Principal Data Analyst, Snowflake, Cloud
VSP Vision Care
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $84,000 - $141,750 per year
Job Level
Lead
Tech Stack
CloudSQL
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisdata qualitydata lineagedata modelingdata profilingdata cleansingSQLanalytics applicationsmetadata managementdata warehouse
Soft skills
communication skillscross-functional leadershipcollaborationrequirement gatheringstakeholder alignmentproblem-solvingrecommendation skillsadaptabilityorganizational skillsanalytical thinking
Certifications
Bachelor’s degree in EngineeringBachelor’s degree in Computer ScienceBachelor’s degree in StatisticsBachelor’s degree in Analytics