Senior Business Data Analyst

VSP Vision Care•Cynthian, OH

2d•Hybrid

About The Position

The Business Data Analyst 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. Mains 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 the field, including learning new techniques, approaches, and software available
Expert-level skills in Excel
For roles that are remote (i.e., Work From Home (WFM)) or hybrid (i.e., partial onsite at a VSP location and WFM), must demonstrate a high level of engagement in virtual environments, including maintaining camera presence during meetings to support effective communication and team alignment

Nice To Haves

The role is required to maintain analytics delivery capacity across marketing, digital experience, customer data, reporting, and business analysis
Ideal candidates blend business analysis, marketing analytics, digital analytics, and data analytics experience
AI experience is desirable as an accelerator of strong analytical fundamentals

Responsibilities

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