Senior Data Analyst

indrive; Jakarta Pusat; On-site; IDR 400,000,000 - 750,000,000; Full time

Job summary

Jobtailor in Jakarta is seeking an experienced analytics and forecasting professional to own the forecast, support planning cycles, and build scenario analyses for pricing and market expansion. You will maintain dependencies between supply, demand and financial metrics while translating business questions into measurable forecasting problems.

The role requires strong Python (pandas) and SQL skills, experience with BigQuery/Databricks, and the ability to communicate assumptions clearly to senior

Qualifications

• 4+ years in analytics, forecasting or planning roles across marketplace or product analytics.
• Strong understanding of plan/fact cycles, target setting and driver-based models.
• Practical command of time-series forecasting with regressors and seasonality.
• Proficient in Python (pandas) and able to extend production codebases.
• Advanced SQL and handling large datasets in cloud warehouses.
• Rigorous validation with baselines and business-impact metrics.
• Experience with end-to-end data and model integration testing.
• Professional working proficiency in English for stakeholder communication.
• Nice to have: mobility/marketplace or supply-demand systems background.
• Nice to have: experience in FP&A, S&OP or budgeting processes.
• Nice to have: econometrics, causal inference, and marketing-response models.

Responsibilities

• Own the forecast as a decision-making product and explain variances.
• Support planning cycles with baselines for target setting and budgeting.
• Build and run scenario analyses for pricing, incentives, and launches.
• Maintain dependency logic linking supply, demand, and financial metrics.
• Translate ambiguous questions into measurable forecasting problems.
• Communicate assumptions and limitations to business and technical audiences.
• Run and monitor daily and monthly forecasts with data integrity checks.
• Investigate anomalies from inputs to forecast outputs.
• Improve models pragmatically using baselines and validation.
• Maintain readable, documented, version-controlled Python solutions.

Skills

Python (Pandas Ecosystem)

Advanced SQL

Time-Series Forecasting

Forecasting Model Validation

Scenario Analysis

English Proficiency

Tools

BigQuery

Databricks

Git

GitHub Actions

CI/CD

Job description

• Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers, and explain why numbers changed
• Support company planning cycles by providing forecast baselines for target setting and budgeting and 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
• Translate ambiguous business questions into measurable forecasting problems
• Communicate assumptions, uncertainty, and limitations to business and technical audiences
• 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 transformations to forecast outputs
• Improve models pragmatically using baselines, honest validation, and measurable planning value
• Maintain a readable, documented, version-controlled Python solution

Requirements

• 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
• Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data
• 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
• Comfortable investigating issues across data, model, and integration boundaries
• Professional working proficiency in English and ability to defend a number in front of 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
• Technology environment: Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions

Core Competencies

Demonstrates expertise in analytics and forecasting, with a strong command of Python and SQL for data analysis and model validation. Capable of translating complex business questions into actionable forecasting insights while effectively communicating with stakeholders.

Highest-signal resume keywords

• Python (Pandas Ecosystem)
• Advanced SQL
• Time-Series Forecasting
• Forecasting Model Validation
• Scenario Analysis

Hard Skills

• Analytics
• Forecasting
• Planning
• Driver-Based Models
• Unit Economics
• Data Validation
• Statistical Analysis
• Causal Inference
• Hierarchical Forecasting
• Market Expansion Analysis

Soft Skills

• Communication
• Problem-Solving
• Collaboration
• Critical Thinking
• Stakeholder Engagement

Industry Keywords

• Supply and Demand Systems
• Financial Planning
• S&OP
• Budgeting Processes
• Marketplace Analytics

Tools & Technologies

• BigQuery
• Databricks
• Git
• GitHub Actions
• CI/CD