Senior Data Analyst, Growth Marketing Analytics

Summary

Join Omada Health's Member Growth Analytics team and leverage data to enhance marketing outreach. You will own data architecture, reporting, and analysis to support marketing campaigns across various channels. Responsibilities include delivering key performance insights, conducting A/B testing, developing Tableau dashboards, and collaborating with cross-functional teams. The ideal candidate possesses 5+ years of marketing analytics expertise, expert SQL skills, and experience with A/B testing. A Bachelor's degree in a relevant field is required. Omada offers a competitive salary, generous bonus, equity grants, remote work, flexible vacation, and comprehensive benefits.

Requirements

• At least 5+ years of deep expertise in marketing analytics
• Expert SQL skills with strong experience in designing and developing new queries and reports
• Experience with A/B testing and statistical measurement
• Ability to analyze various data sets, and develop succinct key metrics
• Strong relational database design/development skills
• Excellent problem solving, interpersonal, and communication skills
• Track record of working on multiple projects under aggressive deadlines
• Bachelor’s degree in Computer Science, Engineering, or Mathematics

Responsibilities

• Own the data architecture, data mapping and reporting to support Growth Marketing needs for campaign and channel insights
• Deliver key performance insights to support the development of member marketing campaigns across email, direct mail, digital, and client-led channels
• Own data tagging, test sizing and statistical analysis for A/B and multivariate campaign and creative tests
• Develop and support well-designed Tableau dashboards (or similar BI tools)
• Work closely with various data teams to improve data quality and standardize reporting
• Define operational processes and support system enhancements that drive analytics and reporting support at scale
• Collaborate across multiple teams including analytics, data science, data engineering and architecture, clinical, and product
• Explore and integrate applications of AI into product analytics use cases

Preferred Qualifications

• Knowledge of additional coding languages (Python or R)
• Advanced experience in data visualization
• Background in healthcare and experience with PHI
• Knowledge of population health metrics

Benefits

• Competitive salary with generous annual cash bonus
• Equity grants
• Remote first work from home culture
• Flexible vacation to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions