VSP Vision Care

Compensation

Full Description

Job Description: • 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. • 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: • 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: • Eligible bonuses and commissions