$70K - 90K a year
Develop and maintain data pipelines, automate reporting, analyze large datasets, ensure data quality, and create data literacy materials.
Bachelor's degree, 1-2 years data analysis experience, strong SQL, scripting language (Python or R), BI tools (Looker, Tableau), advanced Excel, advertising tech is a plus.
Job Description: • Develop optimized end-to-end data pipelines to support data-driven decision-making processes across the organization. • Collaborate with data engineering teams and FreeWheel data consumers to monitor data model relevancy as products and stakeholder data needs evolve. • Design automated reporting solutions to track business metrics and overall business health using BI tools like Looker for data consumers. • Conduct regular analysis of large-scale data sets to uncover opportunities to improve overall sales, inventory management, and yield strategies. • Maintain data quality and cleanliness for consistent and accurate reporting. • Create data literacy documentation and training materials to empower users to leverage self-service reporting tools at their disposal. Requirements: • Bachelor's degree in quantitative field preferred. • 1-2 years of experience using data and analysis to drive business outcomes. • Strong knowledge of SQL. • Experience with a scripting language (Python or R). • Experience with Visualization BI tools (Looker and Tableau). • Advanced Excel Skills. • Experience in advertising technology is a plus. Benefits: • Health insurance • 401(k) matching • Flexible working hours • Paid time off • Remote work options
This job posting was last updated on 10/20/2025