Analyst / Senior Analyst - Data Governance & Lineage
New York, New York, United States
HybridFull Time
Tiger Analytics: Provides AI and advanced analytics consulting for global enterprises.
2+ YOE2+ years in data analysis/engineering/governance, working knowledge of GCP data services, strong SQL and scripting (Python preferred), data modeling and lineage familiarity, data quality exposure, strong documentation and stakeholder communication.
Government and Public Sector - AI & Data - Ontology Senior Analyst
McLean or New York City or Washington or California or Sacramento or Washington, D.C.
$107k-$177k/yrHybridFull Time
EY: Global firm providing audit, tax, and professional consulting services.
3+ YOEBachelor's degree, Secret clearance eligibility, and 3–5+ years of AI and data experience, including enterprise ontologies, semantic data models, data governance, and analytics-ready data structures.
Richmond or Lynchburg or Stamford or Raleigh or Alabama or Arkansas or Connecticut or Delaware or Florida or Georgia or Illinois or Indiana or Iowa or Kansas or Kentucky or Louisiana or Maine or Maryland or Massachusetts or Michigan or Minnesota or Mississippi or Missouri or Nebraska or New Hampshire or New Jersey or New York or North Carolina or North Dakota or Ohio or Oklahoma or Pennsylvania or Rhode Island or South Carolina or South Dakota or Tennessee or Texas or Virginia or North America or Vermont or West Virginia or Wisconsin
$97k-$145k/yrHybridFull Time
Genworth FinancialNYSE: GNW: Provides insurance products for aging care and mortgage protection.
5+ YOEBachelor's degree in IT/data-related field, 5+ years experience in business intelligence/data analytics/process automation, certifications in Alteryx/APEX/Power BI, deep data integration/ETL/modeling experience, familiarity with data governance, SQL/Oracle and cloud platforms preferred.
Alteryx, APEX, Power BI, Databricks, SQL, Oracle, AWS, Azure
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
12+ YOE12+ years in financial services with expertise in FP&A systems, MIS architecture, budgeting/forecasting and revenue reporting; experience leading enterprise technology/data teams; advanced Excel and financial modeling; strong communication and data governance skills.