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
strategyThe Finance Capabilities Data Analytics & Automation (DAA) team manages key
dataA role with Target’s OI Data Analytics team is a chance to help develop our in-house strength for getting the
maximum value from Target’s many data assets.  We see data as a product, and as an opportunity to
experiment, to refine our approach to new supply chain problems.  This is how we bring to life what wasn’t
possible yesterday, and generate new avenues of insights for Target’s supply chain business in the process.
Together, we positively impact changes across various initiatives, processes and interdependencies that
require exceptional data collection, pattern finding, modelling, measurement and analysis — ultimately
leading to quicker and more meaningful decision-making at Target.
 
About this career:
Role is about being passionate about data, analysis, metrics development, feature experimentation and its application to improve both business strategies, as well as support to GSCL operations team
Develop, model and apply analytical best practices while upskilling and coaching others on new and
emerging technologies to raise the bar for performance in analysis by sharing with others (clients,
peers, etc.) well documented analytical solutions .
Drive a continuous improvement mindset by seeking out new ways to solve problems through formal trainings, peer interactions and industry publications to continually improve technically, implement
best practises and analytical acumen
Be expert in specific business domain, self-directed and drive execution towards outcomes,
understand business inter-dependencies, conduct detailed problem solving, remediate obstacles, use independent judgement and decision making to deliver as per product scope, provide inputs to establish product/ project timelines
Participate in learning forums, or be a buddy to help increase awareness and adoption of current technical topics relevant for analytics competency e.g. Tools (R, Python); exploratory & descriptive techniques ( basic statistics and modelling)
Champion participation in internal meetups, hackathons; presents in internal  conferences, relevant to analytics competency
Contribute the evaluation and design of relevant technical guides and tools to hire great
talent by partnering with talent acquisition
Participate in Agile ceremonies to keep the team up-to-date on task progress, as needed
Develop and analyse data reports/Dashboards/pipelines, do RCA and troubleshooting of issues that arise using exploratory and systemic techniques
About you:

• B.E/B.Tech (+6 years of relevant exp), M.Tech, M.Sc. , MCA (+5 years of relevant exp)
• Candidates with strong domain knowledge and relevant experience in Supply Chain / Retails
• analytics would be highly preferred
• Strong data understanding inference of patterns, root cause, statistical analysis, understanding forecasting/predictive modelling, , etc.
• Advanced SQL experience writing complex queries
• Hands on experience with analytics tools: Hadoop, Hive, Spark, Python, R, Domo and/or equivalent technologies
• 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
• Strong analytical, problem solving, and conceptual skills.
• Demonstrated ability to work with ambiguous problem definitions, recognize dependencies and deliver impact solutions through logical problem solving and technical ideations
• Excellent 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 problems in support of supply chain 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