About Carousell
Carousell Group is the leading recommerce group in Greater Southeast Asia on a mission to inspire the world to start selling, and to make secondhand the first choice. Founded in August 2012 in Singapore, the Group has a leading presence in eight markets under the brands Carousell, Cho Tot, Laku6, Mudah.my, OneKyat, Ox Street, and Refash, serving tens of millions of monthly active users. Carousell is backed by leading investors including Telenor Group, Rakuten Ventures, Naver, STIC Investments and Sequoia Capital India.
As a team of passionate individuals working together to solve meaningful problems, there is so much more for you to discover in a career with Carousell. Our culture is made up of hiring, developing, and promoting people who embody our values of solving problems for our users; having a mission-first mindset; being relentlessly resourceful; caring deeply; and staying humble to constantly improve. Together as an organisation, we make magic happen.
You will:
Perform exploratory data analysis on large sets of data to extract practical insights that will help drive product, platform, and business decisions.
Communicate data-driven insights and recommendations to key partners; go beyond observations to useful insights to form impactful product roadmap.
Guide product managers on proper design & measurement of experiments for 2-sided marketplaces that drive iterative improvement on metrics.
Promote statistical thinking and rigor in how we create metrics and analyses that inform our day-to-day and strategic decisions.
Work closely with cross-functional teams of engineers, user researchers, product managers, product designers, and business decision-makers in launching impactful features in multiple domains.
Utilize a strong business acumen: deep knowledge of how to design KPIs, diagnostic metrics and benchmarks, including how to set effective targets to drive optimal outcomes.
Develop and articulate data stories and show them to your stakeholders.
Mentor and coach other data analysts.
Drive data self-service capabilities in the Product Team through training, documentation and more.
Leverage generative AI and analytics-oriented AI tools (e.g., ChatGPT, Gemini, internal AI agents) to accelerate data exploration, automate routine analysis, and improve insight generation.
Apply AI-assisted techniques such as semantic search, LLM-powered summarisation, anomaly detection, or clustering to uncover deeper insights in marketplace data.
Contribute to Carousell’s company-wide AI transformation by embedding AI-driven workflows into analytics processes (documentation, QA, experiment monitoring, reporting, and investigations).
QualificationsYou have:
Has 4+ years of relevant applied experience with a degree or higher in economics, psychology, computer science, statistics, or mathematics or another quantitative field.
Is an entrepreneurial problem solver & critical thinker, able to work autonomously & proactively, capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.
Is a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others.
Has deep expertise and working knowledge of statistics required for designing and evaluating statistical experiments
Is data-driven and passionate about solving problems through data & enable others using data in decision making
Is detail oriented and be able to work efficiently in a fast-paced team environment
Experience using generative AI tools to speed up analytical workflows (e.g., SQL generation, data summarisation, insight extraction, documentation).
Ability to evaluate when and how AI should be used responsibly, ensuring data quality, correctness, and compliance.
Preferred Skills:
Solid experience in designing, implementing, evaluating statistical experiments (working knowledge of quasi-experiments is a plus) to help guide product owners in evaluating the success of their products
Solid experience with common analytics and visualisation tool (Looker, Tableau, SQL, Python, and R) for ad hoc analysis to extract insights
Possess deep subject matter expertise in at least one key area e.g. Causal Inference, Design of Experiments, Econometrics
Expertise using Big Data ecosystem tools e.g. BigQuery, Hadoop, Pyspark, Sqoop, or MLlib
Comfortable with distilling complicated analyses into an accessible format for non-technical audiences (e.g. white papers, presentations, documents)
Strong communication skills (fluent spoken English, visual presentation skills, effective written communication skills)
Excellent interpersonal skills, ability to work in team and communicate with business people and other analysts
Significant demonstrated track record in analytics with thorough examples of experience
Commercial acumen to understand and define the business significance of various parcels of data and analysis
Must have demonstrated team working capability
Experience building small-scale AI-enabled analytics tools, automation scripts, or prototypes that improve productivity.
By proceeding with your application, you are adhering to our PDPA policies. In case you are interested to know more, read about our Candidates Personal Data Privacy Statement.
