Senior Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with Product and business leaders to establish KPIs and measurement frameworks for various products, programs, and strategic initiatives.

• Evaluate product performance, utilization, adoption, engagement, financial outcomes, and member behavior.

• Create analytical frameworks to interpret past events, understand their causes, and determine subsequent actions.

• Conduct in-depth analyses to discover trends, identify opportunities, anomalies, and factors influencing business performance.

• Assess new product capabilities, program modifications, and business initiatives.

• Formulate ongoing measurement strategies to monitor performance over time.

• Write advanced SQL queries within Databricks to analyze extensive and complex datasets.

• Integrate data from various sources to create holistic views of customers, members, products, and programs.

• Execute exploratory analysis, segmentation, cohort analysis, trend analysis, and root-cause investigations.

• Interpret findings into business implications and provide clear recommendations.

• Establish consistent business metrics, KPIs, and analytical definitions in collaboration with Analytics Engineering and stakeholders.

• Identify and resolve issues related to data quality, availability, and modeling with engineering teams.

• Validate analytical datasets and contribute to the requirements for reusable Gold-layer datasets and analytical data products.

• Develop regular analytical views and reports for product and business teams.

• Assist in external customer reporting and analysis.

• Transform complex findings into presentations, visualizations, and recommendations suitable for both technical and non-technical audiences.

• Provide analytical support for business reviews, product evaluations, client discussions, and strategic planning.

• Act as an analytical partner to Product Managers and business leaders.

• Proactively seek analytical opportunities and challenge existing assumptions.

• Clearly communicate findings, limitations, assumptions, and uncertainties.

⛳️ Requirements

• Over 5 years of experience in data analytics, product analytics, business analytics, or a related field.

• Proficient in advanced SQL and experienced in working with large, complex datasets.

• Extensive experience with Databricks or similar modern cloud data platforms.

• Proven track record in supporting product, program, or business performance analytics.

• Strong knowledge of segmentation, cohort analysis, trend analysis, variance analysis, and root-cause analysis.

• Experience in developing KPIs, metrics, and measurement frameworks.

• Ability to convert ambiguous business questions into structured analytical methodologies.

• Excellent data validation and problem-solving capabilities.

• Experience in effectively communicating analytical findings and recommendations to business and product stakeholders.

• Ability to collaborate effectively across Product, Engineering, Operations, and business teams.

🏝️ Benefits

• Opportunities for career advancement within the organization.

• A rewarding work environment.

• The chance to contribute to providing premier service to both internal and external customers.