Payments - Analytics & Reporting- Data Scientist Associate

Description
The JPMorgan Chase SMB Payments Analytics team is dedicated to cultivating a data-driven culture and empowering fact-based decision-making. Our Business Analytics division champions this mission by delivering data and fostering the integration of analytics insights. We are seeking a Data Associate to elevate our analytics capabilities.

Job Summary:
As a Data Associate within the Analytics Team, you will play a pivotal role in identifying key metrics and conducting comprehensive analyses to inform business strategies. You will work collaboratively with cross-functional teams, including Product, Sales, Marketing, Account Management, and Risk, to promote product upselling and cross-selling, enhancing both partner and merchant experiences. The ideal candidate will possess the ability to frame business challenges, design suitable analyses, and demonstrate fluency in SQL, Python, and other big data methodologies. You should excel at deriving insights and crafting narratives to support strategic initiatives.

Job Responsibilities:

• Partner with various departments to develop insights and analytic solutions tailored to client needs.
• Perform in-depth analyses and construct statistical models to uncover trends and key drivers influencing product, sales, risk, and operational decisions.
• Design and enhance data visualizations using existing tools or by developing new ones, while improving business dashboards.
• Implement processes and develop tools to enhance data access, extraction, and analysis efficiency.
• Cultivate and maintain relationships with internal teams to proactively identify and address business needs through analytics.

Required qualifications, capabilities and skills:

• 4+ years of experience in quantitative data analysis
• B.S. or M.S. in a quantitative discipline, such as Statistics, Applied Mathematics, Engineering, or Computer Science, from a prestigious institution.
• Proficiency in SQL and experience with statistical software or programming languages such as R or Python.
• Experience with data visualization and BI tools like Looker or Tableau.
• Exceptional attention to detail and organizational skills.
• Ability to tackle ambiguously defined problems, devise creative solutions, and meet tight deadlines.
• Excellent communication and presentation skills, with the ability to translate data into actionable insights.
• A collaborative team player who thrives in working with teams across the company to achieve shared objectives.

Preferred qualifications, capabilities and skills:

• Data analysis preferably within the online payments industry.