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We are seeking a highly motivated Business Analyst to join a growing Data & Optimization team focused on enterprise data governance, automation, analytics, and data enablement initiatives. This role will support strategic efforts to improve data usability, accessibility, quality, and governance across the organization. The ideal candidate brings strong experience in data analysis, data governance, data mapping, and reporting, along with the ability to work cross-functionally to drive scalable, AI-assisted data practices. This position is well-suited for someone who thrives in fast-paced environments, enjoys solving complex data challenges, and can independently drive initiatives from concept through execution.
Job Responsibility
Support enterprise data governance and data management initiatives
Assist with data validation, cleansing, enrichment, and integrity monitoring
Help establish scalable data quality and compliance processes
Support metadata management, data lineage, and cataloging efforts
Conduct data analysis, proof-of-concepts (POCs), and pattern detection initiatives
Identify trends, anomalies, and insights that support business decision-making
Assist with KPI development, project objectives, and reporting initiatives
Utilize AI-assisted automation and advanced analytics to improve workflows
Lead deployment and rollout of new reports, dashboards, and automation solutions
Create documentation including data dictionaries, job aids, training materials, and process documentation
Deliver user training sessions and ongoing support to improve adoption
Partner with business, operations, and technical teams to improve data accessibility
Support self-service and AI-assisted data initiatives
Translate business requirements into scalable data solutions
Collaborate on enterprise-wide process improvement efforts
Requirements
Bachelor's degree in Data Science, Computer Science, Information Systems, or related technical field
Proven experience in data analysis, data governance, and data management
Strong understanding of data mapping, metadata management, and data quality processes
Proficiency with SQL, Power BI, and Microsoft Office
Strong analytical, organizational, and problem-solving skills
Excellent communication and stakeholder collaboration abilities
Ability to manage multiple projects independently
Nice to have
Experience with Snowflake, Atlan, or Microsoft Fabric
Familiarity with AI-assisted automation, advanced analytics workflows, or enterprise data catalog tools
Knowledge of data privacy regulations, compliance standards, or enterprise data governance frameworks
What we offer
Medical, vision, dental, and life and disability insurance