Target Jobs

Sr. Manager, Data Analytics – Experimentation & Product Analytics

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 YouBachelor'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.

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.