Product Data Analyst

Our client helps their customers solve problems surrounding identity verification, authentication, accounts receivable, credit risk, and fraud prevention. They assist consumers with understanding and managing their credit report.

You will be part of a knowledgeable, tight-knit team that emphasizes understanding our customers and consumers challenges and providing the right solutions to solve them. They value team collaboration and open communication, and are there to support and challenge one another.

If you are looking to join an organization where your voice will be heard and your work will have a positive impact, then this may be the right fit for you.

JOB SUMMARY: The Product Data Analyst transforms data and insights into strategic business opportunities driving process optimization and revenue growth. This role evaluates operational and financial data, customer requirements, and market trends to develop enhanced business strategies while collaborating across multiple business units on diverse projects.

JOB RESPONSIBILITIES:

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily, with or without reasonable accommodation:

• Data Analysis & Insights: Understand data sources, structures, and definitions across database tables. Analyze and monitor the impact of product/service offerings using statistical methods in Excel, Python, or R. Work with customers and potential clients to evaluate data sets against existing products. Research organizations and individuals to identify new business opportunities and investigate client-reported issues
• Technical Development: Write programs using SQL and Python for data extraction, cleansing, and analysis. Design and implement enhancements to existing services based on product line understanding. Partner with business units to assess the impact of potential changes and develop new products, enhancements, and reporting solutions
• Reporting & Documentation: Recommend and design ongoing reporting solutions. Create and maintain technical documentation following model risk management procedures. Develop research plans and project implementation strategies following model risk management procedures and requirements.
• Cross-Functional Collaboration: Work closely with technical and non-technical teams to design and deliver strategic analysis. Partner with customers to understand technical needs and create custom services.
• Continuing Education: Attend conferences, meetings, and industry events to stay current with market trends and networking opportunities

QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Statistics, Data Science, or related field required
• Experience in sales, analytics or related field.

• Proficiency in SQL, Python, Tableau, JSON, Atlassian, and Microsoft Office Suite,

• Strong analytical and problem-solving abilities with passion for complex data analysis with minimal guidance.

• Excellent communication skills to effectively present technical findings to business stakeholders
• Self-motivated with high energy and strong work ethic
• Experience with or willingness to learn AI tools and emerging technologies