Senior Business Data Analyst

VSP Vision is a company focused on leveraging data to enhance business decision-making. The Business Data Analyst collaborates with business teams to analyze complex data, create visualizations, and communicate insights to support strategic planning and operational decisions.

Responsibilities:

• Collaborates with business teams to determine needs and opportunities for leveraging data in support of business monitoring and decision management
• Applies a range of analytics and statistical techniques to generate relevant and accurate insights through data exploration, modeling, analysis and mining
• Communicates findings effectively using visualizations, dashboards and presentations with the goal of optimizing business decisions and outcomes
• Engages with business leaders and staff to clarify needs and define business requirements for data analysis; where possible anticipates and proposes opportunities for analysis and exploration in support of business optimization and decision-making
• Analyzes complex business problems and issues using operational and financial data from multiple sources to provide insight to decision-makers
• Performs data exploration, analysis and statistical inference to identify and interpret trends and patterns in datasets and detect influences, opportunities and risks
• Develops forecasts, regression models, what-if scenarios and recommendations in consultation with leaders to support strategic/tactical planning and operational decision-making
• Creates dashboards, visualizations and reports to support business performance monitoring, automating where possible, to support stakeholders’ ability to be data driven
• Creates presentations that intuitively communicate insights for business leaders and colleagues in order to advance the collective intelligence of the organization
• Works collaboratively with the enterprise analytics & information management team to articulate business needs for new/revised data models and views/access to the data
• Contributes to data inventory and stewardship efforts, including contributions to metadata management, data profiling, data quality remediation and data cleansing
• Maintains high standards and adheres to all enterprise policies and guidelines regarding data security and privacy, data management, data quality and data governance; regards data as an enterprise asset that is to be protected and used both strategically and appropriately

Requirements:

• Bachelor's degree in statistics, analytics, mathematics, economics, computer science or related functional area; or equivalent experience
• 4+ years of demonstrated data analytics experience including experience querying and analyzing operational and/or financial data, generating insights and communicating those effectively with colleagues and leaders
• Prior experience in successfully executing analytics projects in one or more of the following domains/business functions: Financial Management and Forecasting, Risk Assessment, Insurance Utilization & Pricing, Supply Chain Optimization, Retail Management, eCommerce Management, Consumer Behavior Analysis, Marketing Optimization or Healthcare Management
• Experience building complex data queries using SQL in order to join, filter, cleanse and aggregate data; understanding of how GUI-driven applications apply SQL concepts to do the same
• Experience creating effective data visualizations/dashboards that intuitively highlight trends and patterns with the ability to 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, inclusive of needs and expectations
• Flexible and able to quickly and effectively change priorities and direction
• Excellent written and verbal communication, presentation and analytical skills
• Remains current in field, including learning new techniques, approaches and software available
• Expert level skills in Excel