Data Analyst

About us:

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.

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 you:  

• Four-year degree or equivalent experience

• 1+ year as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience [add any specific analyst experience needed here] 

• Intermediate SQL experience writing complex queries

• 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

• Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models  including statistical analysis

• Experience in analytics tools such as: SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies

Useful Links-

Life at Target- https://india.target.com/

Benefits- https://india.target.com/life-at-target/workplace/benefits

Culture- https://india.target.com/life-at-target/diversity-and-inclusion