Principal Data Analyst - Geospatial Intelligence

VSP Vision Care • Cynthian, OH

1d

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 meets 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

Nice To Haves

• Proficiency with modern BI and GIS tools (e.g., Power BI, Tableau, ArcGIS, or comparable).
• Extensive experience working with SQL and familiarity with GIS (ArcGIS) mapping technologies - Geospatial
• Experience working in Snowflake or equivalent cloud warehouse environment
• Experience administering Power BI Tenant/Fabric environments – best practices
• Adept at creating intuitive – user friendly interfaces, including use of interactive agents
• Knowledge of modeling concepts: Relational, Dimensional
• Experience integrating AI/ML techniques into analytics workflows or visualization platforms.

Responsibilities

• Creating robust, high-trust, scalable Enterprise data analytics solutions for business insight
• Ensuring the Global Data Warehouse is the trusted source of integrated Enterprise data
• Advising business and technical leadership, and Product Owners in defining and scoping strategic Enterprise, Pillar, and Line of Business analytics product backlogs and performance metrics
• Performing advanced data analysis including sampling, modeling, profiling, and evaluation of statistical metrics
• Researching and assessing data quality, data lineage and business use of data sources for critical Enterprise/Master data
• Providing 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
• Fostering 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
• Ensuring technical metadata and business glossary meets data protection, data privacy and data quality standards
• Providing administrative and configuration support for the Enterprise information catalogue and business glossary, and the Enterprise Performance Management application
• Collaborating within an agile, multi-disciplinary team of data architects, data analysts, data engineers, BI developers and scrum master to deliver analytics solutions
• Adapting standard or develop new business rules for classification, forecasting, simulation, optimization, and summarization necessary to support analytic needs
• Assessing the accuracy of data sources and define and document cleansing strategies to meet data quality requirements; provide recommendations to define data quality standards

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level