Senior Business Data Analyst

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.

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/tactical planning and operational decision-making

Create dashboards, visualizations, and reports to support business performance monitoring, automating where possible, to support stakeholders’ ability 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/revised data models and views/access to the data

Contribute to data inventory and stewardship efforts, including contributions to 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 data governance; regard data as an enterprise asset that is to be protected and used both strategically and appropriately

Job Specifications

Typically has the following skills or abilities:

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 (WFH)) or hybrid (i.e., partial onsite at a VSP location and WFH), must demonstrate a high level of engagement in virtual environments, including maintaining camera presence during meetings to support effective communication and team alignment

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Compensation range for the role is listed below. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. As a part of the compensation package, this role may include eligible bonuses and commissions. For more information regarding VSP Vision benefits, please click here. 

Salary Ranges: $63,000.00 - $108,675.00

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.

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