Data Analyst - Insurance

Borr Drilling; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading company in the travel industry seeks a Data Analyst in Singapore for its insurance product domain. The role involves analyzing customer needs, developing metrics, and utilizing data to drive business decisions. The ideal candidate has at least 2 years of analytics experience and a strong quantitative background, working collaboratively in a dynamic environment.

Qualifications

• Minimum 2 years of analytics experience in an industry setting.
• Experience with large and messy data required.
• Strong in data manipulation and inferential statistics with Python and SQL.

Responsibilities

• Understand insurance products and their market impact.
• Develop actionable dashboards for decision makers.
• Work on tactical and strategic questions affecting the business.

Skills

Data manipulation

Inferential statistics

Collaboration

Analytical thinking

Curiosity

Education

Bachelor degree in a quantitative subject

Tools

Python

SQL

BigQuery

GitHub

Airflow

Google Cloud Build

Job description

It's fun to work in a company where people truly BELIEVE in what they're doing!





Job Description

Traveloka is one of the largest Online Travel Agencies (OTA) in Southeast Asia. Offering financial products to support purchasing power and protecting our users provides the opportunity for tremendous innovation, and requires balancing risk that does not exist in other domains. With our expanding product and market footprint, we have several openings in our Insurance product domain.

As a Data Analyst (DA) for the Insurance product at Traveloka, you will work in a diverse team of Data Analysts, Scientists and Engineers as critical partners to the business. Our focus is on growing a sustainable ecosystem by providing our customers with various protection offerings suitable to their needs.

We need you to be a do-er, and when you find interesting questions, you never let them sit for long without answers. You examine the available data from the lens of proactively thinking about the needs of our customers and the business, anticipating customer needs and market trends. DAs are critical roles within our business and you know that you can make the greatest impact by gaining in-depth and comprehensive business domain knowledge, and judiciously applying your analytical talents to the domain.

In turn, we’ll provide you with a mature analytics environment to work in. Reproducibility and full version control is a default in our systems so that you can easily learn from your teammates and build on foundations that have already been developed. Our collaborative team will ensure that you’re more productive than you’ve ever been in a few short months.

Our techstack: BigQuery, dbt, Python, Github, Airflow, Google Cloud Build

Main Responsibilities

• Understand the insurance products, our customers, the market environment and the interplay between each of these. Be able to analyze how changes in any of these will affect various metrics, and come up with new metrics to guide the business.
• Develop dashboards not just for monitoring, but to produce actionable insights that decision makers can use to steer the business.
• Work with the business to answer tactical questions, often via our experiments platform, that will affect the development of product features.
• Work with the business to answer strategic questions that will affect the long-term goals of the business.
• Develop ETL pipelines within a robust framework that is highly automated and does not require a large team to maintain and monitor.
• Understand when speed is more important than accuracy in arriving at an analytical result for the business to make a decision.
• Enable our key stakeholders to improve their understanding and analytical power.
  
  

Requirements

• Minimum 2 years of analytics experience in an industry setting
• You have to be curious and hungry to learn, as well as excited to share knowledge with other team members
• Experience with large and sometimes messy data
• Comfortable working with open-ended questions and potentially ambiguous problem statements
• Experience in collaborating with people outside your domain to deliver impact
• At least a Bachelor degree in a quantitative subject, e.g. finance, financial mathematics, computer science, mathematics, physics, bio-informatics, engineering
• Strong in data manipulation and inferential statistics with Python and SQL
• Existing business domain knowledge in any financial service product (lending/insurance/payment/etc.) is preferred but not required
  
  

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!