Analyze data from various sources to identify trends, provide insights, and support decision-making.
Develop and track key metrics and KPIs to monitor business performance and contribute to a data-driven culture.
Create and implement data-driven strategies and operational processes to optimize business growth and efficiency.
Proactively identify and address business challenges using data analysis and strategic problem-solving.
Independently manage workload and pursue opportunities for improvement.
Qualifications
Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related quantitative field, or equivalent work experience.
6+ years of combined post-graduate academic and industry experience applying quantitative and scientific methods to solve real-world business problems.
Advanced experience in statistical analysis, test design, and experimentation.
Proven ability to analyze large, complex datasets.
Proficiency in SQL, data visualization tools (Qlik, Tableau, QuickSight), and scripting languages (Python, R).
Strong data storytelling skills, with the ability to construct impactful visualizations, communicate insights, and influence leadership.
A proactive and results-oriented individual who thrives in a fast-paced environment and is comfortable with ambiguity.