Senior Data Analyst

Senior Data Analyst position at inDrive's Forecasting product team, responsible for owning forecasting solution, ensuring quality and credibility of numbers, supporting planning cycles, building scenario analysis, maintaining metric dependencies, translating business questions into forecasting problems, monitoring forecasts, investigating anomalies, improving models, and maintaining codebase.

Обязанности

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; 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

Требования

4+ years in analytics, forecasting or planning roles (marketplace or product analytics, demand planning, decision science); Strong understanding of business planning: plan/fact cycles, target setting, driver-based models, unit economics; see business metrics as connected system; Practical command of time-series forecasting: seasonality, holidays, external regressors, structural breaks, missing data; Confident Python (pandas ecosystem): able to maintain and extend 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 ability to defend a number before senior stakeholders; Nice to have: background in mobility, marketplaces or other supply-and-demand systems; Nice to have: experience supporting financial planning, S&OP or budgeting processes; Nice to have: econometrics and causal inference; marketing-response models (adstock, saturation, investment payback); Nice to have: hierarchical forecasting across multiple markets; Nice to have: experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD

Условия

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; Annual salary from EUR 70 700 gross; Final benefits may vary depending on the location

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