Sr 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.
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 different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.
Overview about TII
At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different 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.
As a Sr Data Analyst for Target’s Merch Data Analytics team you’ll:
Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data.
• Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results.
• Designs, develops, and delivers analytical solutions resulting in decision support or models
• Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners
• Evaluates processes, analyzes and interprets statistical data
• Develop business acumen and cultivate client relationships
• Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms.
• Documents analytical methodologies used in the execution of analytical projects
• Participate in knowledge sharing system to support iterative model builds
• Adheres to corporate information protection standards.
• Keep up to date on industry trends, best practices, and emerging methodologies
Requirements / About You:
Experience: Overall 5-8 years exp and relevant 3-5 years exp
Qualification: B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent
1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts.
2. Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools.
3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets.
4. Hands on experience in R, Python, Hive or other open-source languages/database
5. Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above
6. Git source code management & experience working in an agile environment.
7. Strong attention to detail, excellent diagnostic, and problem-solving skills
8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines
9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn.
10. Excellent communication, service orientation and strong relationship building skills
11. Experience with Retail, Merchandising, Marketing will be strong addons
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/belonging
