Lead, Data Experimentation & Product Analytics

Target; Oregon; Hybrid; USD 115,000 - 206,000; Full time

Benefits offered by this job

Health benefits

401(k)

Paid holidays

Paid vacation

Employee discount

Short/Long term disability

Job summary

Target is seeking a Sr. Manager, Data Analytics - Experimentation & Product Analytics to lead a team of analysts driving data-informed decisions.

You will shape experimentation strategy, foster rigorous analytics, and leverage AI/ML to automate anomaly detection and optimize digital experiences for guests. You will collaborate with Product, Technology, Data Science, Site Merchandising, and Analytics leaders to translate complex insights into strategic recommendations that elevate product

Qualifications

• Minimum 8 years of experience in advanced analytics, experimentation, product analytics, or data science.
• At least 2 years of people management experience.
• Strong knowledge of end-to-end experimentation and hypothesis testing.
• Hands-on statistical techniques including causal inference and Bayesian methods.
• Experience with AI/ML and Generative AI to optimize analytics workflows.
• Proven product analytics expertise and KPI development.

Responsibilities

• Lead end-to-end experimentation programs across digital initiatives.
• Develop scalable experimentation frameworks and measurement strategies.
• Translate insights into actionable product recommendations for stakeholders.
• Build and mentor a high-performing analytics team and enable self-service analytics.

Skills

Experimentation

A/B testing

Multivariate testing

Causal inference

Bayesian methods

AI/ML

Product analytics

KPI development

SQL

Python

R

BigQuery

Postgres

Domo

Power BI

Data visualization

Stakeholder mgmt

Education

Bachelor's or Master's in CS/Stats/Math/Data Science/IT

Tools

SQL

Python

R

BigQuery

Postgres

Domo

Power BI

Job description

Target is seeking a Sr. Manager, Data Analytics - Experimentation & Product Analytics to lead a team of analysts driving data-informed decisions.

You will shape experimentation strategy, foster rigorous analytics, and leverage AI/ML to automate anomaly detection and optimize digital experiences for guests. You will collaborate with Product, Technology, Data Science, Site Merchandising, and Analytics leaders to translate complex insights into strategic recommendations that elevate product