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

Team Overview

As a Lead Data Analyst your responsibilities will be exploring data, technologies, and the application of mathematical techniques to derive business insights. Data analysts spend their time determining the best approach to gather, model, manipulate, analyze and present data. You will lead an agile team which requires active participation in ceremonies and team meetings. In this role, you’ll have opportunities to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education.
 This role specifically will support a new initiatives requiring new data and metric development. Your curiosity and ability to roll up guest level insights will be critical. The team will be leveraging Digital data to measure the impact of promotions, product content placement, or design changes at any digital assets e.g. website or mobile app, to impact the guest experience and purchase decisions. This new capability are still being defined, which allows for creative thinking and leadership opportunities. Job duties may change at any time due to business needs.

Position Overview

Key Responsibilities*:
Work with Digital, Loyalty etc. teams to use data to identify opportunities,
bridge gaps, and build advanced capabilities
Partner with Product, DS, DE, etc. to determine the best approach to gather,
model, manipulate, analyze and present data
Develop data and metrics to support key business strategies, initiatives, and
decisions
Explore data, technologies, and the application of mathematical techniques to derive business insights
Taking complete ownership and accountability of the work assigned and liaison between various stakeholders and team members
Desired Skills & Experiences*:
Ability to breakdown complex problems, identify root cause of the issue, and
develop sustainable solutions
Ability to influence cross-functional teams and partners at multiple levels of the organization
Significant Experience in Adobe Analytics
Possess analytical skills (SQL, Python, R, etc.) to find, manipulate, and present data in meaningful ways to clients
Desire to continuously upskill to stay current with new technologies in the
industry via formal training, peer training groups and self-directed education
Understanding of Digital Business, KPIs , Digital Metrics is desirable

About you:

• (In terms of technical)
  B.E/B.Tech, M.Tech, M.Sc. , MCA - Overall 8-12 years of experience. And 6-8 years data ecosystem experience.
  Strong Architect of data capabilities and analytical tools. Proven experience to architect enterprise level Datawarehouse solutions and BI Implementations across Domo, Tableau & other Visualization tools.
  Provide expertise and ability to train and guide team to implement top design architectures to build next generation analytics
  Deep Big data experience. Should have solid experience in Hadoop ecosystem and its components around writing programs using Map-Reduce, experience in developing Hive and PySpark SQL and designing and developing Oozie workflows.
  Strong foundational mathematics and statistics
  Strong stakeholder management with product teams and business leaders.
  Has strong problem solving, analytical skills and ability to manage ambigity.
  Ability to communicate results of complex analytic findings to both technical /non-technical audiences and business leaders.
  Ability to lead change, work through conflict and setbacks .
  Experience working in an agile environment (stories, backlog refinement, sprints, etc.).
  Excellent attention to detail and timelines. Strong sense of ownership.
  Desire to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education

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