Data Analyst

Company Description

Carousell is a multi-category classifieds and recommerce marketplace that makes selling as easy as taking a photo, buying as simple as chatting. Carousell is available in Singapore, Hong Kong, Indonesia, Malaysia, the Philippines and Taiwan. The Carousell marketplace has a diverse range of products across a variety of categories, including cars, lifestyle, gadgets and fashion accessories. To increase the trust and convenience in buying and selling secondhand, Carousell has launched recommerce programmes such as the Carousell Certified programme that allows users to buy secondhand items that have been inspected, and Sell to Carousell programme that allows users to sell directly to Carousell for instant cash. Download the app for iOS or Android, and visit www.carousell.com for more information.

Job Description

• Be responsible for building relationships with business and product stakeholders across the Carousell organization, understand their needs and data requirements and providing relevant data reports, visualisations, analysis and meaningful insights in a timely manner

• Support the various business or product functions of the company with the maintenance and generation of business management, operational, and product feature reports

• Be able to spot patterns and trends in our data, generate insights and hypotheses, and propose solutions to address business or product problems.

• Be able to identify gaps and issues in our data and resolve them, and propose long term solutions to better increase our data integrity from the moment the data is collected, ingested, stored and processed

Qualifications

• Has 2+ years of relevant applied experience with a degree in computer sciences, engineering, mathematics, statistics, data science or a related degree program with outstanding academic results

• Strong familiarity with data frameworks and tools (SQL, R or Excel) and a programming languages such as Python

• Data-driven and passionate about solving problems through data

• Inquisitive and curious to delve deep into data to investigate trends or anomalies

• Familiarity with experiment design and analysis

• Familiarity with events tracking

• Detail oriented and be able to work efficiently in a fast-paced team environment

• Visualise and communicate findings and data insights to various stakeholders in a coherent and logical manner

• Keen on data technologies and picking up new skills and tools along the way

• Strong critical thinking and ability to frame issues in a logical manner

Additional Information

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