About the Team

Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers.

Target’s distinctive brand love is infused throughout its many physical locations by the Properties teams. We have a direct and positive impact on the real estate, design, construction and maintenance of our stores, distribution centers and headquarters.

The Properties Data Analytics team’s mission is to harness the power of data to inform critical decisions that enable a reliable and on-brand guest experience at every Target location.

We are uniquely positioned to lead meaningful analytical work—including A/B testing, experimentation, statistical analysis, and data-driven decision support—to inform Property Management’s evolving strategies in a rapidly changing environment.

About the Role

As a Senior Data Analyst on the Properties Data & Insights team, you will lead analytical initiatives that enable Target to make stronger, data-informed decisions. You will combine advanced analytical techniques, statistical modeling, and experimentation design to solve complex business problems and influence strategy across the Properties organization.

In this role, you will:

• Partner closely with Product Managers and senior business stakeholders to frame analytical problems, define success metrics, and deliver insights that guide roadmap decisions.

• Conduct advanced analysis using statistical methods, hypothesis testing, forecasting, segmentation, or light machine learning techniques to uncover trends and opportunities.

• Design, operationalize, and measure experiments, including pilots and A/B tests, with rigor in sample selection, measurement plans, and interpretation of results.

• Build scalable analytical solutions — dashboards, self-service tools, and reusable data models — that accelerate decision-making across the organization.

• Lead exploratory analysis and complex data investigations to identify patterns, root causes, or new levers for business improvement.

• Partner with data engineering and technology teams to ensure strong data foundations, including understanding data lineage, quality, and dependencies.

• Act as a thought leader and mentor — guiding junior analysts, sharing best practices, and elevating the analytical, statistical, and data science maturity of the team.

• Continuously expand your technical toolkit, bringing in new methods, tools, and analytical approaches to support evolving business needs.

Core responsibilities are described above; job duties may change at any time due to business needs.

About You

• Bachelor’s degree in Computer Science, Information Management, Statistics,Mathematics, Economics or a related analytical field.

• 4+ years of experience as a data analyst, business analyst, or applied analytics professional.

• Strong proficiency in SQL and experience working with large datasets; experience with Python (Pandas, Num Py, Sci Py, scikit-learn) or other statistical/data science tools is a strong plus.

• Hands-on experience with experimentation and inferential statistics (e.g., hypothesis testing, confidence intervals, regression, experiment design).

• Experience with dashboarding/visualization tools such as Power BI, Looker, or similar.

• Demonstrated ability to translate complex data into clear insights and recommendations for senior partners.

• Comfort working in ambiguous problem spaces and driving clarity through structured analytical thinking.

• Strong communication and storytelling skills with the ability to influence cross-functional teams.

• Passion for learning and a growth mindset centered around improving processes, tools, and decision-making methods.

Useful Links-

Life at Target-

https: //india.target.com/

Benefits-

https: //india.target.com/life-at-target/workplace/benefits

Culture-

https: //india.target.com/life-at-target/belonging