Data Analyst

• Partner closely with product and engineering teams to support end-to-end A/B experimentation including experimental design, power analysis, metric definition, data QA, and monitoring
• Communicate complex analyses and experiment results to a diverse range of business stakeholders, from operational teams to executive audiences, through both oral presentations and written reports
• Collaborate with Data Science to productionalize ML models used to proactively identify and mitigate subscriber fraud and reduce involuntary churn
• Create and maintain operational dashboards in Looker and Tableau to understand performance over time, enable efficient exploratory analysis, and equip partners with self-serve tools
• Understand the systems and business processes that populate critical systems with data and work to translate complex business questions into technical requirements.

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