Strategic Business Data Analytics Leader

VSP Vision Care; United States; Hybrid; USD 84,000 - 142,000; Full time

Job summary

VSP Vision Care is seeking a Principal Business Data Analyst to lead collaborations with business teams, define data needs, and apply advanced analytics to support monitoring and decision management. You will mentor others, develop models, and communicate findings through dashboards and visuals to help optimize business outcomes.

You will work with leaders to specify requirements, perform data exploration and forecasting, build dashboards, and collaborate with data science for machine learning

Qualifications

• Bachelor’s degree in statistics, analytics, mathematics, economics, computer science or related field; or equivalent experience.
• 6+ years of demonstrated data analytics experience including querying and analyzing operational and/or financial data, generating insights and communicating those effectively with colleagues and leaders.
• Experience leading analytics projects in domains such as Financial Management/Forecasting, Insurance/Healthcare, Supply Chain, Retail/eCommerce, Consumer Behavior or Marketing optimization.

Responsibilities

• Lead engagements with business leaders to clarify needs and define requirements for strategic data use.
• Mentor others to apply analytics techniques and generate insights.
• Develop forecasts, regression models, and what-if scenarios with leaders to support planning.
• Create dashboards and reports to monitor performance and enable data-driven decisions.
• Communicate insights effectively through visuals and presentations.

Skills

SQL

Data visualization

Statistical modeling

Python

R

Mentoring

Business analytics

Communication skills

Jupyter notebooks

What-if analysis

Education

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

Tools

PowerBI

Cognos Analytics

Tableau

SAS

Job description

VSP Vision Care is seeking a Principal Business Data Analyst to lead collaborations with business teams, define data needs, and apply advanced analytics to support monitoring and decision management. You will mentor others, develop models, and communicate findings through dashboards and visuals to help optimize business outcomes.

You will work with leaders to specify requirements, perform data exploration and forecasting, build dashboards, and collaborate with data science for machine learning