Staff Data Analyst
$169,541–$202,694 year
On-site · Long Island City, New York, United States
Job Summary
Engineer advanced data pipelines and build retention analytics datasets using SQL and Python, leveraging the medallion data architecture to integrate billing, service, and interaction data into retention- and care-ready structures. Track and analyze retention KPIs (churn, ARPU) with segmentation by market, product, revenue tier, and acquisition path; automate Tableau dashboards and executive scorecards; model CLV and churn risk to prioritize retention strategies; analyze customer care operations, service efficiency, and field activity to surface inefficiencies and ARPU erosion risks. Collaborate with Finance, Retention, Care, and Product leadership to design and monitor incentive structures aligned with churn-reduction goals; mentor analysts to uphold best practices in SQL, Python, Tableau, and statistical modeling.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Management of Technology, Engineering, or related field
- 5+ years of experience with building scalable cloud data pipelines using advanced SQL and DBT; create and maintain dynamic retention KPIs driven by behavioral signals; develop Python solutions to integrate multi-source data, automate analytics workflows; lead customer analytics initiatives using predictive modeling and segmentation to identify attrition drivers; conduct campaign and pricing analytics to evaluate customer outcomes, ARPU impact, and ROI
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