Lead data analyst Target Corporation India Pvt. Ltd. India
4 days ago
(Lead 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. 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 part of the Marketing Analytics and Insights team, our analysts work closely with business owners as well as technology and data product teams staffed with product owners. They support Digital Marketing experience optimization with behavioral data and analytics patterns
Position 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, organize, analyze and present data. You will partner with a senior optimization leader in the HQ location, to analyze digital marketing engagement patterns to learn in an iterative, hypothesis-led agile approach. 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. 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.
About you:
Key Responsibilities *:
· Experience working on Digital Commerce behavioral data, especially Adobe Analytics & MS Excel.
· Ability to work independently on exploratory analytics, taking notes for clarity & guidance needed, then seeking answers from key stakeholders.
· Ability to build standard, repeatable analytics objects (segments, metrics, views) and document their definitions.
· Experience in identifying simple, high-impact, actionable takeaways from large datasets.
· Possess analytical skills (SQL, Python, R, etc.) to find, manipulate, and present data in meaningful ways to clients.
Desired Skills & Experiences *:
· Ability to breakdown complex problems, identify root cause of the issue, and develop solutions
· Ability to influence cross-functional teams and partners at multiple levels of the organization
· Experience with A/B Testing, running digital experiments within large-scale companies.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 experience in Adobe Analytics & Behavioral Analytics.
· Strong foundational mathematics and statistics, experimental design.(In terms of soft skills for lead role)
· Has strong problem solving, analytical skills and ability to manage ambiguity.
· Ability to communicate results of complex analytic findings to both technical /non-technical audiences and business leaders.
· Ability to lead change, work through conflicting priorities & create strong relationships.
· Experience working in an agile environment (stories, backlog refinement, sprints, etc.).
· Excellent attention to detail and timelines. Strong sense of independent ownership.
· Strong stakeholder management with product teams and business leaders.
Useful Links-
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