The Role
Own inDrive’s forecasting product by monitoring daily and monthly forecasts, explaining plan-to-actual variances, supporting budgeting and target-setting cycles, running scenario analysis, and maintaining consistent supply, demand, and financial metric dependencies. Investigate anomalies across data and models, improve forecasting pragmatically, validate business impact, and maintain production Python and cloud data workflows while communicating assumptions and results to technical and business stakeholders.
Summary Generated by Built In
inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership.
We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence.
Key Responsibilities
Business & planning
- Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed
- Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders
- Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion
- Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets
- Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences
Forecast production
- Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift
- Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix
- Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication.
- Keep the solution maintainable: readable Python, documentation, versioned changes
Skills, Knowledge and Expertise
- 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science
- Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series
- Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models
- Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase
- Advanced SQL and experience with large datasets in a cloud data warehouse
- Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact
- Ownership mindset: comfortable investigating issues across data, model, and integration boundaries
- Professional working proficiency in English and the ability to defend a number in front of senior stakeholders
Nice to have:
- Background in mobility, marketplaces or other supply-and-demand systems
- Experience supporting financial planning, S&OP or budgeting processes
- Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback)
- Hierarchical forecasting across multiple markets
- Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD
Technology environment
Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job.
Why join us
- Help us challenge injustice by creating fair choices for millions of people across 48 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.
About
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. Ready to ignite your inner drive?
Skills Required
- 4+ years of experience in analytics, forecasting, or planning roles
- Strong understanding of business planning, plan-versus-actual cycles, target setting, driver-based models, and unit economics
- Practical command of time-series forecasting, including seasonality, holidays, external regressors, structural breaks, and missing data
- Confident Python skills, including the pandas ecosystem, for maintaining and extending production code
- Advanced SQL and experience working with large datasets in a cloud data warehouse
- Rigorous validation practices, including appropriate baselines, avoiding data leakage, and business-impact-focused error metrics
- Ability to investigate issues across data, model, and integration boundaries
- Professional working proficiency in English
- Ability to defend analytical conclusions and forecasts before senior stakeholders
- Background in mobility, marketplaces, or supply-and-demand systems
- Experience supporting financial planning, S&OP, or budgeting processes
- Experience with econometrics, causal inference, or marketing-response models
- Experience with hierarchical forecasting across multiple markets
- Experience owning or supporting production batch pipelines
- Experience with BigQuery, Git-based workflows, and CI/CD
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The Company
What We Do
inDrive is a global IT and transportation platform inDrive is one of the world’s fastest growing online ride-hailing services. Its services are available in over 749 cities in 46 countries throughout the world. The Company’s app has been downloaded over 150 million times. inDrive offers other services, including intercity transportation, freight and cargo services, as well as delivery services in different markets of operations. inDrive is based in Mountain View, California, and operates regional hubs in the Americas, Asia, the Middle East, Africa and the countries of the CIS, and employs over 2,000 people. In early 2021, inDrive achieved unicorn status after closing a $140m investment round with Insight Partners, General Catalyst, and Bond Capital, which valued the company at $1.23 billion.
