Target
Sr. Manager, Data Analytics – Experimentation & Product Analytics
$115K–$206K
1000 Nicollet Mall, Minneapolis,MN 55403-2542 · Remote or Hybrid · Manager · Full-time · Posted Oct 28, 2026
- Experience
- Minimum 8 years in a relevant analytics or data science field, including at least 2 years of people management.
- Education
- Bachelor’s or master’s degree in computer science, Statistics, Applied Mathematics, Data Science, Information Technology, or equivalent work experience.
About the job
Leads a team delivering experimentation and product analytics, using rigorous measurement and AI/ML to improve digital experiences and inform product and business decisions.
What you'll do
- Lead end-to-end experimentation, product analytics, and measurement of digital initiatives; build scalable experimentation frameworks.
- Partner with stakeholders to identify opportunities, define metrics, prioritize work, and turn findings into recommendations.
- Develop analysts and enable self-service experimentation and analytics across the organization.
What they ask for
- Bachelor’s or master’s degree in a listed quantitative or technical field, or equivalent work experience.
- At least 8 years in advanced analytics, experimentation, product analytics, or data science, including at least 2 years of people management.
- Expertise in experimentation and advanced statistical methods, including experimental design, causal inference, Bayesian methods, and regression modeling.
- Experience applying AI/ML and Generative AI to analytics workflows; advanced proficiency in SQL, Python, or R.
Nice to have
- Experience in Retail, Digital Commerce, Merchandising, Marketing, or Digital Product Experimentation.
- Familiarity with experimentation platforms and data visualization tools such as Domo or Power BI.
Pay
USD $115,000.00 - $206,000.00 (base salary)
Tools
SQL, Python, R, GCP, BigQuery, Postgres, Domo, Power BI
AI focus
Use AI/ML and Generative AI to automate anomaly detection, experiment monitoring, root-cause analysis, and analytical workflows, and accelerate insight generation.
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