Explore large datasets, evaluate data quality, and model data
Apply statistical methods to understand consumer behavioral patterns relevant to product development and operational efficiency
Analyze problems to identify root causes
Work with Data Scientists and Data Engineers to build and implement analytical solutions
Collaborate on data-related projects
Visualize data and transform it into compelling stories
Derive actionable insights, provide decision support, and make recommendations based on data-driven insights
Advise business units and functional teams, such as product or commercial teams, on data-related questions

What you need to succeed in the role:

Consulting skills, with a particular ability to provide insights and recommendations
Exceptional analytical skills, with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Ability to identify issues, structure and conduct the necessary analysis, and draw well-informed conclusions
Experience in a programming language such as SQL, Python, or R
Ability to balance multiple priorities, be detail-oriented, work independently, and meet deadlines in a fast-paced environment
Excellent team player
Master’s/MBA degree in numerate subject (e.g., Data Science, Mathematics, Informatics, Economics, Natural Sciences, or Engineering)

Nice if you have:

At least 2 years of hands-on experience in data analysis roles within Data & Analytics solutions
Experience with cluster analysis and machine learning
Experience in the payments, risk, or factoring space
Familiarity with modern data stacks, preferably Databricks
Experience in quantitative research
Understanding of data extraction and manipulation
Ambition to develop as a professional in an entrepreneurial organization, with opportunities to work on your areas of interest