Position - Manager / Senior Manager - Advanced Analytics

Team - Advanced Analytics

Location - Gurgaon

About Tata 1mg

Tata 1mg is India's leading consumer healthcare platform. It aspires to be the trusted health partner for all Indians and its mission is to make healthcare accessible, understandable, and affordable. As one of the top consumer health platforms, Tata 1mg operates across e-pharmacy, e-diagnostics, e-consultations, and offline stores, and is a preferred partner for leading hospitals across India. The platform enables consumers to make informed healthcare decisions and access cost-effective solutions.

Know more about us: https://www.1mg.com/aboutUs

About the Team

The Advanced Analytics team at Tata 1mg sits at the core of business decision-making, driving high-impact initiatives across supply chain, pricing, retention, working capital, and institutional business. The team operates with an AI-first mindset, leveraging cutting-edge tools and analytical frameworks to solve complex business problems at scale. With a strong focus on ownership, speed, and measurable outcomes, the team partners closely with leadership across functions to build scalable, data-driven solutions.

What you will do:

- Lead end-to-end analytical projects across business verticals, from problem structuring and deep-dive analysis to solution design and production deployment with clear business impact

- Embed AI tools across the analytical workflow, including data exploration, modelling, insight generation, and stakeholder communication to improve speed and quality of delivery

- Identify opportunities to automate and enhance analytical processes using AI-driven solutions, reducing manual effort and improving scalability

- Build robust and scalable analytical frameworks across areas such as inventory optimisation, pricing sensitivity, retention, growth, and financial insights

- Translate complex business problems into structured analytical approaches and deliver actionable, data-backed insights

- Communicate insights effectively to senior leadership by translating complex analytics into clear, concise, and actionable narratives

- Drive alignment across cross-functional teams without direct authority through strong stakeholder management and data storytelling

- Mentor and guide junior analysts on technical capabilities and AI-first ways of working, fostering a culture of ownership and accountability

What we are looking for:

- 6+ years of experience in advanced analytics, preferably in a high-growth consumer tech, e-commerce, or similar environment

- Strong hands-on expertise in SQL and Python for data extraction, analysis, modelling, and pipeline development

- Proven experience in building predictive models, statistical frameworks, and optimization solutions across business use cases

- Demonstrated AI-first mindset with active usage of AI tools (LLMs, copilots, generative workflows) to enhance analytical output

- Strong problem-solving skills with the ability to handle ambiguity and convert business questions into structured analytical solutions

- Experience in owning complex, cross-functional projects end-to-end with measurable business outcomes

- Proficiency with BI tools such as Tableau, QuickSight, or similar platforms

- Excellent stakeholder management and communication skills, with the ability to influence senior leadership

- Experience mentoring junior team members and contributing to team development

- Bachelor's or Master's degree in Engineering, Statistics, Mathematics, Economics, or a related field

Why join us?

Tata 1mg provides one of the most exciting and high-growth environments to work in. You get the opportunity to work with a trusted legacy brand backed by the Tata Group while experiencing the agility of a fast-paced startup. The organization fosters a culture of ownership, innovation, and continuous learning, making it an ideal place to build a meaningful career.

Disclaimer

Tata 1mg is proud to be an Equal Opportunity Employer. All employment decisions at Tata 1mg shall be made without discrimination, harassment, or bias based on age, gender, physical ability, ethnicity, religion, nationality, marital status, sexual orientation, or any other protected characteristic. All employment decisions are based on business needs, job requirements, competence, and merit.