{"id":3405032,"url":"https://alion.io/job/target-sr-manager-data-analytics-experimentation-product-analytics","title":"Sr. Manager, Data Analytics – Experimentation & Product Analytics","company":{"id":3684,"name":"Target","domain":"target.com","url":"https://alion.io/company/target","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":327,"ghost_share":0.021,"stale_share":0.306,"repost_share":0.04,"time_to_fill_p50_days":8,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Minneapolis, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":206000,"currency":"USD","period":"year","gross":null,"usd_annual":206000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Domo","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-28T15:54:30Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-30T16:19:38Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"The pay range is $115,000.00 - $206,000.00Pay 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.\nAbout us:\nWorking 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.\nA 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.\nAs 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.\nYou 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.\nCore responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.\nAbout You\nBachelor’s or master’s degree in computer science, Statistics, Applied Mathematics, Data Science, Information Technology, or equivalent work experience.\nMinimum of 8 years of experience in advanced analytics, experimentation, product analytics, or data science, including at least 2 years of people management experience.\nStrong expertise in end-to-end experimentation, including hypothesis development, A/B and multivariate testing, experimental design, statistical power analysis, and post-hoc analysis.\nHands-on experience with advanced statistical techniques, including causal inference, Bayesian methods, regression modeling, variance reduction (e.g., CUPED), and predictive analytics.\nExperience leveraging AI/ML and Generative AI to automate anomaly detection, experiment monitoring, root-cause analysis, and analytical workflows.\nStrong product analytics expertise, including KPI development, funnel and cohort analysis, customer behavior analytics, and measurement of incremental business impact.\nAdvanced proficiency in SQL, Python, or R, with experience working on large-scale datasets and modern cloud data platforms (e.g., GCP, BigQuery, Postgres).\nFamiliarity with experimentation platforms, data visualization tools (e.g., Domo, Power BI), and scalable analytics solutions.\nStrong understanding of experiment integrity, data quality, statistical rigor, and measurement frameworks to ensure reliable decision-making.\nDemonstrated ability to lead and develop high-performing teams, influence cross-functional stakeholders, and translate complex insights into strategic business recommendations.\nExcellent problem-solving, communication, and stakeholder management skills, with the ability to navigate ambiguity and deliver results in a fast-paced environment.\nExperience in Retail, Digital Commerce, Merchandising, Marketing, or Digital Product Experimentation preferred. \nThis 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\nPlease paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_EAmericans with Disabilities Act (ADA)\nIn 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 -accommodation-relatedrequests, such as application follow-ups or technical issues, will not be addressed through this channel.\nApplication deadline is : 11/12/2026","description_format":"text","description_chars":5767,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Retail & Shop Systems","Online Groceries"],"lifecycle":[{"event":"open","at":"2026-10-28T15:54:30Z"}],"visa":[],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.887,"p_room":1,"age_days":1,"expected_fill_days":8,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":206000,"is_top_pay":true},"html_url":"https://alion.io/job/target-sr-manager-data-analytics-experimentation-product-analytics","json_url":"https://alion.io/job/target-sr-manager-data-analytics-experimentation-product-analytics.json","meta":{"generated_at":"2026-10-30T20:56:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":11205,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3684},"rest":"https://alion.io/mcp/rest/get_company?id=3684"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftarget-sr-manager-data-analytics-experimentation-product-analytics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftarget-sr-manager-data-analytics-experimentation-product-analytics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftarget-sr-manager-data-analytics-experimentation-product-analytics"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/target-sr-manager-data-analytics-experimentation-product-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftarget-sr-manager-data-analytics-experimentation-product-analytics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3405032}},{"tool":"search_jobs","arguments":{"company":"target.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3405032},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}