Ampcus inc

Business Analyst 3

Ampcus inc$90K — $120K *
Business Services
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in business analysis and metadata acquisition
  • Extensive SQL expertise for data extraction and manipulation
  • Experience explaining technical concepts to non-technical stakeholders
  • Proficient in collaborating across technical and business teams
  • Strong problem-solving and analytical skills
  • Experience in Agile development methodologies

Responsibilities

  • Act as the main link between business users and technical teams
  • Analyze and document business requirements for metadata processes
  • Connect enterprise systems with source data applications
  • Automate processes for metadata collection and updates
  • Translate technical metadata concepts into business-friendly language
  • Collaborate to create reporting solutions and dashboards
  • Support initiatives like metadata enrichment and glossary validation
  • Research AI technologies for improving metadata management

Benefits

  • Opportunity to work in a strategic role within a high-impact team
  • Engagement with cutting-edge AI technologies
  • Professional development through training and workshops
  • Collaborative work environment with cross-functional teams
  • Impactful work that promotes data literacy across the organization
Full Job Description
Job Title: Business Analyst 3

Location(s): Austin, TX

Job Summary
The client is seeking a senior Business Analyst to support an Enterprise Information Management (EIM) initiative within a Performance Management and Analytics environment. This role serves as a Metadata Ingestion Analyst and strategic liaison between technical IT teams and business program stakeholders, focusing on metadata acquisition, data lineage, business glossary development, analytics enablement, data governance, and AI-assisted metadata management.

The ideal candidate will possess extensive experience in business analysis, metadata management, SQL, data governance, and stakeholder engagement. The role requires translating complex technical concepts into business-friendly language while promoting data literacy, supporting reporting initiatives, and leveraging AI technologies for metadata discovery and enrichment.

Key Responsibilities
  • Serve as the primary liaison between business users, program teams, technical teams, project sponsors, and subject matter experts.
  • Gather, analyze, and document business requirements related to metadata acquisition, data cataloging, data lineage, and glossary development.
  • Connect enterprise metadata cataloging and lineage systems with source applications, databases, and operational systems.
  • Automate metadata collection, ingestion, and update processes for high-value enterprise data assets.
  • Translate technical findings, metadata concepts, and data limitations into clear and understandable business language.
  • Extract, integrate, analyze, and enrich metadata from multiple complex internal and external data sources.
  • Collaborate with business users, analysts, and IT leadership to create reporting solutions, dashboards, and visualizations.
  • Support metadata enrichment, glossary validation, and business data lineage analysis initiatives.
  • Validate AI-generated outputs and identify potential inaccuracies, inconsistencies, and hallucinations.
  • Ensure compliance with data governance standards, reporting requirements, and regulatory policies.
  • Promote data literacy across the organization through training sessions, workshops, and user education.
  • Develop documentation, tutorials, standards, and best practices for metadata management and glossary usage.
  • Partner with data engineering, analytics, governance, and program teams to resolve metadata-related issues and improve data quality.
  • Provide guidance on interpreting metadata trends and answering complex business and technical data questions.
  • Research emerging AI, metadata management, and data governance technologies and best practices.
  • Develop standardized AI prompts, templates, and query strategies for metadata retrieval, reporting, and analytics use cases.

Required Qualifications
  • 8+ years of experience gathering business requirements and translating complex metadata acquisition and operational requirements into actionable business solutions.
  • 8+ years of experience explaining technical findings, metadata concepts, and data limitations to non-technical users and leadership.
  • 8+ years of experience working in complex data analysis, senior business analyst, systems analyst, or data liaison roles.
  • 8+ years of strong SQL experience including data extraction, manipulation, analysis, and enrichment.
  • 8+ years of experience collaborating with business users, analysts, and IT teams to develop data glossaries and perform business data lineage analysis.
  • 8+ years of experience with stakeholder communication, presentations, facilitation, and relationship management.
  • Strong analytical, problem-solving, and business process analysis skills.
  • Experience working within Agile development environments.

Preferred Qualifications
  • 5+ years of experience with Business Intelligence and Data Warehouse environments.
  • 5+ years of experience serving as the primary point of contact for metadata and glossary-related analytics initiatives.
  • 5+ years of experience working within Health and Human Services, healthcare, government, or other regulated environments.
  • 5+ years of experience with data governance, metadata management, and data quality principles.
  • Experience with metadata governance platforms such as Informatica Enterprise Data Catalog (EDC) and Informatica Axon Data Governance.
  • Experience promoting organizational data literacy initiatives.
  • 2+ years of experience training, mentoring, and supporting users with varying levels of technical expertise.
  • Experience developing AI prompts and leveraging AI tools for metadata discovery and knowledge management.

Key Skills
  • Business Analysis
  • Metadata Management
  • Metadata Ingestion
  • Data Governance
  • Data Lineage
  • Business Glossary Development
  • Data Cataloging
  • SQL
  • Data Analysis
  • Data Quality
  • Business Intelligence
  • Data Warehousing
  • Reporting & Analytics
  • Stakeholder Management
  • Requirements Gathering
  • Documentation
  • Informatica EDC
  • Informatica Axon
  • AI Prompt Engineering
  • AI-Assisted Data Discovery
  • Data Literacy Training
  • Knowledge Transfer
  • Agile Methodology
  • Communication & Presentation Skills

Background Check:
  • Required

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