Senior Business Data Analyst

VSP Vision; United States; Hybrid; USD 63,000 - 109,000; Full time

Benefits offered by this job

Bonuses

Job summary

VSP Vision is seeking a Business Data Analyst to collaborate with business teams to identify data opportunities and support decision management through analytics.

You will develop forecasts, build dashboards, and present insights to leaders, using SQL, Tableau, Cognos, SAS, and Excel, while ensuring data quality and governance. This role requires strong communication and 4+ years of experience.

Qualifications

• Bachelor’s degree in statistics, analytics, math, economics, CS, or related field.
• 4+ years of analytics experience with data and reporting.
• Experience in Financial/Operational domains and cross-functional projects.
• Experience building complex SQL queries to join/filter/aggregate data.
• Experience creating visualizations and dashboards to track KPIs.
• Familiarity with data modeling concepts and relational structures.
• Strategic business sense and curiosity for program planning and partnerships.
• Ability to document and analyze business requirements clearly.
• Flexible and able to change priorities quickly.
• Excellent written and verbal communication; strong analytical skills.
• Keeps current with new techniques and software; expert in Excel.

Responsibilities

• Engages with leaders to clarify needs and define data requirements.
• Analyzes complex problems using multiple data sources for insights.
• Performs data exploration and statistical inference to find trends.
• Develops forecasts and what-if scenarios for planning.
• Creates dashboards and reports to monitor performance and enable decisions.
• Presents insights to leaders to advance organizational intelligence.
• Collaborates with analytics teams to define data models and access.
• Contributes to data inventory, profiling, and data quality remediation.
• Ensures data governance and privacy compliance.

Skills

SQL querying

Data visualization

Forecasting & modeling

What-if analysis

Statistical analysis

Communication

Data wrangling

Excel

Dashboards

Education

Bachelor’s degree in statistics, analytics, mathematics, economics, computer science, or related field

Tools

SQL

Cognos Analytics

Tableau

SAS

Excel

Job description

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
• 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

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 (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

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

Preferred Skills

• 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

Compensation

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.

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

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.