Pay
In line with similar jobs
$115K–$206K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Senior Manager, Data Analytics – Experimentation & Product Analytics
1000 Nicollet Mall, Minneapolis, MN 55403-2542
Actively hiring, first seen by us 8 days ago- Pay
$115,000–206,000/yearAnnual period assumed — pay source
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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingLead and develop a team of analysts on experimentation and product analytics
Establish scalable experimentation frameworks and drive analytical rigor
Use AI/ML to automate anomaly detection and experiment monitoring
Define success metrics and turn analysis into product strategy recommendations
Enable self-service experimentation and analytics across the organization
From the employer’s posting
you will lead a team of analysts responsible for end-to-end experimentation
You will establish scalable experimentation frameworks, drive analytical rigor
leverage AI/ML capabilities to automate anomaly detection, streamline experiment monitoring
define success metrics, prioritize initiatives, and translate complex analytical findings into actionable recommendations
enable self-service experimentation and analytics capabilities across the organization
What you’ll bring
All qualificationsCore experience
- Bachelor’s or master’s degree in computer science, Statistics, Applied Mathematics, Data Science, Information Technology, or equivalent work 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.
- 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.
Preferred experience
- Experience in Retail, Digital Commerce, Merchandising, Marketing, or Digital Product Experimentation preferred.
Qualification wording
Bachelor’s or master’s degree in computer science, Statistics, Applied Mathematics, Data Science, Information Technology, or equivalent work 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.
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.
Experience in Retail, Digital Commerce, Merchandising, Marketing, or Digital Product Experimentation preferred.
Education & alternatives
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.
About Target
Working at Target means helping all families discover the joy of everyday life.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 20268 days ago
- Recorded sightings
- 10
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 8
Similar jobs usually come down between day 7 and day 54.
At Target, jobs usually come down by about day 27.
From 8,063 similar postings that came down, and 74 of Target’s. Coming down is not always a hire.
Target is hiring
26 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- BigQuery
- GCP
- Power BI
- PostgreSQL
Where the posting names them
- 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.
- 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.
Your next step
Complete your application on target.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About Target
- People
- About 400,000 in 2026, about the same as the year before.Annual report (SEC Form 10-K)
- Company
- Listed as TGT.
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.
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.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_EAmericans 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 candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 11/12/2026Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
1000 Nicollet Mall, Minneapolis, MN 55403-2542
- 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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.