About Us

Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers. Working at Target means the opportunity to help all families discover the joy of everyday life. 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.

The properties team at Target helps create, build, and maintain a joyful physical experience for consumers, teams, and communities. Within Properties, the Property management team strategically manages Target Properties to deliver a superior store environment for our guests and TMs through an innovative, thoughtful, and financially disciplined approach to property management on Value, Reliability and Brand.

The Data & Insights team’s mission is to harness the power of data to inform critical decisions that enable reliable and on-brand guest experience at every Target location. We are uniquely positioned to drive meaningful analytical projects such as A/B testing, experimentation, statistical analysis to inform Property Management’s evolving strategy in an ever-change environment.

The Data & Insight Team

1. Integrates into the business as strategic analytics partners and anticipates and uncovers stated or unstated needs.
2. Listens and empowers team member and external stakeholder voice
3. Uses our analytics expertise to test, measure, analyze, understand and answer various business questions
4. Provide reporting to help inform on the current state of the business and help facilitate process at scale
5. Connects our understanding across Properties to deliver data driven products and solutions
6. Provide meaningful insights and recommendations
7. Cultivate robust collaborations with technology and data engineering teams to facilitate the implementation of optimal data management practices
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About The Role

Our Data Analysts are expected to explore data, technologies, and the application of mathematical techniques to enable business insights. Data analysts accomplish this through a wide variety of skills including data wrangling, reporting, dashboarding, visualization, statistical analysis, modeling, analytical engineering and the presentation of recommendations and insight. Analysts will work within an agile environment, which requires active participation in ceremonies to accomplish the team’s goals. They also develop domain knowledge as they learn about their business area and support applying key data management principles like metadata management, data profiling, and documenting their data lineage.

1. Actively exploring data for specific use cases
2. Expertise in business domain and processes
3. Creating measurable insights from the data to be shared
4. Documenting calculations, code, and adhering to data management principles
5. Validating and testing data assets of others in the form of peer review
6. Exploring statistical analysis that could be applied to the data
7. Performing descriptive statistics including mean, variance, median, correlation
8. Applies insights and testing in partnership with business users
9. Active participant in team meetings
10. Ability to work independently to turn business problems into data solutions
11. Willing and eager to learn business domain and analytical techniques to elevate team performance
12. Support data infrastructure activities such as connecting, standardizing and automating various data sources
13. Support team operations such as backlog organization, documentation, education & communication material of data products
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About You

1. BA/BS or equivalent experience
2. 2+ years' work experience in data analysis or masters level education in business analytics, data science, etc.
3. Demonstrated leader in knowledge and application of data, reporting, and analytics
4. Proficient with various programming languages- SQL, R, Python
5. Proficient with relational and non-relational databases
6. Stays current with new and evolving technologies via formal training and self-directed education to continue to raise individual and team performance
7. Math and/or Statistics:
8. Mathematical logic (AND, OR NOT)
9. Descriptive and Inferential Statistics
10. Calculus (weighted averages, rates of change, single variable)
11. Testing and Research Design:
12. Apply the scientific method and experimental design
13. Generate insight from observational data