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Senior Data Analyst (Product & Business Analytics)

torentify • United State
Remote
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Lead data-driven decision-making by analyzing complex datasets to optimize product performance, program outcomes, and business operations. Define KPIs, conduct advanced SQL-based analyses in Databricks, and translate insights into actionable recommendations for cross-functional stakeholders. Collaborate with Product, Operations, and Engineering teams to improve metrics, data quality, and strategic initiatives.

Key Highlights
Fully remote, full-time role based in the United States
Ownership of analytical questions, KPI definition, and root-cause analysis for business impact
Advanced SQL and Databricks expertise required for large-scale data analysis
Key Responsibilities
Partner with Product and business leaders to define KPIs, metrics, and measurement frameworks for products, programs, and strategic initiatives
Analyze product utilization, adoption, engagement, financial performance, and member behavior to drive business outcomes
Conduct in-depth trend, anomaly, and root-cause analyses using advanced SQL and Databricks on large datasets
Develop and maintain ongoing measurement strategies to track performance over time and validate analytical datasets
Collaborate with Analytics Engineering and Data Engineering to improve data quality, availability, and modeling
Translate analytical findings into clear business recommendations and present insights to stakeholders via visualizations and presentations
Technical Skills Required
SQL Databricks Data Analysis
Benefits & Perks
Fully remote work arrangement
Meaningful operational and business impact
Collaboration with Product and business leadership

Job Description

About the Role

We are seeking a Senior Data Analyst to turn complex data into actionable insights that improve product performance, program outcomes, operational effectiveness, and business decisions. This is a fully remote, full-time position open to candidates in the United States.

You’ll work closely with Product, Operations, Client Success, Analytics Engineering, Data Engineering, and business leadership to understand performance, investigate trends, and establish reliable ways to measure success. Using advanced SQL and Databricks, you’ll analyze large datasets, identify root causes behind business changes, and present clear recommendations that help stakeholders make informed decisions.

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