Senior Data Analyst
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Job Description
Senior Data Analyst creating metrics and models for data-driven recruitment marketing solutions. Empowering employers with insights and analytics to optimize hiring success.
Responsibilities:
- Build client-facing metrics using labor market, job marketplace, and brand data
- Own all stages of the data products–cleaning data, building analytics, developing Looker dashboards, releasing data into production, and monitoring health
- Correlate client data with external market conditions to explain why certain jobs succeed or struggle
- Design and implement statistical models to inform business decisions
- Turn those metrics into production models (SQL, LookML, and pipelines) that run every day without breaking
- Partner with product, data science and engineering to define key metrics and shape strategy
- Collaborate with engineering to make sure your logic is correctly implemented in Looker and downstream analytics
- Document your logic clearly so engineering can productionalize it without question marks and clients can understand it
- Build and maintain data quality checks so bad data doesn’t poison our metrics
- Provide data-driven insights to product managers, marketing, and engineering teams, enabling them to make informed decisions to optimize both the job marketplace and the user experience
- Ensure data accuracy and integrity by working with engineering and BI teams to maintain the quality of data pipelines
Requirements:
- Bachelor’s degree in Statistics, Data Science, Economics, Computer Science, or a related field
- 3-5 years of experience in data analytics or business intelligence, with strong proficiency in Looker, SQL, and Python/R
- Prefer experience in dbt and snowflake
- Strong Looker experience: LookML, modeling layers, dashboards, and optimizing for scale
- Strong knowledge of SQL and experience working with large datasets
- Ability to distill large amounts of data into actionable insights
- Strong analytical skills with the ability to connect disparate datasets into clear correlations
- Experience building complex statistical models with Python or R
- Able to explain complex ideas into clear, simple language
- Forward-looking mindset — you’re always thinking about what should be measured next.
Benefits:
- medical
- dental
- vision
- paid time off
- parental leave
- 401(k)
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