Senior Data Analyst, Growth Marketing Analytics

Omada Health

1h•$136,400 - $178,300•Remote

About The Position

Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time. Job overview The Member Growth Analytics team is responsible for developing our portfolio of reports and data insights that support the Growth Marketing team seeking to enhance and improve our outreach efforts. Using data spanning campaign engagement, landing page and application interactions, channel insights and test results, you will partner our marketing team to identify and solve the biggest challenges across Omada’s 1.5k customers and 600k members.

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

Nice To Haves

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

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