AVP, Data and Analytics

Responsibilities: Own, develop and evangelize data-driven thinking and analysis across the organization. Sit in the data team and be the primary point-of-contact for all analytical needs. Analyze data, respond to client requests, and turn insights into action. Understand complex business problems, scope projects, identify operational bottlenecks, optimize workflows, and communicate findings across all levels of the organization. Develop dashboards for various business teams, charting key metrics and extracting data-driven insights. Write ad hoc scripts in Python and SQL that extract, transform, validate, and aggregate data. Serve as the primary point-of-contact for all business teams (including answering technical questions, serving client requests, troubleshooting suspect data, and spearheading new analyses). Grow data insights into concrete execution plans by scoping requirements, feasibility, cost-benefit, governance, dependencies, telemetry, and adoption. Evangelize best practices, data-oriented thinking, knowledge sharing, and workflow optimization. Construct data-driven experiments, evaluate statistical models, and regularly present findings to department heads.

Salary $130,000 to $180,000/year

Requirements: Master's degree in Computer Science, Data Analytics or a related quantitative field and two years of experience in the job offered or two years of experience data collection and manipulation. Experience must include two years each of the following: open-source programming languages Python and R; designing data visualizations utilizing business intelligence tools such as Tableau, Looker, PowerBI, or QuickSight; requirements gathering; OLAP data modeling; data reconciliation; and data pipeline failures. Experience may be gained concurrently.