You will be taken to Target’s own careers page to apply. Job ID R0000476748.
Job description
About Us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. Every time a guest enters a Target store or browses Target.com nor the app, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 5,000 engineers, data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on diversity and inclusion, experimentation and continuous learning.
As a Lead Data Analyst, you will leverage deep analytical expertise, business knowledge, and data-driven insights to solve complex business problems, influence decision-making, and drive measurable business outcomes. You will:
Leverage data, analytics, and business expertise to solve complex business problems and influence strategic decision-making.
Partner with business, product, and technology leaders to define analytical approaches, measurement strategies, and success metrics for key initiatives.
Lead complex analyses across multiple data sources to identify opportunities, risks, trends, and drivers of business performance.
Design and execute analytical frameworks that evaluate business outcomes, measure impact, and support prioritization of investments and initiatives.
Define and evolve key metrics, KPIs, and business logic to ensure consistent measurement and decision-making across stakeholders.
Guide experimentation and test-and-learn initiatives by developing measurement plans, evaluating results, and translating findings into actionable recommendations.
Deliver insights through dashboards, reporting solutions, presentations, and data storytelling that drive business action.
Influence business partners through data-driven recommendations and serve as a trusted advisor on analytical and measurement-related decisions.
Identify opportunities to improve analytical processes, automate reporting, enhance self-service capabilities, and increase the scalability of analytics solutions.
Partner with data, product, and engineering teams to improve data quality, metric consistency, and analytical capabilities.
Mentor and provide guidance to analysts, sharing expertise, reviewing analytical approaches, and promoting best practices.
Explore and apply emerging analytical techniques, AI-enabled capabilities, and innovative approaches to improve decision-making and business outcomes.
Lead analytical workstreams and complex projects that span multiple stakeholders, teams, or business areas.
About You
Four-year degree or equivalent experience in Analytics, Statistics, Mathematics, Economics, Computer Science, Business, or a related field.
6+ years of experience in data analytics, business intelligence, consulting, product analytics, marketing analytics, or a related analytical discipline.
Advanced experience using SQL to access, transform, and analyze complex datasets.
Experience applying analytical techniques and statistical methods to solve business problems and support decision-making.
Experience building dashboards, visualizations, and reporting solutions using tools such as Tableau, Power BI, Domo, Qlik, or similar platforms.
Experience communicating analytical insights and recommendations to senior stakeholders and cross-functional partners.
Strong problem-solving, critical-thinking, stakeholder management, and data storytelling skills.
Useful Links-
Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits
