Data Analyst, Marketing

Data Analyst, Marketing

​​About the Role:

As an Analyst on the Marketing Analytics team at Hims & Hers, you would be responsible for analyzing marketing campaign performance, implementing measurement and attribution strategies, and delivering insights and recommendations around business growth drivers. You will partner cross-functionally with Engineering, Product, and Marketing to drive acquisition and customer value growth for the business.

You Will:

  • Analyze detailed marketing campaign performance, customer data, and business growth levers to identify insights and tactical recommendations
  • Investigate the root causes of data anomalies and trends
  • Present key findings and recommendations to a wide range of audiences
  • Develop and automate dashboards and reporting that are critical to business stakeholder decision-making
  • Contribute to marketing attribution models and measurement initiatives such as test planning and design
  • Enable and evangelize self-service analytics through which we empower stakeholders to explore data and perform high-level analysis

You Have:

  • 1-3+ years experience as an analyst, writing complex queries, visualizing results, and delivering insights
  • Bachelor's degree in Business Administration, Marketing, Computer Science, Engineering, or related field, or relevant years of work experience
  • Strong SQL skills are a requirement; must be able to understand and author complex SQL queries, understand database schemas, and optimize query performance
  • Hands-on experience working with a modern analytics tech stack spanning comparable tools across the following categories:
    • Business intelligence/reporting tools: (Looker, Tableau, Mode, etc.)
    • Data warehouses: (Google BigQuery, AWS, Snowflake, etc.)
    • Scheduling or orchestration: (dbt, Airflow, etc.)
  • An understanding of the marketing business domain, particularly applications such as conversion lift testing, multi-touch attribution, and Marketing Mix Modeling (MMM)
  • Experience with web analytics (e.g. Amplitude, Google Analytics, etc.) and app analytics tools (e.g. Branch, AppsFlyer, etc.)
  • Familiarity with statistical experimentation and A/B testing principles
  • Python proficiency preferred: familiarity with Jupyter notebooks, pandas, scikit-learn, etc.
  • Results-oriented with strong project management and communications skills

Our Benefits (there are more but here are some highlights):

  • Competitive salary & equity compensation for full-time roles
  • Unlimited PTO, company holidays, and quarterly mental health days
  • Comprehensive health benefits including medical, dental & vision, and parental leave
  • Employee Stock Purchase Program (ESPP)
  • Employee discounts on hims & hers & Apostrophe online products
  • 401k benefits with employer matching contribution
  • Offsite team retreats

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