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hims & hers · 3 weeks ago

Sr. Data Analyst, Marketing

United States

Full-time

Remote

Senior Level

$120K/yr - $155K/yr

5+ years exp

Hims & Hers is a leading health and wellness platform focused on delivering accessible and personalized healthcare. The Senior Data Analyst in Marketing will build the infrastructure for analyzing marketing campaign performance, optimize data models, and provide insights to drive business growth.

Health CareLifestyleMen'sWellnessWomen's

Responsibilities

Serve as a technical expert and end-to-end owner on marketing data sources, analytics infrastructure, data models, and analysis and measurement methodologies

Optimize complex data models that unify data across marketing channels and apply complex attribution models

Investigate the root causes of data anomalies and trends

Develop and automate dashboards and reporting that are critical to business stakeholder decision-making

Develop, maintain, and scale in-house multi-touch attribution (MTA) models and media mix models (MMM)

Design, execute. and analyze A/B and incrementality tests across marketing campaigns to drive strategic decision-making

Present complex topics to a wide range of audiences

Enable and evangelize self-service analytics through which we empower stakeholders to explore data and perform high-level analysis

Qualification

SQLPythonData modelingMarketing analyticsLookerDBTA/B testingProject managementCommunication skills

Required

5-7+ years of experience as an analyst, writing complex queries, developing in business intelligence tools, performing analysis in Python and/or R, summarizing insights, and communicating with senior stakeholders

Bachelor's degree in Business, Marketing, Computer Science, Engineering, or related field, or relevant years of work experience

Strong SQL and Python skills are a requirement; must be able to understand and author complex SQL queries, design database schemas, and optimize query performance while minimizing costs

Experience with DBT for data modeling and orchestration

Advanced Python skills for data manipulation, analysis, and modeling: experience using Jupyter notebooks, pandas, scikit-learn, etc

An understanding of the marketing business domain, particularly applications such as multi-touch attribution (MTA), and Marketing Mix Modeling (MMM)

Experience with website 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

Results-oriented with strong project management and communications skills