Sr. Manager, Data Analytics – Experimentation & Product Analytics

Target • Minneapolis, MN

1d • $115,000 - $206,000

About The Position

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 use 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.

The role sits within Digital Experimentation & Product Analytics and partners with Product, Technology, Data Science, Site Merchandising, and Analytics leaders to drive data-informed decisions, accelerate innovation, and optimize digital experiences. The position may be remote or hybrid, depending on Target’s needs. Remote team members work full-time from home or another non-Target location, without a desk at a Target location, and may travel to headquarters up to four times a year. Hybrid team members may work remotely or onsite at a Target location depending on the role, team, and tasks. Work duties may not be performed outside the country of the primary work location unless otherwise prescribed by Target. Job duties may change due to business needs.

Requirements

• Bachelor’s or master’s degree in computer science, Statistics, Applied Mathematics, Data Science, Information Technology, or equivalent work experience.
• At least 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 such as 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 such as GCP, BigQuery, or Postgres.
• Familiarity with experimentation platforms, data visualization tools such as Domo or 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.

Nice To Haves

• Experience in Retail, Digital Commerce, Merchandising, Marketing, or Digital Product Experimentation.

Responsibilities

• Lead a team of analysts responsible for end-to-end experimentation, advanced product analytics, and measurement of digital initiatives.
• Establish scalable experimentation frameworks and drive analytical rigor.
• Leverage AI/ML capabilities to automate anomaly detection, streamline experiment monitoring, and accelerate insight generation.
• Partner with cross-functional stakeholders to identify high-impact opportunities, define success metrics, and prioritize initiatives.
• Translate complex analytical findings into actionable recommendations that 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.

Benefits

• Eligible team members and their dependents may receive comprehensive health benefits and programs, which may include medical, vision, dental, and life insurance.
• 401(k)
• Employee discount
• Short-term disability
• Long-term disability
• Paid sick leave
• Paid national holidays
• Paid vacation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior