Sr Data Analyst - Store Operations

The pay range is $85,500.00 - $153,900.00

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.

Sr. Data Analyst – Stores Analytics

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  

Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It’s how we care, grow, and win together.

About the role:

The Stores Analytics Team rapidly develops and deploys new innovations to improve existing processes and enable new capabilities that drive productivity, create a great Guest and Team Member experience.  We are looking for exceptional people who are proactive, creative, independent, innovative, practical, and comfortable with ambiguity. Are you a critical thinker who seeks the root cause and can analyze both qualitatively and quantitatively? Are you a creative problem-solver who simplifies problems, quickly identifies solutions, and can build and execute effective plans to address? If so, you will have success on one of our dynamic teams.

The Stores Analytics team leverages business experience, thought leadership, and analytical acumen to elevate problem solving for Stores.  The Stores Analytics team provides an ideal opportunity to work within a highly collaborative team managing complex solutions.  A role on our team means being central to the innovation within Target Stores.  You’ll be working in a dynamic and challenging environment where new technologies are deployed constantly, and processes are evolving quickly as these operations mature. Here, you’ll leverage data, statistics, and visualization to create actionable insights that deliver value across all Target functions.  Our savvy reporting and analytics pros use market-leading tools and data automation to make a positive impact that’s felt across the business. 

Primary Function:

As a Sr. Data Analyst, you’ll be part of a team of analysts supporting Stores through active exploration of data, technologies and the application of mathematical techniques that enables actionable business insights to include the development of metrics, reports and statistics. A very critical role you’ll play is sharing out these insights through training/communication opportunities with end users to gather feedback, apply learned insights and testing in partnership with business users. Along the way you’ll be applying best practices for data wrangling, analysis and visualization by sharing well documented solutions with others (clients, peers, etc.) while upskilling on new and emerging technologies with a continuous improvement mindset. In addition, active participation in team meetings and contributing to agile ceremonies.

Principal Duties and Responsibilities:

• Actively exploring data for specific use cases
• Creating measurable insights from the data to be shared
• Developing metrics, reports, and statistics
• Documenting calculations, code, and adhering to data management principles
• Validating and testing data assets of others in the form of peer review
• Exploring statistical analysis that could be applied to the data
• Performing descriptive statistics including mean, variance, median, correlation
• Applies insights and testing in partnership with bus