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 Americas 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 youll 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

Behind one of the world’s best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. We’re also the source of the data and analytics behind Target’s Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com.

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 practices 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
  
  

• B.E/B.Tech (2-3 years of relevant exp), M.Tech, M.Sc. , MCA (+2 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