Senior Business Data Analyst

VSP Vision Care • Cynthian, OH

2d • $63,000 - $108,675

About The Position

The Business Data Analyst collaborates with business teams to identify needs and opportunities for using data to support business monitoring and decision-making. The role applies analytics and statistical techniques to generate accurate, relevant insights through data exploration, modeling, analysis, and mining. It communicates findings through visualizations, dashboards, reports, and presentations to help optimize business decisions and outcomes.

The analyst works with business leaders and staff to clarify needs and define analysis requirements, and may propose opportunities for further analysis. The role analyzes complex operational and financial data from multiple sources, identifies trends, patterns, influences, opportunities, and risks, and develops forecasts, regression models, what-if scenarios, and recommendations. It also collaborates with enterprise analytics and information management teams on data models and access, contributes to data inventory and stewardship, and follows enterprise requirements for data security, privacy, quality, management, and governance.

Requirements

• Bachelor’s degree in statistics, analytics, mathematics, economics, computer science, or a related functional area, or equivalent experience.
• 4+ years of demonstrated data analytics experience, including querying and analyzing operational and/or financial data and communicating insights to colleagues and leaders.
• Experience executing analytics projects in at least one of these domains or functions: financial management and forecasting, risk assessment, insurance utilization and pricing, supply chain optimization, retail management, eCommerce management, consumer behavior analysis, marketing optimization, or healthcare management.
• Experience building complex SQL queries to join, filter, cleanse, and aggregate data, and understanding how GUI-driven applications apply SQL concepts.
• Experience creating effective data visualizations and dashboards that highlight trends and patterns and monitor performance against KPIs.
• Experience using data exploration and analysis platforms such as Cognos Analytics, Tableau, SAS, or similar.
• Familiarity with data modeling concepts and relational database structures.
• Strategic skills, business acumen, and curiosity to support envisioning work, program planning, and strategic partnerships.
• Ability to analyze and document business requirements, including needs and expectations.
• Flexibility and ability to change priorities and direction quickly and effectively.
• Excellent written and verbal communication, presentation, and analytical skills.
• Ability to remain current in the field, including learning new techniques, approaches, and software.
• Expert-level Excel skills.
• For remote or hybrid roles, ability to demonstrate high engagement in virtual environments, including maintaining camera presence during meetings.

Responsibilities

• Engage with business leaders and staff to clarify needs and define data-analysis requirements, and propose analysis opportunities where possible.
• Analyze complex business problems using operational and financial data from multiple sources to provide insight to decision-makers.
• Explore and analyze data, perform statistical inference, and identify and interpret trends, patterns, influences, opportunities, and risks.
• Develop forecasts, regression models, what-if scenarios, and recommendations in consultation with leaders to support planning and operational decisions.
• Create dashboards, visualizations, and reports for business performance monitoring, automating them where possible.
• Create presentations that communicate insights to business leaders and colleagues.
• Collaborate with the enterprise analytics and information management team to articulate business needs for new or revised data models and data views or access.
• Contribute to data inventory and stewardship, including metadata management, data profiling, data quality remediation, and data cleansing.
• Follow enterprise policies and guidelines for data security and privacy, data management, data quality, and data governance; protect and use data appropriately.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior