Product Data Analyst Intern

Technology / Internship

About the job

Based in Singapore, Lumens Group is a family of brands offering an ecosystem of services around cars. Our story began as a private hire car leasing company to address the needs of the new sharing economy led by Uber and Grab. Our core business has been leasing to ride hailing drivers and we grew our car fleet to one of the largest in Singapore in under 8 years. During this time, we have expanded our services to personal & corporate vehicle leasing, vehicle purchasing and financing.

Emerging strong from the Covid-19 period, Lumens is building for an exciting new era that brings in a wide range of merchants and individual consumers to our ecosystem. By owning a critical mass of vehicles and driver relationships, we are able to innovate on vehicle setup, driver upskilling & deployment, as well as technology and data capabilities to build mobility platform services that impact our everyday lives.

Your role

Assist in developing and optimizing data pipelines, including ETL and integrating data from diverse sources such as online Excel files, web APIs, and cloud databases.

Conduct end-to-end product and customer analysis, including exploratory data analysis, to identify anomalies, uncover trends, and discover growth opportunities in product and customer insights.

Collaborate with cross-functional teams to understand business processes and proactively develop data-driven solutions.

Continuously explore and adapt to emerging technologies and methodologies in analytics and data science.

What we are looking for

Currently pursuing a Diploma/Degree in Mathematics, Business Analytics, Data Science, Statistics, Computer Science, or a related field.

Some proficiency in Python (Pandas, NumPy, matplotlib, scikit-learn, etc), SQL or similar programming languages.

Solid understanding of mathematical and statistical principles, with excellent academic performance in these areas.

Familiarity with cloud database platforms, such as Google Cloud Platform (GCP), and their application in data management and analysis.

Join Us

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