Sr. Manager, Data Analytics – Experimentation & Product Analytics

Target • Minneapolis, MN

10d

About The Position

The Sr. Manager, Data Analytics – Experimentation & Product Analytics leads a team of analysts responsible for end-to-end experimentation, advanced product analytics, and measurement of digital initiatives. The role establishes scalable experimentation frameworks, drives analytical rigor, and uses AI/ML capabilities to automate anomaly detection, streamline experiment monitoring, and accelerate insight generation.

The role partners with Product, Technology, Data Science, Site Merchandising, and Analytics leaders to identify high-impact opportunities, define success metrics, prioritize initiatives, and translate complex analytical findings into recommendations that influence product strategy and business outcomes. It also develops a high-performing team, champions analytical innovation, and enables self-service experimentation and analytics capabilities across the organization. Job duties may change at any time 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 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, and experience working with large-scale datasets and modern cloud data platforms.
• Familiarity with experimentation platforms, data visualization tools, 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.
• Work duties cannot be performed outside the country of the primary work location, unless otherwise prescribed by Target.

Nice To Haves

• Experience in Retail, Digital Commerce, Merchandising, Marketing, or Digital Product Experimentation.
• Experience with cloud data platforms such as GCP, BigQuery, or Postgres.
• Experience with data visualization tools such as Domo or Power BI.

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 medical, vision, dental, and life insurance benefits.
• 401(k)
• Employee discount
• Short-term disability
• Long-term disability
• Paid sick leave
• Paid national holidays
• Paid vacation
• Other financial, education, and well-being benefits may be available to eligible team members.

What This Job Offers

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