Analytics Team Leader

inDrive is a global tech company on a mission to challenge injustice through fair choices. We started in 2012 in the coldest city on Earth, when a group of friends created a way for people to agree on fair ride prices. That idea grew into one of the world’s top ride-hailing apps, now with 400M installs across 48 countries.

Today, we offer more than rides: from freight and delivery to intercity travel and financial services, all designed to put people first. We are committed to having a positive impact on people’s lives both through our core business, which supports local communities via a fair pricing model; and through the work of our impact programs.

• Own the analytics strategy and roadmap for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership.
• Build, grow, and develop a team of 11+ (analysts) — hiring, mentoring, and setting quality standards across the cluster.
• Lead Antifraud analytics: detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives.
• Drive Trust & Safety analytics: measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers.
• Oversee Customer Support analytics: assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance.
• Lead CX analytics: connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions.
• Guide Watchdocs analytics: the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience.
• Define and standardize metrics, definitions, and monitoring across the cluster; ensure data quality in partnership with DWH, DS, and Engineering.
• Establish best practices in experimentation (A/B testing), causal inference, forecasting, and effect measurement across the team.
• Partner cross-functionally at the company level (Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders.

• Skills, Knowledge and Expertise (as per job posting)

• Why join us (as per job posting)