Senior Consultant

You can become a part of

… a truly aspirational brand and one of India’s fastest-growing fintech companies, BharatPe offers a wide range of financial services and products for merchants, kirana store owners, and consumers. Valued at $2.85 billion in just over 5 years, we serve over 1.7 crore merchants across 450+ cities, processing more than ₹12,000 crore in monthly TPV and 450 million UPI transactions.

Our offerings include:

• QR & PoS Payments for seamless transactions
• Merchant Lending via NBFC arm, Trillion Loans
• Consumer Credit
• Investment Products
• Loyalty Programs with Zillion Rewards

In April 2025, we received RBI authorization for our payment aggregator license under BharatPe X, enabling deeper reach in Tier 2 and 3 cities. At the Firm and Center, our team drives BharatPe’s niche strategy, leveraging data and innovation to empower small businesses and retailers.

We embrace an evolving space full of opportunities to build for Bharat, valuing diverse perspectives and collaboration. We work hard, have fun, and together, aim to “change the game.”

In this role, you have the opportunity to

You will be.

• Drive both foundational analytics and strategic initiatives, acting as a hands-on insights partner to business, product, and tech teams.
• Take ownership of complex problem-solving using data, and implement frameworks that turn insights into impactful, measurable business outcomes.
• Lead adoption of AI-powered tools, LLMs, and intelligent agents to increase speed-to-insight and simplify complex workflows.
• Develop scalable segmentation strategies using clustering, embeddings, and behavioral signals to enable personalization and targeted interventions.
• Coach peers and junior team members while shaping the analytics roadmap and data strategy for key business units.

Responsibilities will include;

• Design and implement scalable data models and data warehousing frameworks (BigQuery/SQL-based) to standardize business metrics, enable reliable reporting, and support self-serve analytics across teams.
• Lead end-to-end experimentation, including A/B testing, causal inference, significance measurement, and post-implementation validation
• Partner with stakeholders to define key problems, frame hypotheses, and execute analytical approaches that lead to business growth, monetization, and engagement uplift
• Drive cross-functional collaboration across analytics, product, engineering, and business teams to align data definitions, prioritize analytical initiatives, and ensure seamless execution of data-driven projects.
• Incorporate AI tools and LLMs (e.g., OpenAI, Google PaLM, Gemini, Claude) into everyday analysis to boost productivity and automate repetitive insight generation tasks
• Develop and share reusable prompt libraries, AI agents, or workflows for root cause analysis, reporting, summarization, and metric explainability
• Champion the use of data storytelling and dashboarding (Looker, Power BI, Tableau) to deliver high-quality insights across the org
• Upskill in and drive adoption of advanced analytics and AI capabilities within the team (e.g., embeddings, vector search, BQ ML models)

To succeed in the role;

Qualifications

B.Tech / M.Tech /Masters/ PhD in Statistics, Economics, Computer Science, Engineering or related areas.

4-7 years of progressive business experience involving data analysis, COE roles and business strategy.

Skills, experiences & behaviors

SQL (Advanced) – Strong ability to query, analyze, and optimize large datasets

Google BigQuery + BQML – Experience in data transformation, modeling, and applying ML to support analytics

Python – Used for data analysis, automation, and scripting to drive business insights

Tableau / Power BI / Looker – Skilled in building dashboards and enabling self-serve analytics

LLMs and AI Agents – Practical experience using Large Language Models and AI agents to automate workflows, enhance insight generation, and improve data interpretation

Data Segmentation – Familiarity with clustering and grouping techniques for effective customer cohorting

Experimentation – Experience with A/B testing and analyzing business impact of initiatives

Process Automation & Gap Analysis – Strong focus on identifying business/data gaps, driving new initiatives, and supporting revenue growth through data-driven automation

Financial Institution or Payments experience a plus. Lending/risk business experience will be preferred.

You will be resilient and adaptable. BharatPe is a fast-growing company with an ambitious data roadmap. While exposure to this environment would be advantageous, the flexibility and resilience to thrive in it are essential.

Passion for understanding the key drivers within a complex business, being able to assimilate multiple data points to diagnose complex problems and deliver practical solutions and recommendations.