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Data Analyst

Data Analyst transforming large datasets into actionable business insights using SQL, Spark, and analytics tools. Collaborates with data scientists, PMs, and GTM teams to build dashboards and maintain data quality standards.

120k – 172kOakland, CAData AnalyticsHybridEntry level

About the role

In your role, you'll...

  • Familiarize yourself with our technologies, workflows, and codebase through extensive training and product certification.
  • Transform large datasets into actionable metrics and attributes using SQL and Spark.
  • Explore and develop the right repeatable methods for mining insight from large unstructured datasets, leveraging a variety of tools spanning Jupyter notebooks, Looker, and Heap.
  • Design and surface metrics that are faithful and precise, while helping the business understand how to drive those metrics.
  • Build out the data context layer (schemas, metric definitions, institutional knowledge, etc.) to power agentic analytics workflows.
  • Advise business teams on how to implement scalable, robust telemetry and analytics tracking.

About you

  • A Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related technical discipline.
  • Up to 4 years of experience (including internships) turning large datasets into actionable business insights.
  • Experience and proficiency wrangling data using SQL.
  • Experience and proficiency in applying scientific programming languages (Python, R, Julia, etc.) to data analysis problems.
  • Understanding of the fundamentals of relational databases and data modeling.
  • Strong foundation of statistical methods and probability theory.
  • Excellent communication and presentation skills, especially in translating technical information to non-technical audiences.

Pluses

  • Experience working with common open source analytics tools such as Airflow or DBT.
  • Experience working with distributed processing technologies such as Spark or MapReduce.
  • Experience applying machine learning or statistical modeling methods to real world problems.
  • Familiar with Git or a similar DVCS.

Benefits

  • The expected salary range for this role is between $120,000 - $172,000.
  • Equity program
  • 401(k) retirement plan with company matching
  • Health, dental, and vision
  • Flexible Spending Accounts for health and dependent care expenses
  • Paid parental leave and approximately 10 days (80 hours) per year of sick leave
  • Seventeen paid vacation days plus 11 federal holidays
  • Membership to Modern Health to help employees prioritize mental health and wellness
  • Annual allocation for Learning & Development opportunities and applicable professional membership dues
  • Company-sponsored life and disability insurance

Skills

SQLPythonRJuliaSparkLookerHeapJupyterAirflowdbtGitRelational DatabasesData ModelingStatistical MethodsMachine Learning

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