Jobs via Dice ยท 4 hours ago
Data Product Analyst
U.S. Bank is on a journey to help customers and businesses make better financial decisions. The Data Product Analyst plays a critical role in delivering data products that enable business insights and operational efficiency, acting as a liaison between business stakeholders and technical teams.
Computer Software
Responsibilities
Collaborate with product managers and engineering teams to define and prioritize data product features and enhancements
Translate business needs into clear, actionable data requirements and specifications that align with platform capabilities for seamless implementation
Support the design and development of data models, pipelines, and APIs for data products
Perform exploratory data analysis to identify trends, patterns, and anomalies
Develop dashboards, reports, and visualizations to communicate insights effectively
Partner with business teams to define KPIs and success metrics for data products
Act as a liaison between technical and non-technical teams to ensure alignment on data strategy
Gather feedback from stakeholders to continuously improve data products and services
Ensure data integrity, accuracy, and compliance with governance standards
Monitor data pipelines and troubleshoot issues to maintain reliability
Perform data profiling analysis by working with System of Record (SOR) owners to: Capture data classification and sensitivity levels
Define and document data quality rules
Assess data availability and refresh schedules
Maintain and update the data catalog
Support the development of a sustainable data operating model
Help identify access management processes for data products
Design and document access management rules based on existing patterns and governance standards
Collaborate with security and compliance teams to ensure proper role-based access controls are implemented
Manage ongoing access management triage and approvals for data products, ensuring timely and compliant access provisioning
Qualification
Required
Bachelor's degree in a related field, or equivalent work experience
Five to seven years of statistical and/or data analytics experience
Preferred
Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS, Geo-spatial tools and others to perform analysis and interpret data
Experience in analytics, advanced analytics/statistics, predictive modeling
Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
Demonstrated project management skills
Effective interpersonal, verbal and written communication skills
Benefits
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Company
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Funding
Current Stage
Early StageCompany data provided by crunchbase