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

Job Specifications

Typically has the following skills or abilities:

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

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Compensation range for the role is listed below. Applicable salary ranges may differ across markets.Actual pay will be determined based on experience and other job-related factors permitted by law. As a part of the compensation package, this role may include eligible bonuses and commissions. For more information regarding VSP Vision benefits, please click here.