data analyst in marketplace forecasting

inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of core supply, demand, and financial metrics. These forecasts support target setting, financial planning, and scenario analysis for business teams and leadership.

• Own the forecast as a decision-making product by tracking plan versus actuals, decomposing variances into business drivers, and explaining changes in business terms;
• Support company planning cycles with forecast baselines for target setting and budgeting, aligning assumptions with finance and business stakeholders;
• Build and run scenario analysis for pricing changes, incentive and marketing spend, product launches, and market expansion;
• Maintain dependency logic connecting supply, demand, and financial metrics across markets;
• Translate ambiguous business questions into measurable forecasting problems and communicate assumptions, uncertainty, and limitations;
• Run and monitor recurring daily and monthly forecasts, including data completeness, sanity checks, and run-over-run drift;
• Investigate anomalies end to end from inputs and business transformations to forecast outputs;
• Improve models through baselines, honest validation, and model choices driven by measurable planning value;
• Maintain the solution with readable Python, documentation, and versioned changes.

• 4+ Years in analytics, forecasting, or planning roles;
• Strong understanding of plan/fact 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 with the pandas ecosystem and the ability to maintain and extend production code;
• Advanced SQL and experience with large datasets in a cloud data warehouse;
• Rigorous validation habits, including appropriate baselines, no data leakage, and error metrics tied to business impact;
• Ownership mindset and comfort investigating issues across data, model, and integration boundaries;
• Professional working proficiency in English;
• 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, hierarchical forecasting across multiple markets, production batch pipeline experience, BigQuery, Git-based workflows, CI/CD.

• Access to mentoring, career consulting, and learning programs;
• Global Talent Exchange Program;
• Company-wide challenges, awards, sports activities, social impact, and volunteering projects;
• Co-financed language courses and internal speaking clubs;
• Benefits may vary depending on the location.