Sr. Manager, Data Analytics – Experimentation & Product Analytics

The pay range is $ - $. Pay 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

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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.

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, 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, Big Query, Postgres).

Familiarity with experimentation platforms, data visualization tools (e.g., Domo, Power BI), and scalable…