Data Analyst (Payments)

Join our Payments team as a Data Analyst, where you'll analyze large datasets to uncover trends and improvement opportunities in banking products and services. You'll build and maintain dashboards, conduct deep-dive analyses, and partner with product managers and engineers to define and measure the success of features and initiatives. Your work will directly impact key decisions related to our banking products, features, and overall strategy.

• Analyser de grandes ensembles de données pour découvrir des tendances, des modèles et des opportunités d'amélioration dans les produits et services bancaires.
• Construire et maintenir des tableaux de bord et des rapports pour suivre les indicateurs clés de performance (KPI) et fournir des informations claires aux parties prenantes.
• Collaborer avec les chefs de produit et les ingénieurs pour définir et mesurer le succès des fonctionnalités et des initiatives.

• Strong proficiency in SQL and experience working with relational databases (e.g., Bigquery, Snowflake, Redshift, etc)
• Experience as a data analyst for 3+ years, ideally in B2C, financial services, or technology
• Experience with A/B testing and experimental design
• Proficient in utilizing data visualization tools like Tableau, Looker, or other similar platforms
• Working experience with Python for data analysis
• Ability to communicate complex data insights clearly and effectively to both technical and non-technical audiences
• Excellent analytical and problem-solving skills with a strong attention to detail
• Strong business acumen and the ability to translate business questions into data analysis plans
• Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a related field
• Experience modeling data using dbt
• Familiarity with the fintech industry and banking products is a plus
• Familiarity with machine learning techniques and predictive analytics is a plus
• Experience building data pipelines in dbt
• Ability to thrive in a fast-paced, collaborative environment
• Exposure to dimensional modeling concepts to power meaningful analytics