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.

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.

The Senior Data Analyst role with Target’s Stores Analytics team is to support Sales Floor business in Stores and Guest Engagement business areas of Target with critical data analysis that helps team members and HQ and Stores field business leaders make profitable decisions.  Use your skills, experience and talent to be a part of ground breaking thinking and visionary goals. Interface with the Target Stores and HQ leaders to validate business requirements for developing insights and reporting dashboards. Determine best methods for gathering data and present information for business team members to make data driven decisions. Communicate with product manager / portfolio directors to share knowledge and findings. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business need.

About this career: 

• Contribute during ceremonies to with task progress updates, KPI updates, and active learning from agile team on a regular basis.

• Apply best practices for data wrangling, analysis and visualization by sharing well documented solutions with others (clients, peers, etc.) while upskilling on new and emerging technologies with a continuous improvement mind set.

• Foster a culture of customer focus to better understand our users by gaining a deep understanding of the clients, processes they own, tools they use and business goals. Use expertise to consult on statistical analysis as well as contribute to measuring key business outcomes as tests are applied. 

• Contribute to team engagement with a continuous improvement mind set through interactions with platform teams to understand new capabilities, utilize self-based training and attending training opportunities. 

• Support problem statement, approach, and the metrics and measurement strategy, including success criteria, to determine and improve the value of your work through an understanding of the business, business process, data ecosystem, rapid data mining 

• Apply and educate stakeholders on the application of DSA best practices by  enabling self-service, advocating for how data is consumed, interpreted, and turned into action through compelling visualizations and A/B testing

• Support improved data driven decision making by stakeholders through descriptive statistics and in-depth analysis to turn complex or disparate data into clear stories, helping to guide decisions and identify opportunities for deeper analysis with increased mathematical rigor

• Deliver using best practices for data wrangling, analysis, compelling visualization, descriptive statistics and intuitive story-telling using the data

• Be proficient in specific business domain, and understanding of business metrics/processes/decisions, applying data analysis best practices to the context

• Be self-directed and drive execution towards outcomes, understand business interdependencies, remediate obstacles, use independent judgement and decision making to deliver as per product scope, provide inputs to establish product/project timelines

• Define and measure success rate of how dashboard/analysis/insights​ are adapted into decision making, create feedback loops to enhance analysis

• Contribute or volunteer time towards learning forums, or be a mentor to help increase awareness and adoption of current technical topics relevant for Data Analyst competency e.g. BI tools and technologies (e.g. Greenfield, APIs); Descriptive & inferential analytics  

• Contributes to and participates in internal meetups, hackathons, conferences , that are relevant to Data Analyst competency, as part of self-learning

• Participates in evaluating and designing relevant technical guides and tools to hire great Data Analyst talent by partnering with TA team

About you:

• B.E/B.Tech (4+ years of relevant exp), M.Tech, M.Sc. , MCA (+3 years of relevant exp)

• Candidates with good domain knowledge and relevant experience in analysis on retail domain would be highly preferred

• Good data understanding inference of patterns, root cause, statistical analysis, understanding forecasting/predictive modelling, , etc.

• Strong SQL experience writing complex queries 

• Hands on experience with analytics tools: Hadoop, Hive, Spark, Python, R, Domo and/or equivalent technologies is preferable.

• Experience working with Product teams and business leaders to develop product roadmaps and feature development 

• Able to support conclusions with analytical evidence using descriptive stats, inferential stats and data visualizations 

• Good analytical, problem solving, and conceptual skills.

• Good communication skills with the ability to speak to both business and technical teams, and translate ideas between them

• Intellectually curious, high energy and a strong work ethic 

• Comfort with ambiguity and open-ended business intelligence problems in support of Store Operations

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