Senior Product Analyst

Company Description

About Carousell Group 

Carousell Group is the leading multi-category platform for secondhand in Greater Southeast Asia on a mission to make secondhand the first choice. Founded in August 2012 in Singapore, the Group has a leading presence in seven markets under the brands Carousell, Carousell Media Group, Cho Tot, Laku6, LuxLexicon, Mudah.my, OneShift, REFASH and Revo Financial, serving tens of millions of monthly active users. Carousell is backed by leading investors including Telenor Group, Rakuten Ventures, Naver, STIC Investments, 500 Global and Peak XV Partners (formerly known as Sequoia Capital India).

We are a diverse team across Southeast Asia, India, Taiwan, and Hong Kong, united by our goal to create a sustainable and circular future. Through tech-driven platforms and innovation, we empower users to buy and sell pre-loved items with confidence. We leverage cutting-edge technology, including advancements in AI to enhance user experience, safety, and convenience both online and offline. Join us in shaping the future of recommerce, where sustainability and technology come together to create real-world impact.

About Mudah.my

Mudah.my Sdn. Bhd is Malaysia’s largest digital platform for selling and finding almost anything - from Cars to Cameras, Properties to Pets, Mobile phones to Motorcycles, Treadmills to Textbooks, Bicycles to Beds, Guitars to Golf sets, Plants to Printers, Watches to Washing machines, Tyres to Tablets, Dresses to Drums, Shoes to Shops, Collectibles to Computers, Jobs and more – Semua Pun Mudah! Mudah.my’s mission is to democratise commerce by empowering everyone, especially individuals and budding entrepreneurs, with a platform of equal opportunity.

Job Description

What You'll Do:

• Own funnels and success metrics: Own measurement for key journeys end-to-end, with metrics tied to business outcomes (e.g., leads, conversion, retention, seller activation). Define leading indicators and guardrails so teams know what to optimize and what to protect.

• Lead experimentation and causal evaluation: Design and evaluate experiments (A/B tests, holdouts, quasi-experiments when needed). Get sizing right, interpret results responsibly, and convert findings into rollout decisions and clear next steps.  

• Run deep dives that drive action: Use segmentation, cohorts, and journey analysis to pinpoint drop-offs and behaviors. Quantify root causes, size the opportunity, and recommend the highest-leverage product moves.  

• Build dashboards stakeholders trust: Create durable dashboards and recurring readouts that make product health and key drivers easy to understand, surface anomalies early, and support faster decisions across Product and Business.  

• Raise tracking and data quality: Identify tracking gaps early, define event requirements with engineers, validate implementations, and keep metric definitions consistent so teams can rely on the numbers.  

• Influence through clarity: Partner with PMs and Designers to sharpen problem statements, success criteria, and scope. Align success metrics and tracking early (before build starts), not after launch. Push for the smallest change that proves impact, then iterate.

Qualifications

What We're Looking For:

• Product analytics experience: 4-6+ years in Product Analytics, owning funnels, metric frameworks, and decision support for consumer products or marketplaces.

• Strong SQL and analytical depth: Expert in SQL and comfortable working with large, messy datasets. Produces accurate, decision-grade analysis under ambiguity.

• Experimentation and causal thinking: Hands-on designing and evaluating experiments, including sizing, guardrails, and interpreting results responsibly beyond statistical significance alone.

• Measurement and instrumentation mindset: Comfortable with event-based tracking, defining requirements with engineers, validating implementations, and keeping metric definitions consistent.

• Dashboarding and data storytelling: Builds dashboards and recurring readouts that stakeholders trust, with clear metric definitions, drivers, and decision-oriented narratives (Looker/Tableau/Data Studio or similar).

• Product sense and stakeholder influence: Connects user behavior to product and business outcomes, communicates crisply, handles pushback, and drives alignment across Product, Design, Engineering, and Business partners.

Additional Information

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