Product Data Analyst

1 day ago

Virginia Beach, United States RIT Solutions, Inc. Full time

Job Description:
This Product Analyst will be responsible for synthesizing requirements from the stakeholder into prioritized user stories, approving features that are in alignment with agreed upon acceptance criteria, and providing feedback to the team with a strong decision-making mindset. You will drive product delivery from inception until the solution enters production while also participating in standard Scrum activities including daily stand-ups, sprint planning, backlog refinement, sprint reviews, and sprint retrospectives.
Agile experience is mandatory

Primary responsibilities include:
• Demonstrate prior experience in developing credit data mart and the technology infrastructure related for reporting & analytics.
• Partner with Credit Internal analytics to help build next gen reporting infrastructure that would advance self-service analytics capabilities
• Demonstrate an ability to collaborate with developers and data engineers to define the technology infrastructure and data architecture.
• Possess a product background and agile delivery methodologies, and have a data-driven approach to decision making.
• Understand user needs, identify the problem, ideate solutions, prototype
• Partner with Credit Internal analytics to help build next gen reporting infrastructure that would advance self-service analytics capabilities
• Demonstrate an ability to collaborate with developers and data engineers to define the technology infrastructure and data architecture.
• Possess a product background and agile delivery methodologies, and have a data-driven approach to decision making.
• Understand user needs, identify the problem, ideate solutions, prototype

Qualifications:
5+ years of Product Analyst experience in managing cross-functional business systems initiatives/projects with a broad knowledge of the financial services systems
• Broad experience desired, in multiple domain areas, such as data warehousing, business intelligence (Bl), data architecture, data integration.
• Familiarity with databases, SQL querying is mandatory
• Familiarity with programming languages such as Python and visualization tools such as Tableau is pref erred
• Bachelor's degree in computer science, information systems or quantitative discipline, such as economics, finance, mathematics, or statistics

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