Digital Product Data Analyst
Role Overview
The Digital Product Data Analyst uses analytics to improve digital finance product performance, adoption, and business outcomes.
Partners with Product Owners, Finance, Technology, and business stakeholders across the product lifecycle.
Key Skills for This Role
Full Job Posting
Role overview
The Digital Product Data Analyst uses analytics to improve digital finance product performance, adoption, and business outcomes.
Partners with Product Owners, Finance, Technology, and business stakeholders across the product lifecycle.
Product analytics and insights
- Analyze product usage, customer behavior, and performance to find trends and improvement opportunities.
- Develop KPIs and success measures for adoption, engagement, and business value.
- Create actionable dashboards and reports, monitor performance, and recommend enhancements.
Analysis and business partnership
- Collect, validate, and analyze data from multiple sources; maintain accuracy, integrity, and consistency.
- Produce management reporting and ad hoc analysis, translating findings into clear recommendations.
- Define measurement frameworks with Product Owners and support prioritization with data-driven insights.
- Evaluate product performance and ROI with Finance and Technology and contribute to roadmaps.
Governance and improvement
- Support governance, quality, and reporting standards and identify automation and analytics improvements.
- Promote data visualization and measurement best practices and assist with self-service reporting solutions.
Qualifications and skills
- Bachelor's degree in Data Analytics, Finance, Economics, Business, Information Systems, Mathematics, Statistics, or a related discipline.
- 3–7 years in Data Analytics, Product Analytics, Business Intelligence, Finance Analytics, or a related field.
- Strong analytical and problem-solving skills and experience with large datasets and digital products, technology platforms, or transformation initiatives.
- Advanced Excel and data visualization skills; experience with Power BI, Tableau, Looker, or similar platforms; working SQL knowledge.
- Strong stakeholder management and communication skills. Agile product development knowledge is preferred.
Preferred credentials
- Relevant analytics, data visualization, Power BI, Tableau, or SQL certifications are desirable.
Workplace
- The posting states that opportunities require four days in the office.
Compensation
- Salary range is USD $100,000–$125,000, dependent on skills, experience, and qualifications.
Additional information
- The employer describes an expanding global business and competitive remuneration.
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