll do

• Analyze product usage, customer behavior and performance data to identify trends, opportunities and areas for improvement.
• Develop KPIs and success metrics to measure product adoption, engagement and business value.
• Create dashboards and reports that provide actionable insights to product and business stakeholders.
• Monitor product performance and proactively recommend enhancements.
• Collect, validate and analyze data from multiple sources to support product strategy and decision-making.
• Ensure data accuracy, integrity and consistency across reporting environments.
• Produce regular management reporting and ad hoc analysis to support business priorities.
• Translate complex data findings into clear recommendations for non-technical audiences.
• Collaborate with Product Owners to define measurement frameworks for new products, features and releases.
• Support prioritization decisions through data-driven insights and business case analysis.
• Partner with Finance and Technology teams to evaluate product performance and return on investment.
• Contribute to product roadmaps by identifying user needs and improvement opportunities.
• Support data governance, quality and reporting standards.
• Identify opportunities to improve reporting automation and analytical capabilities.
• Promote best practices in data visualization, analytics and performance measurement.
• Assist in the development of self-service reporting solutions.

What you'll need

• Bachelor's degree in Data Analytics, Finance, Economics, Business, Information Systems, Mathematics, Statistics or a related discipline.
• 3-7 years of experience in Data Analytics, Product Analytics, Business Intelligence, Finance Analytics or related fields.
• Strong analytical and problem-solving capabilities with experience working with large datasets.
• Experience supporting digital products, technology platforms or transformation initiatives.
• Advanced proficiency in Excel and data visualization tools.
• Experience with Power BI, Tableau, Looker or similar reporting platforms.
• Working knowledge of SQL and data analysis techniques.
• Strong stakeholder management and communication skills.

Nice to have

• Relevant certifications in Analytics, Data Visualization, Power BI, Tableau or SQL.
• Understanding of Agile product development environments.

Details

• Four (4) days in office per week.