Data Analyst

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.

Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win

About the team:

A role with Business team means being a part of the team that enables faster, smarter and more scalable decision-making to compete and win the modern retail market. Here, you’ll leverage data, statistics and visualization to create the 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. If you’re an analyst who can work on autonomous teams, integrate the latest practices with your approach, write code to handle massive scale, simplify complex decisions by providing flexible, fast and sustainable decision-making solutions, then you’ll be successful here.

About the role:

• Bachelor’s degree, preferably in Finance, IT or other analytic discipline, or equivalent experience
• 2+ year as a Data Analyst with strong academic performance in a quantitative field
• Intermediate SQL experience writing complex queries; MS Excel
• 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
• Influence data & reporting maturity, enabled by intermediate understanding of business processes & objectives
• Experience working effectively with a global team
• Good to have : Experience in analytics tools such as: Hadoop, Hive, Spark, Python, R, Domo, Power BI, Adobe Analytics (or Google Analytics), SAP Analytics Cloud, and/or equivalent technologies