Principal Data Analyst

Posted Yesterday
Hiring Remotely in US
Remote
84K-142K Annually
Senior level
Healthtech • Insurance • Retail • Social Impact
The Role
Lead development of scalable enterprise analytics and data stewardship. Perform advanced data analysis, assess data quality and lineage, define cleansing strategies, manage metadata and business glossary, support enterprise data warehouse and analytic product backlogs, and collaborate with cross-functional teams to enable self-service and advanced analytics.
Summary Generated by Built In
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

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

#LI-VISIONCARE

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 statusWe 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.

Notice to Candidates: Fraud Alert - Fake Job Opportunity Solicitations Used to Collect Fees/Personal Information. 


We have been made aware that fake job opportunities are being offered by individuals posing as VSP Vision and affiliate recruiters. Click here to learn about our application process and what to watch for regarding false job opportunities. 

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. 

Skills Required

  • Bachelor's degree in Engineering, Computer Science, Statistics, Analytics, or equivalent work experience
  • 6 years performing data analysis across legacy, cloud and package applications using data analysis toolsets
  • 6 years experience with analytical capabilities, architectures, 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
  • Experience working with granular raw data from operational systems
  • Excellent written and verbal communication skills; ability to gather requirements and communicate technical concepts
  • Proven cross-functional leadership in a large matrixed organization, aligning stakeholders and launching product features
  • For remote or hybrid roles, demonstrated high engagement in virtual environments, including maintaining camera presence
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The Company
13,052 Employees
Year Founded: 1955

What We Do

VSP Vision Care is a not-for-profit organization founded in 1955, providing vision benefits, eye care insurance, eyewear, and lenses, and reinvesting in communities.

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