Senior Data Analyst - TES Data and Analytics

The pay range is $88,000.00 - $. 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

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

We are seeking a detail-oriented and innovative Senior Data Analyst to join our Data & Analytics Team
, supporting Target Enterprise Services (TES). This role goes beyond traditional data analysis, requiring a proactive individual who can uncover process inefficiencies, develop impactful tools, and design metrics that empower decision-making and continuous improvement.

As a Senior Data Analyst, you will play a hands‑on role in analyzing data, prototyping models, and collaborating with cross‑functional teams to design, build, and enhance the effectiveness of multiple data products. You’ll deliver actionable insights, build scalable tools, and mentor team members, all while driving analytics that shape business decisions. This role is designed for someone who thrives in a fast‑paced environment, enjoys tackling complex challenges, and can balance analytical rigor with creativity.

• Identify and analyze process gaps using data exploration, intuition, and investigative techniques.
• Conduct deep-dive analyses to uncover inefficiencies and propose data‑driven solutions to business problems and workflows.
• Perform trade‑off analyses to guide decision‑making and improve overall organizational performance.
• Apply AI-enabled analysis techniques to accelerate high-quality analysis, transform unstructured and immature data sources into scalable insights, identify emerging themes, and pressure‑test hypotheses while applying strong analytical judgment, validation, and responsible use practices.

• Build prototype statistical models and algorithms to enhance forecasting accuracy and operational effectiveness.
• Support development of topic modeling and sentiment analysis capabilities, bringing structured metadata to unstructured open text sources.
• Develop user‑friendly tools and dashboards to serve up actionable insights to service center and enterprise partner teams.
• Ensure analytical solutions are scalable and integrated into team workflows for lasting impact.

• Create KPIs, metrics, and calculations that accurately measure performance and shape desired behaviors across the Service Center Organization.
• Partner with enterprise analytics teams to ensure cohesiveness and consistency across the reporting portfolio.
• Regularly review and refine metrics to reflect evolving business needs and priorities.

• Partner with analysts and stakeholders across data and analytics teams to align on goals, methods, and outputs.
• Act as a thought leader by sharing domain knowledge, best practices, and analytical techniques to elevate team performance.
• Support the alignment of insights with business goals by fostering strong cross‑functional relationships.

• Translate complex analytics into clear, actionable business insights tailored to stakeholders’ needs.
• Effectively communicate findings through compelling presentations, data visualizations, and storytelling.
• Provide guidance on trade‑offs between competing priorities and decisions using a data‑driven approach.

• Bachelor’s degree in Data…