# Associate Analytics Team Leader — Intercity at Indrive

> Hybrid · Kazakhstan · Junior · Analytics / Data science · open. Source: https://alderhq.app/jobs/pinpoint%3Aindrive%3A561414 (read 2026-11-08).

## Facts (observed)

- Company: [Indrive](https://alderhq.app/companies/indrive)
- Location text: Kazakhstan, Almaty Special District
- Where it can be done from (inferred): Hybrid · Kazakhstan (evidence: "Location: Kazakhstan, Almaty Special District")
- Posted: already open when tracking began; date unknown
- First seen by alder: 2026-11-04 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://indrive.pinpointhq.com/en/postings/528b6b30-ea7f-4bd2-adc3-2446524e3232
- Skills listed (inferred): Python, SQL

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

You will lead analytics for our Intercity vertical — a core business driving long-distance travel across cities. This includes car-based rides as well as partner transportation networks such as buses and other regional operators. Your mission is to uncover opportunities for growth, optimize pricing and demand-supply balance, and help shape the future of intercity mobility for millions of users.

You will manage a team that partners closely with product, operations, and marketing to improve unit economics, drive market expansion, and deliver a seamless experience for both passengers and drivers. From building forecasting models and demand-planning tools to analyzing new market entry strategies and measuring the impact of promotional initiatives, your work will directly influence business-critical decisions.

In this role, you will act as a trusted advisor to product and business stakeholders — aligning analytics with strategic priorities, driving data-informed decisions, and creating scalable processes for the fast-growing Intercity vertical.

### Responsibilities

- Lead, mentor, and develop the analytics team, supporting performance, growth, and professional development
- Define and drive the analytics strategy, roadmap, and standards aligned with business and product objectives
- Oversee key metrics, experimentation, and analytical outputs to ensure quality, consistency, and impact
- Partner with product, engineering, and business leaders to embed data-driven decision-making across the organization
- Establish and continuously improve analytics processes, documentation, and governance
- Ensure data quality, integrity, and effective cross-team data collaboration
### Skills

- 5+ years of experience in data analytics or data science
- 2+ years of people management, leadings of 5+ people
- Analytical mindset: structured and critical thinking, the ability to find a balance between the resources spent and the effect on the business
- Strong mathematical background with an emphasis on mathematical statistics, optimization theory, time series and causal inference
- Proficiency in Python and data analysis libraries
- Proficiency in SQL: ability to work with large amounts of data, write and optimize complex queries, create analytical data marts
- Experience in creating BI reports: Plotly / Redash / Tableau
- English: Professional Working Proficiency
### Benefits

- Help us challenge injustice by creating fair choices for millions of people across 47 countries.
- Develop your professional skills with access to mentoring, career consulting, and learning programs.
- Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
- Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
- Work alongside people who take initiative, speak openly, and challenge themselves to grow.
- Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/pinpoint%3Aindrive%3A561414 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.