Analyst - Growth Analytics

At Apna, data is central to how we build products, understand users, improve employer outcomes, power recommendations, and scale decision-making. This role gives you the opportunity to build the backbone of Apna’s data platform and influence how data is used across the company.

You will work on real-world, high-scale problems across jobs, users, employers, communities, matching, growth, and AI-driven systems.

We're hiring an Analyst for our Growth Analytics team, working at the intersection of data science, business analytics, and strategy for a large-scale, SMB-focused jobs marketplace. You'll partner closely with our Demand & Supply, Sales, and Product teams to solve two-sided marketplace problems — matching job demand with candidate supply, forecasting where gaps will open up, and driving measurable interventions.

This is a high-ownership role. You won't just pull numbers; you'll frame the problem, choose the right method, and turn the answer into a decision leadership can act on.

• →Build and maintain SQL-based analytics on large distributed datasets (Presto/Trino), spanning candidate and job-market analysis, revenue streams, cohort/retention tracking, and conversion funnels(Python knowledge is a plus).
• →Build and maintain interactive Tableau dashboards to track key metrics in real time, enabling stakeholders to self-serve insights without ad hoc requests.
• →Own demand and supply forecasting: build top-down and bottom-up projection models, and flag surplus/deficit pockets at cluster and segment level before they become problems.
• →Translate analysis into executive-ready deliverables — polished Word and Excel reports, leadership summaries, and occasionally market-facing / PR content for senior stakeholders.
• →Partner cross-functionally to size opportunities, pressure-test hypotheses, and recommend concrete interventions — then help measure whether they worked.
• →Proactively surface analytical gaps and give honest assessments, including when a hypothesis isn't supported by the data.

• 2–4 years in analytics or data science, ideally in a marketplace, consumer-internet, or high-growth environment.
• Strong SQL — comfortable with window functions, multi-CTE queries, and large-scale distributed data (Presto/Trino a plus).
• Ability to take a messy, ambiguous business question and turn it into rigorous, well-scoped analysis with a clear narrative.
• Strong written and verbal communication — you can write for a CEO and present crisply to leadership.
• Rigorous, detail-oriented, and intellectually honest; you double-check your numbers and are willing to retract a finding when the method doesn't hold up.

• Hands-on experience with demand forecasting and demand-supply management, with a track record of taking initiatives that solved real supply/demand imbalances.
• Tier-1 college background (IIT / NIT / BITS or equivalent).
• Experience with two-sided platforms or marketplaces.