Senior Data Analyst

inDrive; Indonesia; On-site; IDR 334,800,000 - 669,600,000; Full time

Job summary

inDrive is seeking a Senior Data Analyst to own the Forecasting product that translates marketplace data into daily and monthly forecasts. You will manage a production solution (Python, BigQuery) that serves finance and leadership, ensuring credible numbers and actionable insights.

The role focuses on understanding how pricing, incentives, and events move metrics, and communicating assumptions and risks to senior stakeholders.

Qualifications

• 4+ years in analytics, forecasting or planning roles in marketplaces or product analytics.
• Understanding of plan/fact cycles, target setting, driver-based models and unit economics.
• Practical command of time-series forecasting with seasonalities and regressors.
• Proficiency in Python (pandas) to maintain production code.
• Advanced SQL and experience with large datasets in a cloud data warehouse.
• Rigorous validation with metrics tied to business impact.
• Ownership mindset across data, model, and integration layers.
• Business English communication to defend numbers before leadership.

Responsibilities

• Own the forecast as a decision-making product: track plan vs actual and explain changes.
• Support planning cycles: baseline forecasts for budgeting and align with finance.
• Build and run scenario analyses for pricing, incentives, and marketing.
• Maintain dependency logic across supply, demand, and financial metrics.
• Translate business questions into measurable forecasting problems and communicate assumptions clearly.
• Run and monitor daily and monthly forecasts with data quality checks and drift analysis.
• Investigate anomalies end-to-end and improve production models pragmatically.
• Keep the codebase readable, documented and versioned.

Skills

Forecasting

Python

SQL

English

Stakeholders

Analytics

Tools

Python

BigQuery

Databricks

Git

Job description

Senior Data Analyst

Department: Analytics Department

Employment Type: Full Time

Location: Indonesia

Description

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.