Bachelor’s Degree in engineering, economics, physics, or a related quantitative discipline.
4+ years of data analytics experience, ideally within a financial services or business analytics context.
Advanced SQL proficiency, including expertise with window functions, common table expressions (CTEs), performance tuning, and query optimization for large data sets.
Proven experience working with cross-functional data in marketing, product, finance, or operations.
Experience with data visualization and dashboard creation using tools such as MicroStrategy, Tableau, Power BI, Looker, QuickSight, or Excel.
Familiarity with statistical methods and experience using R or Python for in-depth data analysis.
Proactive Mindset: A natural problem-solver who identifies and investigates data inconsistencies or patterns, uncovering insights that drive business impact.
Strong communication skills, with the ability to explain complex analyses to both technical and non-technical stakeholders.
Excellent organizational and problem-solving skills, capable of transitioning from detailed analysis to high-level strategic insights.
Ability to influence and drive alignment through constructive dialogue without formal authority.
Flexibility in prioritizing tasks, selecting appropriate tools, and managing multiple projects with competing priorities.
Strong relationship-building skills and a desire to collaborate in a high-energy, team-oriented environment.
Financial Transaction Data Analysis: Experience in analyzing and mining financial transaction data for insights, with an understanding of payment technologies, payment types, credit/debit card networks, and purchase authorization/settlement processes.
Data Science and Modeling: Experience in building and deploying predictive models (regression, classification, clustering, time series forecasting) using Python, R, or similar tools.
Machine Learning: Familiarity with machine learning algorithms and their application in deriving insights from large datasets.
Cross-Functional Analytics Expertise: Experience working on projects across multiple business areas such as marketing, product, finance, and operations translating data into actionable business insights.