
Sr. Manager, Data Analytics – Experimentation & Product Analytics(Remote Or Hybrid)
Minneapolis, MN · FlexibleJob$115–206K/yrSeen 3 days agoSeen in employer's feed 3 days ago
Most applications go out cold — see where you stand first. No sign-up to start.
Watch jobs like this. New roles like this one near Minneapolis, MN, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
The Sr. Manager, Data Analytics – Experimentation & Product Analytics leads analysts responsible for experimentation, product analytics, and measurement of digital initiatives. The role establishes experimentation frameworks, advances analytical capabilities, and uses AI/ML to improve monitoring and insight generation. It partners with cross-functional stakeholders to shape priorities and product strategy, while developing the team and enabling self-service analytics. Remote or hybrid arrangements may be considered based on Target’s needs.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
The pay range is $115,000.00 - $206,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits .
About us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here (https://corporate.target.com/about) .
A role in Digital Experimentation & Product Analytics means partnering with Product, Technology, Data Science, Site Merchandising, and Analytics leaders to drive data-informed decisions, accelerate innovation, and optimize digital experiences for our guests. You will play a critical role in shaping experimentation strategy, advancing analytical capabilities, and fostering a culture of continuous testing, learning, and optimization to maximize business impact.
As a Sr. Manager, Data Analytics – Experimentation & Product Analytics , you will lead a team of analysts responsible for end-to-end experimentation, advanced product analytics, and measurement of digital initiatives. You will establish scalable experimentation frameworks, drive analytical rigor, and leverage AI/ML capabilities to automate anomaly detection, streamline experiment monitoring, and accelerate insight generation.
You will partner with cross-functional stakeholders to identify high-impact opportunities, define success metrics, prioritize initiatives, and translate complex analytical findings into actionable recommendations that influence product strategy and business outcomes. You will also develop a high-performing team, champion analytical innovation, and enable self-service experimentation and analytics capabilities across the organization.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About You
-
Bachelor’s or master’s degree in computer science, Statistics, Applied Mathematics, Data Science, Information Technology, or equivalent work experience.
-
Minimum of 8 years of experience in advanced analytics, experimentation, product analytics, or data science, including at least 2 years of people management experience.
-
Strong expertise in end-to-end experimentation, including hypothesis development, A/B and multivariate testing, experimental design, statistical power analysis, and post-hoc analysis.
-
Hands-on experience with advanced statistical techniques, including causal inference, Bayesian methods, regression modeling, variance reduction (e.g., CUPED), and predictive analytics.
-
Experience leveraging AI/ML and Generative AI to automate anomaly detection, experiment monitoring, root-cause analysis, and analytical workflows.
-
Strong product analytics expertise, including KPI development, funnel and cohort analysis, customer behavior analytics, and measurement of incremental business impact.
-
Advanced proficiency in SQL, Python, or R, with experience working on large-scale datasets and modern cloud data platforms (e.g., GCP, BigQuery, Postgres).
-
Familiarity with experimentation platforms, data visualization tools (e.g., Domo, Power BI), and scalable analytics solutions.
-
Strong understanding of experiment integrity, data quality, statistical rigor, and measurement frameworks to ensure reliable decision-making.
-
Demonstrated ability to lead and develop high-performing teams, influence cross-functional stakeholders, and translate complex insights into strategic business recommendations.
-
Excellent problem-solving, communication, and stakeholder management skills, with the ability to navigate ambiguity and deliver results in a fast-paced environment.
-
Experience in Retail, Digital Commerce, Merchandising, Marketing, or Digital Product Experimentation preferred.
This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs. A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year. A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou\_E
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to [email protected]. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 11/12/2026
How this job compares
Set against the 2,444 open Data Analytics jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$115–206K/yr
- Minnesota median$115–182K/yr38 salary ranges
- US median$116–193K/yr1,672 salary ranges
This range's midpoint, $161K, is 6% above the Minnesota median midpoint ($151K) — in the middle half of Data Analytics salary ranges in Minnesota.
- Openings
- Olive Jobs lists 50 open Data Analytics jobs in Minnesota and 2,444 across the US. 6% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience; Data Analytics postings that state a minimum ask for 5 years at the median (1,902 postings).
- Education
- 1,190 of the 2,444 open Data Analytics jobs (49%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
Prepare for this role
You've read the whole posting — now see how you match it.


