Associate– Analytics

1 week ago


Bengaluru, Karnataka, India smallcase Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About the role

At smallcase, we are looking for an Associate to strengthen our Analytics & AI/ML capabilities. In this role, you will partner with business and product teams to enable data-backed problem solving and drive the adoption of AI/ML across key use cases.

You will play a key role in:

  • Managing analytics projects that inform business and product decisions

  • Identifying opportunities to apply AI/ML within workflows, decision systems, and customer experiences

  • Building scalable processes and insights to support data-driven decision-making

  • Mentoring team members and ensuring smooth collaboration across stakeholders

  • With strong expertise in analytics and a practical understanding of ML applications, you will help shape strategies, optimize processes, and improve product outcomes.

What You'll Be Doing

  • Manage end-to-end analytics initiatives across multiple product lines

  • Conduct advanced data analysis and develop predictive models to test hypotheses and solve business challenges

  • Collaborate with cross-functional teams to integrate AI/ML into business and product workflows (e.g., personalization, forecasting, automation)

  • Ensure data accuracy and reliability in partnership with product and engineering teams

  • Apply advanced analytics and experimental methodologies (A/B testing, funnel analysis, cohort analysis, etc.) to generate insights and measure impact

  • Translate data and ML outputs into clear, actionable recommendations for stakeholders

  • Encourage adoption of data-driven and AI-assisted decision-making within teams

What We Look for in You

  • 1-3 years of experience in analytics and/or AI/ML domains

  • Demonstrated ability to take initiatives from idea to execution (analytics projects, ML model deployments, or both)

  • Strong communication and stakeholder management skills

  • Hands-on experience with SQL, Python, Tableau, and MS Excel (exposure to ML frameworks such as scikit-learn, TensorFlow, or PyTorch is a plus; Mixpanel experience is also a plus)

  • Solid understanding of product analytics and ML techniques (classification, regression, clustering, recommendations, NLP, etc.)

  • A proactive mindset, with the ability to spot opportunities where data and AI can create impact

Scope of growth in this role:

  • Opportunity to manage analytics & AI/ML initiatives across business and product verticals

  • Gain exposure to defining practical applications of AI/ML while strengthening analytics foundations

  • Drive innovation at the intersection of data, technology, and investing

  • Be part of a fast-growing product with the chance to scale your impact across millions of users

About smallcase

At smallcase, we are changing how India invests. smallcase is a leading provider of investment products & platforms to over 10 million Indians. We're a young, driven team of 250+ headquartered in Bangalore. smallcase was founded in July 2015 by three IIT Kharagpur graduates, Vasanth Kamath, Anugrah Shrivastava and Rohan Gupta.

smallcase has been focused on offering innovative investing experiences & technology. Our platforms are used by over 300 of India's largest financial brands and most respected institutions. We are backed by world-class investors including top-tier funds, institutions and operators from the capital markets space who believe in our mission of enabling better financial futures for every Indian.

Life at smallcase

We are not just building a business, we are making a long-lasting impact both in the wealth & assets landscape with our unique technology & expanding ecosystem. Over the last 9 years, our team, products, and platforms have grown and so have our ambitions.

Innovation remains at the heart of what we do. Our other core values are transparency, integrity & long-term thinking. Our key asset has always been our people, and we empower individuals to build and do some of the best work in their lifetimes at smallcase. Flexibility, ownership and constant feedback loops are some of the ways we keep evolving the working environment.


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