About the role
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