The Senior Technical Data Analyst collaborates with technical staff, business data analysts, and subject-matter experts to evaluate, assess, and catalog data to be used in support of high-trust, scalable Enterprise data analytics solutions. This role contributes to ensuring the Global Data Warehouse is the trusted source of integrated Enterprise data by ensuring data assets are of high integrity and quality, and are well-defined.
Examine various source systems to evaluate data assets, assess their strategic value and determine their integrity
Perform data analysis including sampling, modeling, profiling, and evaluation of statistical metrics to develop an understanding of data attributes and subject areas
Collaborate with Business and Technical Data Stewards and Owners to understand relevant processes to generate metadata
Research and assess data quality, data lineage, and data completeness for critical Enterprise/Master data. Document opportunities and risks and collaborate to determine recommendations to address issues
Create and maintain the business glossary for specific subject areas, and teach others how to leverage the glossary to enable self-service data discovery
Recommend appropriate data sources for specific use cases and consults with architects and engineers to develop solutions that ensure the re-usability of business logic and data streams
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
Collaborate within an agile, multi-disciplinary team of data architects, data analysts, data engineers, BI developers, and scrum masters to enable access to data supporting various analytics solutions
Job Specifications
Typically has the following skills or abilities:
Bachelor’s degree in Engineering, Computer Science, Statistics, Analytics, etc., or equivalent experience
4+ years performing data analysis across legacy, cloud, and package applications using data analysis toolsets
4+ years’ experience working with analytical capabilities including knowledge about various analytical architectures, patterns and methods, analytics applications (Cognos, Power BI, Tableau), and Data warehouse platforms (Netezza, Teradata, Redshift, Snowflake, etc.)
4+ years’ experience creating detailed technical specifications, metadata, and release documentation
Experience using SQL to perform data 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
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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, equity and commissions. For more information regarding VSP Vision benefits, please
click here
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Salary Range:
69000
119500
VSP Vision is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, gender, race, color, religion, sex, national origin, gender identity, sexual orientation, disability or protected veteran status. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
As a regular part of doing business, VSP Vision (“VSP”) collects many different types of personal information, including protected health information, about our audiences, including members, doctors, clients, brokers, business partners, and employees. VSP Vision employees will have access to this sensitive personal information and are subject to follow Information Security and Privacy Policies.