This is a remote position.
Data Governance Analyst
Location
United States
Posted
5 days ago
Salary
0
Seniority
Mid Level
Job Description
Data Governance Analyst
SMART TECH SKILLS LLC
Role Description The Senior Data Governance Analyst / Data Steward leads enterprise data governance, data quality, and metadata management initiatives within a regulated financial services environment. This role acts as a key liaison between business and technical teams to ensure data is accurate, trusted, compliant, and effectively managed across its lifecycle. Key Responsibilities - Data Governance & Stewardship - Serve as Data Steward for assigned domains and governance initiatives - Act as liaison across business, Data Engineering, Risk, Compliance, and Security - Support governance committees and promote enterprise data standards - Data Quality Management - Identify and resolve data quality issues - Define and monitor data quality metrics and KPIs - Drive root cause analysis and remediation efforts - Metadata & Data Cataloging - Maintain business glossaries, data dictionaries, and metadata repositories - Support data catalog and lineage documentation initiatives - Document source-to-target mappings and data flows - Data Lineage & Controls - Maintain data lineage within Databricks / Unity Catalog - Document data transformations, dependencies, and ownership - Support impact assessments for system and data changes - Regulatory Compliance & Risk - Ensure compliance with GLBA, NCUA, FFIEC, CFPB, and security standards - Support audits and regulatory reviews - Partner with Risk and Compliance teams on governance controls - Data Access Governance - Review and approve data access requests - Support RBAC and data protection requirements - Ensure secure and compliant data usage - Stakeholder Engagement & Training - Educate stakeholders on governance policies and data standards - Facilitate collaboration between business and technical teams - Provide training on data quality and stewardship practices Qualifications - Bachelor’s degree in a relevant technical or data-related field - 5+ years of experience in data governance, data stewardship, or data management - 5+ years of experience in financial services or other regulated industries - Strong experience with: - Data governance frameworks and stewardship - Data quality management and metadata management - Data lineage, catalogs, and business glossaries - Experience with Databricks, Unity Catalog, SQL, and data warehousing - Knowledge of financial regulatory frameworks (GLBA, FFIEC, NCUA, etc.) - Strong stakeholder communication and collaboration skills Preferred Qualifications - Data governance certifications (DAMA CDMP, DGSP) - Experience with MDM and enterprise governance programs - Experience implementing data catalog or metadata platforms - Strong background in financial services data environments Core Skills & Attributes - Strong governance, data quality, and compliance mindset - Ability to bridge business and technical teams effectively - Strong analytical, problem-solving, and root-cause analysis skills - Excellent communication and stakeholder management - High attention to detail and documentation discipline - Ability to drive governance adoption and continuous improvement Benefits - Competitive salary - Remote (Candidates must reside in CT, NY, MA, or PA) - Senior Level (5+ years in data governance / financial services) This is a remote position.
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
Commercial Strategy and Analytics Manager
DatavantConnecting the world’s health data to improve patient outcomes.
• Support the transformation of the commercial organization through customer segmentation, go to market models design, sales strategy, and customer analytics. • Drive commercial strategy through commercial analytics, executive reporting, and market insights that identify growth opportunities, client trends, and areas of strategic focus. • Build scalable dashboards, performance metrics, and account intelligence frameworks that support commercial decision-making across Client Success and cross-functional stakeholders. • Analyze and synthesize market, client, adoption, and revenue data to deliver actionable insights and forward-looking business recommendations. • Conduct market sizing, segmentation, whitespace, and competitive analysis to support strategic planning and prioritization. • Partner cross-functionally with Client Success, Sales, Finance, Product, Business Intelligence, and Data teams to improve alignment across forecasting, planning, and commercial priorities. • Design and operationalize standardized reporting, analytics frameworks, and planning methodologies that improve consistency and scalability across teams. • Drive adoption and enablement of dashboards, tools, and analytics capabilities to improve visibility, decision-making, and execution. • Continuously improve reporting workflows, data quality, and insight delivery processes to support operational efficiency and business impact. • Support forecasting and demand planning processes through accurate, insight-driven analytics and standardized inputs. • Monitor commercial performance trends, client engagement signals, and revenue pacing to proactively identify risks and opportunities. • Develop methodologies and tracking mechanisms that measure business performance, account health, and strategic progress. • Translate analytics into clear recommendations and action plans that support client growth, commercial performance, and operational priorities.
Commercial Strategy and Analytics Manager
DatavantConnecting the world’s health data to improve patient outcomes.
• Participate in the development and implementation of commercial strategies for Datavant. • Collaborate with cross-functional teams to identify and act on key analytical results. • Analyze market trends and competitive landscape to inform strategic decisions.
Business Intelligence, Data Analytics Consultant
accantec groupAlles aus einer Hand: Wir sind Ihr Komplettanbieter für Business Intelligence, Data Analytics und Data Science.
• Anforderungsaufnahme, Beratung, Softwareentwicklung sowie technische Umsetzung in Kundenprojekten rund um Daten, Big Data, Data Analytics, Data Science sowie Business Intelligence. • Modellierung und Optimierung von Datenarchitekturen und BI-Systemlandschaft der Kunden. • Durchführung interner und externer Coachings, Trainings und Mentoring für Young Professionals bei entsprechender Berufserfahrung. • Kundenworkshops, Reviews und Analysen sowie Pre-Sales-Aktivitäten zur Kundengewinnung und -bindung.
• Lead our payment and fraud analytics strategy, driving data-driven decisions that optimize financial performance and protect our gaming ecosystem • Define and execute the vision for payment analytics, moving beyond standard reporting to predictive insights that improve success rates and conversions • Analyze payment data using SQL and create compelling dashboards with Tableau, PowerBI, or Looker to inform strategic decisions • Implement strategies to reduce payment declines, recover failed transactions, and identify conversion bottlenecks • Lead chargeback mitigation efforts by analyzing trends and implementing automated triggers to protect merchant accounts • Develop detection logic to identify bonus abuse, multi-accounting patterns, and synthetic identities • Collaborate with cross-functional teams to build risk-scoring models that balance security with player experience
