Salary
💰 $133,000 - $164,900 per year
About the role
- Work collaboratively with the Member and Product Operations teams to define and analyze metrics to track the success of the overall business with a primary focus on member experience, service levels, and cross-functional business performance
- Improve business understanding of our members, our products, and our profitability through data analysis, data visualization, and storytelling techniques
- Drive cross-functional and enterprise-wide solutions, providing thought leadership within and beyond working group
- Convey business insights derived from analysis and dashboards to influence decisions/outcomes by senior leadership
- Design dashboards to monitor KPIs and business metrics in a readable and digestible format that allows quick insights into performance
- Frame business problems in analytical language and converting business requirements into datasets, analyses, models, and dashboards
- Interpret data with business context to discover patterns and identify trends that support growth and increase efficiencies, implementing enhancements to address control gaps
- Build and automate tools to surface key data to stakeholders across a broad range of data literacy levels
- Provide ad hoc analysis as needed across a diverse set of teams and needs to support existing customers, future sales, and strategic business decisions
- Work cross-functionally with the Data Engineering, Analytics Engineering and Data Science teams
Requirements
- 5+ years in data analytics
- Bachelor’s degree in a quantitative field such as Accounting, Economics, Engineering, Finance, Math, Statistics or similar
- 2+ years of experience with SQL data manipulation, using an ETL tool such as dbt, and experience with building models in Excel
- Results-oriented mindset with an intense focus on achieving both short and long-term goals
- A proven track record of problem-solving based on analytics to support business recommendations
- Excellent verbal and written communication skills: the ability to present complex data in a digestible format to stakeholders of all data literacy levels
- Comfortable creating dashboards in a BI framework such as Sigma, Snowflake, Metabase or comparable tools
- Ability to handle multiple projects simultaneously: superb time management and prioritization ability
- Ability to work independently and autonomously, as well as part of a team
- Demonstrating statistical modeling, applied mathematics or STEM; R or Python
- Experience in a hyper-growth company and consulting