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

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

Preferred Skills

Experience with cloud data platforms (snowflake, Data Stage, DB2, SQL,
Knowledge of BI tools such as Power BI, Tableau

Experience working on Enterprise Data Warehouse projects

Experience with Agile or Scrum methodologies

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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.

Salary Ranges: $84,000.00 - $141,750.00

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, disability or protected veteran status. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

Unincorporated LA County Residents: Qualified Applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, and any other similar laws.

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