Data Scientist Associate

Join our team as a Data Analyst and unlock your potential to shape business strategies through data-driven insights. Be at the heart of enhancing partner and merchant experiences by collaborating with diverse teams to drive product upselling and cross-selling.

Job Summary: 

As a Data Analyst within the Analytics Team, you will play a pivotal role in identifying key metrics and conducting comprehensive analyses to inform business strategies. Collaborate with cross-functional teams, including Product, Sales, Marketing, Account Management, and Risk, to enhance both partner and merchant experiences. Your ability to frame business challenges, design suitable analyses, and demonstrate fluency in SQL, Python, and other big data methodologies will be crucial in 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/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.

Required Qualifications, Capabilities, and Skills:

• Minimum of 4  years of experience in quantitative data analysis, within the payments industry.
• B.S. or M.S. in a quantitative discipline, such as Statistics, Applied Mathematics, Engineering, or Computer Science.
• Proficient in SQL
• Excellent skills with Microsoft suite (Excel, PowerPoint, SharePoint).
• Experience with data visualization and BI tools like Looker or Tableau.
• 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, remain calm under pressure, and adapt to unexpected circumstances.
• Must be self-directed with the ability to multi-task and maintain strong attention to detail.
• Ability to manage complexity while fostering open communication.
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Preferred Qualifications, Capabilities, and Skills:

• Experience in the payments industry.
• Advanced proficiency in data visualization and BI tools.
•  Experience with statistical software or programming languages such as R or Python.

Internal Application Eligibility Requirements

TENURE: 

Must meet minimum employment tenure requirement. Specific roles require longer tenure in current position to be eligible to apply. Unless established for specific positions by the line of business, the standard tenure requirement is 12 months.

PERFORMANCE:

Meets satisfactory performance standards as defined by the firm

 By submitting an application and/or joining the interview, you affirm to meet the Internal Mobility Eligibility Requirements as stated in the Applying for Internal Positions Firmwide Standard. You are expected to provide true and accurate information to the Company during the recruitment and application process. Knowingly giving false or misleading information shall be subjected to the imposition of appropriate corrective action, following the firm's HR Policies and Guidelines.

Inform your manager once scheduled for an interview. Include in your discussion if you have questions about eligibility or Line of Business specific guidelines.

 Make sure your profile is updated in the new > Jobs.  Attaching your updated resume is encouraged. 

 In partnership, Hiring Managers and Recruiters will review applications to determine which candidates best meet the required skills and experience specified in the job description. While not every application will result in an interview, applications will be acknowledged.