Senior Data Associate – Risk Systems

• Collect, analyze, and synthesize data to identify trends, exceptions, and insights that support business needs
• Design, build, and maintain reports, dashboards, and analytical tools, including Power BI solutions, that help stakeholders monitor performance and make informed decisions
• Work with business, analytics, reporting, and technology partners to clarify requirements, align priorities, and deliver practical analytics and automation solutions
• Translate business needs into actionable deliverables, track progress, support timely execution, and help ensure quality outcomes
• Engage business partners to implement standardized reporting and analytics, including centrally developed solutions and end-user self-service enablement
• Validate, reconcile, and monitor data to support reliable reporting and analysis
• Present findings, limitations, risks, and business impacts clearly to technical and non-technical stakeholders
• Improve reporting processes, automate repeatable work, enhance dashboards, and strengthen analytic usability and reliability

• Bachelor’s degree in Computer Science, Management Information Systems, Business Analytics, or a related field
• 5-7 years of practical experience performing analytics with tools
• Practical experience with Power BI, data analytics, reporting, and business/technology delivery
• Ability to analyze structured and unstructured data, identify trends or exceptions, and translate findings into meaningful business insights
• Practical experience performing analytics with tools such as Power BI, Python, Tableau, Business Objects, SQL, Cognos, or similar reporting, visualization, database, or business intelligence tools
• Ability to develop accurate, user-friendly, timely reports, dashboards, and data tools aligned to stakeholder needs
• Ability to gather requirements, translate business needs into deliverables, coordinate across Business and Technology, and support quality, timeliness, and value realization
• Ability to validate data, monitor quality, reconcile discrepancies, and support confidence in reporting outputs
• Ability to communicate technical results, data limitations, priorities, and business impact clearly and professionally
• Ability to investigate issues, evaluate options, and apply business knowledge to analytics, reporting, self-service solutions, and automation

Demonstrates expertise in data analytics, reporting, and business intelligence, with a strong focus on Power BI, SQL, and Python. Capable of translating complex business needs into actionable insights and delivering high-quality, user-friendly reports and dashboards.

• Power BI
• Data Analytics
• SQL
• Python
• Business Intelligence

• Data Analysis
• Reporting
• Dashboard Development
• Data Validation
• Trend Identification
• Automation Solutions
• User-Friendly Reporting
• Requirements Gathering
• Quality Monitoring
• Data Reconciliation

• Clear Communication
• Stakeholder Engagement
• Problem Solving
• Collaboration
• Timeliness

• Business Analytics
• Management Information Systems
• Computer Science
• Data Insights
• Performance Monitoring

• Tableau
• Business Objects
• Cognos
• Analytical Tools
• Visualization Tools