Sr. Data Analyst, Marketing

Employer Industry: Health and Wellness Technology

• Competitive salary and 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) and 401k benefits with employer matching contributions
• Opportunity to work in a collaborative and innovative environment with a focus on personal and professional development
• Chance to make a significant impact on business growth through data-driven insights

• 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 critical to business stakeholder decision-making
• Design, execute, and analyze A/B and incrementality tests across marketing campaigns to drive strategic decision-making

• 5-7+ years of experience as an analyst, writing complex queries, developing in business intelligence tools, performing analysis in Python and/or R, 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; ability to understand and author complex SQL queries and optimize query performance
• Experience with DBT for data modeling and orchestration
• Familiarity with statistical experimentation and A/B testing principles

• Experience using Looker for business intelligence and developing a semantic layer in LookML
• Advanced Python skills for data manipulation, analysis, and modeling, with experience using Jupyter notebooks, pandas, scikit-learn, etc.
• Understanding of marketing business domain applications such as multi-touch attribution (MTA) and Marketing Mix Modeling (MMM)
• Experience with website analytics (e.g. Amplitude, Google Analytics) and app analytics tools (e.g. Branch, Apps Flyer)

We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all.