About YouCARSOME 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-DayInitiate 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 contributorsYour Know HowInnately 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#J-18808-Ljbffr