Senior Data Analyst

Sr. Data Analyst - Enterprise Risk

Location: Richmond, Virginia, United States (On-site)

Industry: Financial Services

Work Setting: On-site

Are you passionate about transforming complex data into actionable insights, building scalable analytics solutions, and helping organizations make smarter, data-driven decisions?

We are seeking a Senior Data Analyst – Enterprise Risk to leverage data, analytics, and technology to drive business value through innovative data solutions, business intelligence, and data governance initiatives. This role will collaborate with cross-functional stakeholders to analyze complex datasets, develop reporting solutions, improve data quality, and deliver insights that support strategic decision-making across the enterprise.

Key Responsibilities

Innovation & Data Solutions

• Analyze large, complex, and diverse data sources to uncover trends, opportunities, and business insights.
• Develop scalable data solutions, tools, and self-service capabilities that empower data consumers.
• Explore and evaluate emerging technologies, analytics platforms, and methodologies to support evolving business needs.
• Improve data accessibility and usability through innovative reporting and analytical frameworks.
• Contribute to the design and implementation of data-driven solutions that enhance operational efficiency and business performance.

Business Intelligence & Analytics

• Partner with business stakeholders to understand requirements and translate them into reporting, dashboard, and analytics solutions.
• Design and develop meaningful metrics, KPIs, reports, and visualizations that support business objectives.
• Perform exploratory and advanced data analysis to identify patterns, trends, risks, and opportunities.
• Deliver actionable insights and recommendations to support strategic planning and decision-making.
• Present analytical findings clearly to both technical and non-technical audiences.

Data Management & Governance

• Promote best practices in data governance, metadata management, and data quality.
• Collaborate with technology and data teams to ensure secure and compliant access to data assets.
• Design, develop, and maintain monitoring processes that identify and resolve data quality issues.
• Support data lineage, business definitions, validation standards, and governance initiatives.
• Ensure accuracy, consistency, and integrity across reporting and analytical environments.

Required Qualifications

• Bachelor's degree in Statistics, Mathematics, Analytics, Computer Science, Economics, Engineering, or another quantitative discipline, or equivalent professional experience.
• 2+ years of experience in data analytics, business intelligence, or data management.
• Experience working with structured and unstructured data sources.
• Experience querying, analyzing, and managing data using modern analytics platforms and tools.
• At least one year of experience with scripting or programming languages used for data analysis.
• Experience utilizing business intelligence and data visualization platforms.

Preferred Qualifications

• Master's degree in a quantitative, analytical, or technical field.
• Experience using Python, R, SQL, Spark, or similar analytical technologies.
• Experience working within Agile, Lean, Six Sigma, or other process improvement methodologies.
• Exposure to cloud-based data platforms and services.
• Experience supporting data governance, data quality management, and reporting initiatives.
• Experience developing scalable analytical solutions in enterprise environments.