Senior Manager, Data Analytics – Experimentation, Product Analytics

Target

. Lead a team of analysts responsible for end-to-end experimentation, advanced product analytics, and measurement of digital initiatives .

Posted 10/28/2026full-timeMinneapolis • Minnesota • United StatesSenior💰 $115,000 - $206,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics, experimentation, and product analytics, with a strong focus on leveraging AI/ML capabilities for data-driven decision-making. Proven ability to lead teams, influence stakeholders, and translate complex analytical findings into actionable business strategies.

Highest-signal resume keywords

Advanced AnalyticsEnd-To-End ExperimentationAI/ML CapabilitiesSQL, Python, or RPeople Management Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

A/B TestingMultivariate TestingStatistical Power AnalysisCausal InferenceBayesian MethodsRegression ModelingPredictive AnalyticsKPI DevelopmentCustomer Behavior AnalyticsData Quality

Soft Skills

Problem-SolvingCommunicationStakeholder Management

Tools & Technologies

GCPBigQueryPostgresDomoPower BI

Industry Keywords

RetailDigital CommerceMerchandisingMarketingDigital Product Experimentation

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPostgresPythonSQL

About the role

Key responsibilities & impact

Lead a team of analysts responsible for end-to-end experimentation, advanced product analytics, and measurement of digital initiatives
Establish scalable experimentation frameworks
Drive analytical rigor and leverage AI/ML capabilities to automate anomaly detection, streamline experiment monitoring, and accelerate insight generation
Partner with Product, Technology, Data Science, Site Merchandising, Analytics leaders, and other cross-functional stakeholders
Identify high-impact opportunities and define success metrics
Prioritize initiatives and translate complex analytical findings into actionable recommendations
Influence product strategy and business outcomes
Develop a high-performing team and champion analytical innovation
Enable self-service experimentation and analytics capabilities across the organization
Support continuous testing, learning, and optimization of digital experiences

Requirements

What you’ll need

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
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 causal inference, Bayesian methods, regression modeling, variance reduction such as CUPED, and predictive analytics
Experience leveraging AI/ML and Generative AI for 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
Experience with large-scale datasets and modern cloud data platforms such as GCP, BigQuery, and Postgres
Familiarity with experimentation platforms, data visualization tools such as Domo and Power BI, and scalable analytics solutions
Strong understanding of experiment integrity, data quality, statistical rigor, and measurement frameworks
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
Experience in Retail, Digital Commerce, Merchandising, Marketing, or Digital Product Experimentation preferred
Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target

Benefits

Comp & perks

Comprehensive health benefits, including medical, vision, dental, and life insurance
401(k)
Employee discount
Short-term disability
Long-term disability
Paid sick leave
Paid national holidays
Paid vacation
Financial, education, and well-being benefits and programs
Remote work arrangement or Hybrid/Flex for Your Day arrangement
Remote team members may travel to HQ up to 4 times a year