The pay range is $88,000.00 - $158,000.00

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 https://corporate.target.com/careers/benefits.

About us:

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.

A role on the Reporting & Analytics team with Financial Planning & Analysis means belonging to a great team of genuine, diverse, courageous and versatile people who put integrity and ethics at the heart of everything they do. You’ll play a key role in delivering standardized, accurate, and insightful financial reporting across FP&A. This role partners closely with finance leaders and business stakeholders to design, automate, and enhance reporting solutions that drive data-informed decision-making. As part of a centralized Reporting & Analytics team, this analyst will support multiple FP&A functions (Merch Finance, Marketing, Stores, Supply Chain, Corporate Finance, Capital) by providing scalable reporting, dashboarding, and analytical insights.

About you:

• Four-year degree or equivalent experience
• 3+ years as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience
• Advanced SQL experience writing complex queries
• Intermediately accomplished with Python or R
• Knowledge of forecasting models including statistical analysis
• Advanced data visualization skills; building interactive, executive ready dashboards in tools like Power BI, Looker, Tableau, etc.
• Solid problem solving, analytical skills, data curiosity, data mining, data creation and consolidation
• Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations
• Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results
• Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them
• Experience in analytics tools such as: SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click[**here

](https: //corporate.target.com/about/locations/Target-in-the-Twin-Cities)*if you are curious to learn more about Minnesota.*Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.