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Open nowPosted 81 days ago

Data Analyst Intern

Workable (global search)108,016 open roles

Where
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
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Your applicationOpen nowData Analyst InternWorkable (global search) · Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
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7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

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  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 81 days ago

Workable (global search) median: 7 days open

The posting

ABOUT US:

PolicyStreet Group is a full-stack insurance technology (insurtech) group of companies providing digital insurance solutions to businesses and consumers across Asia and Australia.

The Group operates through multiple entities across its key markets and business lines, including its insurance distribution, embedded insurance, and reinsurance arms. It partners with over 40 insurance and takaful providers globally to deliver employee benefits and group insurance solutions, insurance aggregation services, and digital infrastructure that simplifies insurance.

PolicyStreet Group is backed by leading venture capital firms Altara Ventures and Gobi Partners, as well as sovereign wealth funds Khazanah Nasional Berhad and Cool Japan Fund. The Group serves over 10 million customers with more than US$10 billion in sum insured. It was featured in the Financial Times and Statista’s Top 500 High-Growth Companies Asia-Pacific 2026 list and named “Most Disruptive Insurtech in Malaysia” at the Insurance Asia News (IAN) Country Awards for Excellence 2025.

WHAT YOU'LL DO

  • Assist in collecting, cleaning, and organising data from various sources.
  • Conduct exploratory data analysis to identify trends, patterns, and insights.
  • Support the development and maintenance of dashboards and reports for internal stakeholders.
  • Collaborate with cross-functional teams to understand data needs and provide analytical solutions.
  • Perform data validation and quality checks to ensure accuracy and reliability of data.
  • Assist in developing and implementing data-driven strategies to improve business processes.
  • Participate in team meetings and contribute to discussions on data analysis and interpretation.

Requirements

WHAT WE EXPECT OF YOU

  • Final year diploma or Bachelor's degree in Data Analyst, Statistics, Mathematics, Computer Science, or a related field.
  • Strong analytical and problem-solving skills with a keen attention to detail.
  • Excellent communication and interpersonal skills.
  • Proficiency in Microsoft Office suite (Word, Excel, PowerPoint).
  • Intermediate experience with SQL and data visualisation tools (e.g. Looker Studio).
  • Experience with statistical analysis software (e.g., R, Python) is an advantage.
  • Ability to work both independently and collaboratively within a team.
  • Eagerness to learn and take on new challenges in a fast-paced environment.

Benefits

PERKS YOU’LL GET TO ENJOY WHILE WORKING HERE!

  • Collaboration with a talented and youthful team that makes the work and learning a lot more fulfilling and fun.
  • And a well stocked pantry!

Join Our Team in Shaping the Future of Insurance

As a homegrown startup that seeks to innovate how we use and think of insurance, we value teammates who think big, challenge the old ways, and take extreme ownership.

In PolicyStreet, we aim to do better, to serve people better. We are committed to pushing boundaries of innovation and to develop Purposeful and Simple insurance solutions for businesses and consumers, narrowing the protection gap and improving financial inclusivity in the region.

If you are driven to make change, keen to be at the forefront of insurance innovation, and grow with a team of talented and motivated people, we’d be just as excited to get to know you too!

Find out more about us via our website at www.policystreet.com.

At PolicyStreet, we uphold the principles of equal opportunity and embrace diversity. We are committed to a workplace free from discrimination based on race, religion, colour, gender, sexual orientation, age, marital status, veteran status, or disability status.

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