Principal Data Analyst

VSP Vision Care

Principal Data Analyst creating robust data analytics solutions for VSP Vision. Collaborating with stakeholders to ensure data quality and effective analysis in an agile environment.

Posted 7/2/2026full-timeRemote • 🇺🇸 United StatesLead💰 $84,000 - $141,750 per yearWebsite

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Collaborates with executive stakeholders, technical staff, analysts, and subject-matter experts in creating robust, high-trust, scalable Enterprise data analytics solutions for business insight
Advises business and technical leadership, and Product Owners in defining and scoping strategic Enterprise, Pillar, and Line of Business analytics product backlogs and performance metrics
Performs advanced data analysis including sampling, modeling, profiling, and evaluation of statistical metrics
Researches and assesses data quality, data lineage and business use of data sources for critical Enterprise/Master data
Provides leadership, Business Analysts and other Data Analysts with recommendations to address data quality issues and recommends the best data sources to enable effective analysis of critical master data
Fosters the cross-functional collaboration required to leverage data as a strategic asset to enable self-service analytics (i.e. insight generation, dashboards), advanced analytics (i.e. predictive and prescriptive modeling), corporate performance management, and digital transformation
Ensures technical metadata and business glossary meet data protection, data privacy and data quality standards
Provides administrative and configuration support for the Enterprise information catalogue and business glossary, and the Enterprise Performance Management application
Collaborates within an agile, multi-disciplinary team of data architects, data analysts, data engineers, BI developers and scrum master to deliver analytics solutions
Adapts standard or develops new business rules for classification, forecasting, simulation, optimization, and summarization necessary to support analytic needs
Assesses the accuracy of data sources and defines and documents cleansing strategies to meet data quality requirements; provides recommendations to define data quality standards

Requirements

What you’ll need

Bachelor’s degree in Engineering, Computer Science, Statistics, Analytics, etc. or equivalent work experience
6 years performing data analysis across legacy, cloud and package applications using data analysis toolsets
6 years’ experience working with analytical capabilities including knowledge about various analytical architectures, patterns and methods, analytics applications and Data warehouse platforms
6 years’ experience creating detailed technical specifications, metadata and release documentation
Experience using SQL to perform data segmentation and analysis. Must have experience working with granular raw data from operational systems
Excellent written and verbal communication skills with the ability to gather requirements and effectively communicate technical concepts and ideas
Demonstrates highly effective cross-functional leadership and experience working in a large matrixed organization, aligning cross-functional stakeholders, gathering business requirements, and launching product features

Benefits

Comp & perks

eligible bonuses and commissions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data AnalysisData Quality StandardsTechnical SpecificationsMetadata DocumentationPredictive ModelingPrescriptive ModelingData Warehouse PlatformsData LineageSampling TechniquesStatistical Metrics

Soft Skills

Excellent CommunicationCross-Functional CollaborationStakeholder AlignmentRequirements GatheringLeadership