About You
CARSOME is searching for a Lead Decision Analyst who thrives on unraveling complex business challenges through data analysis. You'll be an innately curious and highly analytical individual, adept at translating business problems into technical requirements and extracting meaningful insights from data. If you possess these qualities and are excited about using your data expertise to solve real-world challenges, consider applying!
Your Day-to-Day
- Initiate and lead cross-functional projects, with the goals of optimising customer conversion funnel, enhancing M&A ecosystem synergy and competitor benchmarking
- Proactively identify business opportunities and actionable insights, via exploratory analysis and effective visualisations. Provide recommendations and engage with stakeholders across Commercial, Marketing, Operations and Tech to achieve strategic business objectives
- Understand business processes and pain points deeply, identify viable data driven solutions, leveraging on advanced analytics techniques where applicable, including machine learning and statistical methods
- Propose the methodology and drive business analysis to validate hypothesis and support decision making, ensuring confidence via statistical significance from proper A/B test setups whenever feasible
- Actively evaluate existing processes and explore new tools for improvement, standardisation and best practices to promote data democratisation and efficiency
- Develop project plans as well as roadmap for the domain of ownership
- Oversee junior members to ensure project delivery quality and guide their development into solid independent contributors
Your Know How
- Innately curious, highly analytical and enjoy distilling complex business questions into technical requirements and find answers in the data
- At least 4 years of experience in one or multiple of the following areas: business insights, data visualisation, predictive modelling, business intelligence
- Degree from top university in a relevant quantitative discipline, such as applied statistics, computer science, mathematics, data science or analytics, operations research
- Comfortable using SQL/ Google BigQuery for data munging, exploration, and analysis
- Excellent communication and data storytelling skills to effectively present findings to senior management using data visualisation tools like Tableau or Power BI
- Hands-on exposure to product analytics platforms, such as Amplitude or Mixpanel
- Self-starter with a track record of initiating projects and driving them to completion
- Experience in leading cross-functional projects or coaching small teams
- Experience in the automotive or e-commerce industry
- Experience working at a tech startup or fast-growing organisation
- Experience using R or Python for data analysis and modelling
- Deep understanding of machine learning and statistical methods, and how to apply them
- Familiarity with principles of business intelligence and data engineering infrastructure