below marketmost similar roles pay hereabove market
This role pays less than
80%
of similar roles. Most pay
$166,259–$231,150
— the blue band above.
At the midpoint, this role pays about
$160k
versus about
$199k
for comparable roles.
Based on 240 similar postings.
Employer
About Target
Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail
Target currently has
94 open roles
on FindRole.
Listed pay typically runs
$98,000–$176,000
across 66 roles with salary data.
The Sr. Manager, Data Analytics – Experimentation & Product Analytics leads a team of analysts within the Digital Experimentation & Product Analytics group. This role involves managing end-to-end experimentation, establishing scalable frameworks, and driving analytical rigor to optimize digital experiences. Key responsibilities include developing success metrics, performing funnel and cohort analysis, and translating complex findings into actionable product strategies. The position requires expertise in A/B and multivariate testing, causal inference, Bayesian methods, and regression modeling. Candidates must possess advanced proficiency in SQL, Python, or R, alongside experience with cloud data platforms like GCP, BigQuery, and Postgres. The role also leverages AI/ML and Generative AI for anomaly detection and automated monitoring to solve complex business problems within the retail and digital commerce domains.
Lead a team of analysts responsible for end-to-end experimentation and advanced product analytics.
Establish scalable experimentation frameworks and drive analytical rigor across digital initiatives.
Leverage AI/ML capabilities to automate anomaly detection and streamline experiment monitoring.
Partner with cross-functional stakeholders to identify high-impact opportunities and define success metrics.
Translate complex analytical findings into actionable recommendations that influence product strategy.
Develop a high-performing team and champion analytical innovation across the organization.
Enable self-service experimentation and analytics capabilities for various business units.
What we're looking for
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.
Minimum of 2 years of people management experience.
Strong expertise in end-to-end experimentation, including hypothesis development, A/B and multivariate testing, and statistical power analysis.
Hands-on experience with advanced statistical techniques including causal inference, Bayesian methods, regression modeling, and variance reduction.
Experience leveraging AI/ML and Generative AI to automate anomaly detection and analytical workflows.
Advanced proficiency in SQL, Python, or R with experience on large-scale datasets and modern cloud data platforms.
Experience in Retail, Digital Commerce, Merchandising, Marketing, or Digital Product Experimentation (preferred).