Senior Business Data Analyst

Overview 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. Responsibilities Engage with business leaders and staff to clarify needs and define business requirements for data analysis; where possible anticipate and propose opportunities for analysis and exploration in support of business optimization and decision-making. Analyze complex business problems and issues using operational and financial data from multiple sources to provide insight to decision-makers. Perform data exploration, analysis and statistical inference to identify and interpret trends and patterns in datasets, and detect influences, opportunities and risks. Develop forecasts, regression models, what‑if scenarios and recommendations in consultation with leaders to support strategic and tactical planning and operational decision‑making. Create dashboards, visualizations and reports to support business performance monitoring, automating where possible to enable stakeholders to be data‑driven. Create presentations that intuitively communicate insights for business leaders and colleagues in order to advance the collective intelligence of the organization. Work collaboratively with the enterprise analytics & information management team to articulate business needs for new or revised data models and views/access to the data. Contribute to data inventory and stewardship efforts, including metadata management, data profiling, data quality remediation and data cleansing. Maintain high standards and adhere to all enterprise policies and guidelines regarding data security and privacy, data management, data quality and governance; treat data as an enterprise asset that is to be protected and used strategically and appropriately. Qualifications 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, generating insights and communicating them 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 to join, filter, cleanse and aggregate data; understanding of how GUI‑driven applications apply SQL concepts to perform the same tasks. Experience creating effective data visualizations and 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. Compensation Salary ranges: $63,000.00 - $108,675.00. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job‑related factors permitted by law. As part of the compensation package, this role may include eligible bonuses and commissions. Equal Opportunity Employment VSP Vision is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, gender, race, color, religion, sex, national origin, disability or protected veteran status. We maintain a drug‑free workplace and perform pre‑employment substance abuse testing. Unincorporated LA County residents: Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, and any other similar laws. #J-18808-Ljbffr VSP Vision Care