Sr Data Analyst

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, NumPy, SciPy, 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.