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Target is a retail company that aims to bring joy to everyday life for families.
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:
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.
About You:
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