Data Analyst

Founded in 2015, PasarPolis is Southeast Asia's undisputed insurtech leader in Indonesia that is challenging industry norms and rebuilding insurance experience by making insurance accessible and affordable for everyone through harnessing technology to deliver innovative and practical products, with a purchase and claims experience that is seamless and fast.

Pioneers of the Insurtech sector in Indonesia, the company's objective is to democratize insurance by empowering all consumers through PasarPolis' platform, partners have access to a highly scalable AI-powered platform that facilitates easy onboarding, flexible product creation, and a claims portal. Following the company's positive consumer response in Indonesia, PasarPolis has now expanded to other Southeast Asian markets, including Thailand and Vietnam.

PasarPolis has demonstrated exponential policy growth since closing of its Series A round in August 2018 participated by three Indonesian biggest unicorns - Gojek, Tokopedia and Traveloka - with the number of monthly policies issued growing more than 80 times ever since. The Company has successfully expanded across the region. To date, we are currently present in Indonesia, Vietnam, Thailand, and we have an R&D Center in India.

In August 2020, PasarPolis completed a US$54 million Series B funding round, which is considered the largest Series B funding recorded for an insurtech firm in Southeast Asia, and potentially it is also the biggest disclosed investment round for insurtech firms in the region. The round included participation from LeapFrog Investments, SBI Investment, Alpha JWC, Intudo Ventures, Go-Ventures and Xiaomi Ventures and will be used to support the company's growth plan. In February 2021, PasarPolis secured US$5 million funding from World Bank's sister organization International Finance Corporation (IFC).

All of the above milestones are only achievable due to the trust of all our key stakeholders, including our wonderful PasarPolis talented and hard-working team members who continue to provide outstanding contributions, care and service, day in and day out In PasarPolis we believe that employees are valuable capital for the organization. This year, PasarPolis became a winner of HR Asia Best Company to work for by HR Asia Awards. We are looking forward to welcoming you to join us in our diverse, passionate and innovative team by delivering insurance for all through technology.

About the Role

• We are looking for a highly analytical, detail-oriented 
  Data Analyst
   to join our fast-growing insurance technology team. You will play a critical role in turning raw operations, claims, and customer data into actionable insights that directly shape underwriting, pricing, product design, claims automation, and customer experience.
• As a Data Analyst, you will work closely with Product, Underwriting, Actuarial, Claims, Engineering, and Growth teams to improve business performance and help build a data-driven insurance ecosystem.

Key Responsibilities

1. Business & Insurance Analytics

• Analyze loss ratios, claim severity, and claim frequency by channel, product, TSI, location, and vehicle type.
• Build dashboards for claims performance, fraud detection signals, and agent/broker performance.
• Conduct product performance reviews: conversion rates, funnel metrics, churn, retention, policy lapses, and profitability by segment.

2. Data Exploration & Reporting

• Perform exploratory data analysis (EDA) across large datasets (policy, claims, FNOL, telematics, trip data, CRM).
• Develop automated daily/weekly/monthly reports using SQL, Python, and BI tools.
• Maintain data quality pipelines, identify anomalies, and propose corrective actions.

3. Experimentation & Insights

• Design A/B tests and analyze results to improve pricing, claims flows, customer onboarding, and marketing campaigns.
• Build insights that support product decisions (e.g., UX enhancement, new coverages, embedded insurance journeys).

4. Cross-functional Collaboration

• Work with engineering on data ingestion, data warehousing, and schema improvements.
• Partner with actuarial to align assumptions for loss cost modeling and portfolio monitoring.

• Support compliance teams by preparing accurate reports for OJK, reinsurers, and internal audits.

• Job Requirement :

Must Have

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Actuarial Science, Engineering, or related field.
• 2–4+ years of experience in Data Analytics (experience in Insurance, Fintech, or SaaS is a strong advantage).
• Strong proficiency in SQL; able to write complex joins, window functions, and aggregations.
• Strong skills in Python for data manipulation and visualization.
• Experience building dashboards and automated reports.
• Ability to translate data into clear business recommendations.
• Comfortable working with messy data and large datasets.

Nice to Have

• Experience with insurance datasets (policy, claims, underwriting, partner/agent performance, telematics).
• Knowledge of actuarial or risk modeling concepts (loss cost, severity distribution, frequency modeling).
• Familiarity with machine-learning models used in insurtech (fraud detection, vehicle recognition, risk scoring).
• Basic understanding of OJK regulations related to insurance reporting and tariff bands.
• Experience working in high-growth startups or technology-driven environments.
• Familiarity with dbt, Airflow, or similar ETL orchestration tools.