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VSP Global is comprised of five complementary businesses that combine high-quality eye care insurance, high-fashion eyewear, customized lenses, ophthalmic technology and retail solutions, with employees in over 23 countries. No matter the role, we're all focused on a singular mission: to help people see. Learn more by visiting https://vspglobal.com/cms/careers/
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.
Typically has the following skills or abilities:
Bachelor's degree in statistics, analytics, mathematics, economics, computer science or related functional area; or equivalent experience.
5+ 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.
Experience developing database solutions for large datasets using SQL Server, MS Access and/or other database tools with working knowledge of relational database systems.
Experience creating P&Ls and other financial reports with demonstrated understanding and interpretation of financial statements. Ability to develop a deep understanding of financial data, cost data, structure, dependencies, relationships and revenue/cost drivers.
Experience working with OLAP cubes.
Experience creating tables, loading data and writing queries in MS Access.
Experience with SAS Tools, SAS Data Integration Studio, or SAS Cost & Profitability Management.
Ability to present financial and technical information to business partners tailored to the audience (high level and/or detailed depending on the audience).
Ability to partner with business team members to ensure that the team has the tools and insights necessary to make informed decisions. Act as technical expert for the team and business partners.
Ability to translate business partner input into technical solutions.
Strong organization skills and attention to detail with an ability to analyze unknown data sources, transform the data to fit the target model, and implement data auditing practices. Agile with change in direction & priorities and comfortable with ambiguity.
Self-starter/Driver with ability to multi-task and work under strict deadlines. Able to work independently and with a team. Exhibits an accountable, positive and solutions-oriented attitude. Strong interpersonal and communication skills.
The working environment is generally favorable. Lighting and temperature are adequate, and there are no hazardous or unpleasant conditions caused by noise, dust etc.
The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.
VSP Global is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, gender, race, color, religion, sex, national origin, gender identity, sexual orientation, disability or protected veteran status. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
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