Principal Data Analyst

VSP Vision Care•Cynthian, OH

1d•$84,000 - $141,750•Hybrid

About The Position

The Principal Data Analyst collaborates with executive stakeholders, technical staff, analysts, and subject-matter experts in creating robust, high-trust, scalable Enterprise data analytics solutions for business insight. As a Technical Data Steward, this role contributes to ensuring the Global Data Warehouse is the trusted source of integrated Enterprise data. This position 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 Foster 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 Ensure technical metadata and business glossary meet data protection, data privacy and data quality standards Provide administrative and configuration support for the Enterprise information catalogue and business glossary, and the Enterprise Performance Management application Collaborate within an agile, multi-disciplinary team of data architects, data analysts, data engineers, BI developers and scrum master to deliver analytics solutions Adapt standard or develop new business rules for classification, forecasting, simulation, optimization, and summarization necessary to support analytic needs Assess the accuracy of data sources and define and document cleansing strategies to meet data quality requirements; provide recommendations to define data quality standards

Requirements

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.
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.

Responsibilities

Collaborates with executive stakeholders, technical staff, analysts, and subject-matter experts in creating robust, high-trust, scalable Enterprise data analytics solutions for business insight.
Contributes to ensuring the Global Data Warehouse is the trusted source of integrated Enterprise data.
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.