Senior Data Analyst, Product Analytics (Fixed Term 10 Months)

Remotefull timeRemote

senior

$143k–$178k

H1B: no

Omadahealth Senior Data Analyst on Omada Health's Product Analytics team responsible for data architecture, product experimentation, and delivering insights to guide product decisions. Collaborates cross-functionally to improve data quality and integrate AI-driven analytics.

Responsibilities

Your work will directly shape how Omada designs, launches, and iterates on member experiences. You will identify new ways to drive engagement and clinical outcomes, support new products and features and demonstrate the value of existing innovations. Your insights will be critical to the continuous improvement of our programs, processes, and teams—and you will see your analyses turn into real-world product decisions.
A highly motivated, self-driven professional who thrives with autonomy and ownership.
Excited to work closely with product managers, engineers, clinicians, and business stakeholders to tell compelling stories through data.
Energized by solving complex data challenges and building scalable solutions that others rely on every day.

Qualification

Ability to analyze various data setsExcellent problem solvingBachelor’s degree in Computer ScienceSkillsKnowledge of population health metrics

Required

The ideal candidate should have the following Qualifications, Experience, and Education:
At least 2+ years of deep expertise in product or mobile analytics, including user behavior analysis, ideally 7+ years of experience
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
Skills: Data Analysis and Visualization, Amplitude, Tableau, SQL, ETL, Databases, Data model and Excel.