About Loadshare:

LoadShare is a fast-growing, asset-light logistics platform powering intra-city (food delivery, quick commerce, e-commerce). Our proprietary tech onboards and manages hundreds of thousands of delivery partners-moving over 4 Lakh shipments daily on our ops and 25 Lakh shipments daily on our SaaS.

Founded in 2017 and now a Series C startup, LoadShare is backed by Tiger Global, Matrix, Stellaris, and CDC. We're on track for a 20 scale-up in the next few years. If you want to build mission-critical analytics at the intersection of tech and logistics, Loadshare is where you'll make it happen.

What You'll Own

- End-to-End Metric Ownership- You'll own our core business growth metrics-acquisition, activation, retention, referral and revenue. Design and maintain live dashboards, set weekly targets, and lead business reviews.

- Data-Driven Opportunity Identification - Brainstorm problem statements and convert business problem statements into data problem statements. Identify highest-impact ideas for product or process improvements.

- Run & Learn from Experiments- Plan simple A/B or pilot tests, track the right metrics, analyze results, and recommend whether to scale or roll back.

- Insight Storytelling- Turn complex analyses into crisp, narratives, reports, and dashboards that guide executive decisions.

- Data QA & Automation- Review reports for accuracy before they go live, identify and fix data quality issues, and build or automate ETL pipelines.

- Cross-Functional Collaboration - Work closely with Product, Marketing, Sales and Support teams to translate your insights into prioritized roadmaps and process changes.

- Cross-Functional Collaboration - Work closely with Product, Marketing, Sales and Support teams to translate your insights into prioritized roadmaps and process changes.

What We're Looking For

- 3+ years in Product/Growth Analytics - Direct experience owning funnel metrics (e.g., MAU, activation, retention cohorts).

- Analytics capabilities- You're comfortable writing SQL queries across multiple tables, and have advanced understanding of Python and data manipulation packages (Pandas, Numpy).

- Strong Statistics & Experimentation- Comfortable with statistical methods and data patterns (regression checks, simple clustering, A/B-test analysis).

- Dashboard & Visualization Expertise- You build and maintain visual reports and dashboards in Metabase, Looker, Tableau or similar that drive decisions.

- Collaborative Problem Solver- You can structure problems, partner seamlessly with diverse teams to solve the problems in a way that shows business impact.

- Bias for Action & Ownership- If data or dashboards don't exist, you build them yourself-no hand-offs.

- Exceptional Communication- Clearly explain data findings and insights to technical or non-technical stakeholders.

- Continuous Improvement & Innovation- Regularly seeks feedback and experiments with new approaches.

- Preferred background- We think someone with a top-tier engineering education, along with experience at a fast-growing B2C startup, could be the right fit.