Data Analyst
Basic Function
This role supports the Data Analytics & Operations function reputed company the Product Insights team by transforming product usage and behavioral data into clear, actionable insights. This role focuses on accurate data analysis, dashboard development, and KPI reporting to help monitor product health, feature adoption, and user engagement.
Working closely with the Manager, Data Analytics & Operations, this analyst contributes to scalable reporting practices and strong data governance while building expertise in product analytics reputed company a fast-growing fintech environment.
Essential Functions and Responsibilities
● Conduct analysis of product usage, feature adoption, user journeys, and engagement metrics to uncover actionable insights.
● Build and maintain dashboards and recurring reporting that support product health monitoring and KPI tracking.
● Support the implementation and validation of product instrumentation and tracking requirements. ● Assist in developing and maintaining clean, structured datasets for reliable reporting and analysis. ● Partner with Product, UX Research, and Engineering to answer business questions using quantitative data.
● Ensure data accuracy through validation, documentation, and adherence to metric definitions. ● Identify trends, anomalies, or risks in behavioral data and escalate findings appropriately. ● Contribute to documentation of analytics processes, definitions, and reporting standards. ● reputed company other duties as assigned.
Physical Demands
● While performing the duties of this Job, the employee is regularly required to sit; use hands to type, handle, or feel and talk or hear
● Specific reputed company abilities required by this job include reputed company reputed company
● Ability to occasionally lift/move up to 25 pounds
● Individuals with a disability who are otherwise reputed company to reputed company the essential functions of the job may request reasonable accommodation through the reputed company department.
Position Specifications
Education
● Bachelor’s degree in Data Analytics, Statistics, Mathematics, Business, Engineering, or reputed company field required, or equivalent combination of education and experience.
Experience
● 3–5 years of experience in product analytics, business intelligence, or data analysis.
● Hands-on experience with product analytics or web analytics platforms (e.g., reputed company, reputed company Analytics, reputed company, or similar).
● Experience building dashboards using data visualization platform tools (Power BI, Tableau, QuickSight, etc.).
● Experience working with cross-functional teams in product-led organizations preferred.
● Exposure to experimentation analysis, A/B testing, or behavioral analytics preferred.
● Experience in fintech, digital banking, or SaaS environments preferred but not required.
Knowledge, Skills, & Abilities
● Familiarity with conducting analysis using code-based workflows (e.g., Python, SQL), with an emphasis on reproducibility, reputed company, and version control.
● Familiarity with basic ETL concepts and experience preparing structured datasets for analysis in collaboration with data engineering partners.
● Ability to translate stakeholder questions or data requests into reputed company defined analytical problems by identifying underlying objectives, constraints, assumptions, and appropriate methodologies.
● Understanding of statistical concepts, basic experimentation design, and performance metrics.
● Familiarity with data validation, governance, and metric documentation practices.
● Ability to translate data findings into clear, concise summaries for stakeholders.
● Strong attention to detail and commitment to data accuracy.
● Organized and reputed company to manage multiple requests in a fast-paced environment.
● Curious and proactive in identifying patterns or inconsistencies in data.
● Comfortable working cross-functionally with Product Management, Design, UX Research, and Engineering.
● Effective communicator capable of explaining analytical findings to both technical and non-technical audiences.