Senior Business Data Analyst

VSP Vision Care • Remote WA, WA

22h • $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 relevant, accurate insights through data exploration, modeling, analysis, and mining, and communicates findings through visualizations, dashboards, and presentations to optimize business decisions and outcomes.

The analyst works with business leaders and staff to clarify needs and define requirements, and where possible anticipates opportunities for further analysis. The position analyzes operational and financial data from multiple sources, identifies trends and patterns, develops forecasts and models, and recommends actions to support planning and operational decisions. It also creates performance-monitoring dashboards, reports, and presentations; collaborates with enterprise analytics and information management teams on data models and access; and contributes to data inventory, stewardship, metadata, quality, and cleansing efforts.

The position maintains high standards for data security, privacy, quality, management, and governance, treating data as an enterprise asset. It may support analytics delivery across marketing, digital experience, customer data, reporting, and business analysis. Candidates with experience combining business, marketing, digital, and data analytics are considered ideal; AI experience is desirable.

Requirements

• Bachelor’s degree in statistics, analytics, mathematics, economics, computer science, or a related functional area, or equivalent experience.
• At least 4 years of demonstrated data analytics experience, including querying and analyzing operational and/or financial data, generating insights, and communicating them effectively.
• Experience executing analytics projects in one or more of these domains or business 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 data visualizations and dashboards that highlight trends and patterns and monitor business 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 to change priorities and direction quickly and effectively.
• Excellent written and verbal communication, presentation, and analytical skills.
• Ability to stay current in the field, including learning new techniques, approaches, and software.
• Expert-level Excel skills.
• For remote or hybrid roles, ability to maintain engagement in virtual environments, including camera presence during meetings.

Nice To Haves

• Experience blending business analysis, marketing analytics, digital analytics, and data analytics.
• AI experience, described as desirable and an accelerator of strong analytical fundamentals.

Responsibilities

• Engage with business leaders and staff to clarify needs and define business requirements for data analysis, and propose analysis opportunities where possible.
• Analyze complex business problems using operational and financial data from multiple sources to provide decision-makers with insight.
• Explore and analyze data and perform statistical inference to identify trends and patterns and detect 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, management, quality, and governance.

What This Job Offers

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