Not specified (likely in-office based on location)
5+ years hands-on experience in data analytics
Proficiency in sql and python
Deep understanding of statistical significance
Abbott seeks a Senior Data Analyst for their Lingo division in Alameda, California, focusing on biosensing technology and marketing analytics. The ideal candidate will have extensive experience in data analytics, particularly in eCommerce or retail, and will be responsible for leading various analytical projects to drive marketing strategies
Job Summary
This position works out of the Alameda, CA office in the Lingo division, focusing on biosensing technology that tracks key biomarkers.
The role involves independently designing analyses, developing attribution models, and executing experiments to measure incremental impact across channels.
Abbott offers excellent benefits including free medical coverage, a high employer contribution retirement plan, and tuition reimbursement programs.
Matching Summary
Match Score: 85
Abbott seeks a Senior Data Analyst for their Lingo division in Alameda, California, focusing on biosensing technology and marketing analytics. The ideal candidate will have extensive experience in data analytics, particularly in eCommerce or retail, and will be responsible for leading various analytical projects to drive marketing strategies.
Salary
Base: $100,000.00 – $200,000.00; Bonus/Equity: Not specified; Benefits: Free medical coverage, retirement savings plan, tuition reimbursement
Skills & Requirements
Must-have
5+ years hands-on experience in Data Analytics
Proficiency in SQL and Python
Deep understanding of statistical significance
Experience designing A/B tests and geo-lift studies
Ability to independently lead hypothesis-driven analysis
Nice-to-have
Familiarity with retail media networks like Amazon
Solid understanding of media mix modeling
Working knowledge of Google Ads and Meta Ads
Experience working with data engineers
Exposure to marketing investment frameworks
Key Requirements
Bachelor's degree in Engineering, Data Analytics, or related STEM field
5+ Years hands-on experience in eCommerce or Retail environment