Collaborates with technical staff, business data analysts and subject-matter experts to evaluate, assess and catalog data
Examines various source systems to evaluate data assets, assess their strategic value and determine their integrity
Performs data analysis including sampling, modeling, profiling, and evaluation of statistical metrics to develop an understanding of data attributes and subject areas
Collaborates with Business and Technical Data Stewards and Owners to understand relevant processes to generate metadata
Researches and assesses data quality, data lineage and data completeness for critical Enterprise/Master data
Documents opportunities and risks and collaborates to determine recommendations to address issues
Creates and maintains the business glossary for specific subject areas, and teaches others how to leverage the glossary to enable self-service data discovery
Recommends 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
Fosters the cross-functional collaboration required to leverage data as a strategic asset to enable self-service analytics, advanced analytics, corporate performance management, and digital transformation
Ensures technical metadata and business glossary meets data protection, data privacy and data quality standards
Collaborates within an agile, multi-disciplinary team of data architects, data analysts, data engineers, BI developers and scrum master to enable access to data supporting various analytics solutions

Requirements

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.

Benefits

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development opportunities
Eligible bonuses and commissions

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisdata modelingdata profilingstatistical metricsSQLmetadata managementdata quality assessmentdata lineagedata completenesstechnical specifications

Soft Skills

collaborationcommunicationproblem-solvingdocumentationteachingcross-functional teamworkrequirements gatheringrecommendation developmentrisk assessmentagile methodology