Business Intelligence Lead
Kuala Lumpur, Malaysia
Applications have closed
Carousell Group
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, 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).
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 HEART, which is an acronym for Humility, Empathy, Accountability, Relentlessly resourceful and Teamwork. Together as an organisation, we make magic happen.
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
- Manage a team of high-performing individuals by providing mentorship, guidance, and professional development opportunities and ensure continuous up-skilling and knowledge sharing across the teams.
- Act as an analytical and reporting partner to various business units (Commercial, Marketing, Product, Operations), enabling data-driven decision-making and strategic planning.
- Lead cross-functional teams in data analytics projects, developing reports and dashboards for weekly and monthly business performance review.
- Build robust tools for monitoring KPIs and enabling decision-making at the company and operations level.
- Invest in improving the data capabilities of the organization through the implementation of new tools and adhering to best practices.
- Design, create, and maintain reporting and analytical capabilities aligned with business requirements and promote adoption of data self-service within the organization.
- Integrate analytics, experimentation, and data engineering into standard operating practices of business, marketing, product, and engineering teams.
- Identify opportunities, develop, and execute a comprehensive AI/ML strategy aligned with overall business goals and overseeing end-to-end execution of the projects.
Qualifications
- Bachelor’s degree in a related field such as Statistics, Math, Physics, Engineering, Finance, Economics, or Business Administration.
- An overall of 8 to 10 years' experience working in Business Intelligence with at least 3+ years managing a team of functional experts in delivering data-driven projects in driving business performance.
- Technical proficiency with SQL, Python, Data Processing, and Data Visualization tools.
- Communicate effectively with business and technical teams and have a strong ability to present to the senior stakeholders in a clear and concise manner.
- Focus on impact and results. Driven, resourcefulness, and ability to persevere and overcome obstacles in achieving challenging goals.
- Innovative and strategic thinker, and with a track record of successfully solving complex and ambiguous problems.
Additional Information
As the Business Intelligence Lead you will play a pivotal role in driving data-driven decision-making and influencing our product and business strategy through insightful analysis. You will lead a team of high-performing individuals, establish a "Data Centre of Excellence" team and champion a culture of data-informed decision-making across the organisation.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Data Analytics Data visualization Economics Engineering Finance KPIs Machine Learning Mathematics Physics Privacy Python SQL Statistics
Perks/benefits: Career development
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