Data Scientist Senior Associate - Payments

JPMorgan Chase & Co.•Plano, TX

13h

About The Position

As a Data Scientist Senior Associate in Small Business Payments, 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 drive product upselling and cross-selling, enhancing both partner and merchant experiences. You 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.

Requirements

3 + years of experience in quantitative data analysis
Proficiency in SQL
Excellent skills with Microsoft suite (Excel, PowerPoint, SharePoint)
Experience with data visualization and BI tools like ThoughtSpot or Tableau or other visualization tool.
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.
Demonstrated ability to manage tight delivery timelines, calmness under pressure and adapt to unexpected circumstances - capable of navigating in dynamic and complex environments
Must be self-directed with the ability to multi-task and keep a strong attention to detail

Nice To Haves

Payments industry experience
Experience with statistical software or programming languages such as R or Python.
B.S. or M.S. in a quantitative discipline, such as Data Science, Statistics, Applied Mathematics, Engineering, or Computer Science

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/automate data access, extraction, and analysis efficiency.
Cultivate and maintain relationships with internal teams to proactively identify and address business needs through analytics.
Work with leaders to develop and maintain executive reporting that will measure operational performance for BAU processes and strategic initiatives.