Salary
💰 $118,000 - $162,000 per year
Tech Stack
BigQueryPythonSQLSwitchingTableau
About the role
- Build data models, reporting and dashboards to accelerate company growth and support IPO readiness
- Partner cross-functionally with Product Engineering, AI Research, Content, Sales, Revenue Operations, Marketing, Finance to tackle strategic, operational, and technical initiatives
- Analyze business performance and develop metrics, reports, and dashboards that inform business strategy and drive action
- Conduct data deep-diving and open-ended exploratory analysis to understand drivers of key trends and outcomes and uncover actionable insights
- Exercise creativity to find hidden patterns in data and present discoveries through compelling dashboards and storytelling with data
- Support the “single source of truth” by creating and maintaining data models and identifying and correcting data gaps and inconsistencies
- Collaborate with data engineering to ensure seamless data integration, pipeline development, and data quality for analytics
- Provide peer review and mentorship to maintain high standards of quality and accuracy across the team
- Onboard new technical and business users onto data systems, tools, and business intelligence approaches
- Roll out analytics systems and processes across the organization and identify opportunities for improved tooling, data systems, and processes
Requirements
- 8+ years of experience in data analytics, which may include formal education
- 3+ years of demonstrated experience developing and validating SQL queries to support analyses, reporting, and dashboards
- 2+ years of applied experience in data visualization software such as Tableau, Looker, PowerBl, or another data visualization tool
- Experience collaborating closely with data engineering teams, ensuring seamless data integration, pipeline development, and maintaining data quality for analytical purposes
- Experience collaborating deeply across an organization to understand department process, needs, and goals, and building custom analysis/reporting to match
- Capable of seamlessly switching “altitude” between specific technical questions and broad org-level KPIs/strategies
- Possesses a growth mindset, with the passion to be challenged, learn from setbacks, and apply those lessons to drive business impact
- Preferred: Experience in the SaaS industry or working with subscription revenue business models
- Preferred: Knowledge of version control systems, such as GitHub, for managing and collaborating on data projects
- Preferred: Experience with Python for programmatic data analysis
- Preferred: Experience with data modeling tools (LookML, dbt, Dataform)
- Familiarity with the data stack used by the team: Fivetran, Stitch, dbt, BigQuery, Tableau