Data & Integration Analyst
boldbusiness
Job Description
- Canonical Data Model: Define entity structures, relationships, and identity-resolution logic across accounts, contacts, candidates, deals, projects, and work records.
- Validation at Ingest: Establish upfront validation rules that prevent low-quality records from entering systems, shifting focus from post-hoc error reporting to preventative data hygiene.
- Integration Layer Coordination: Collaborate with full-stack engineers to maintain an adaptable integration layer, ensuring vendor replacements require simple configuration rather than a full code rewrite.
- Reporting & Dashboards Foundation: Build and govern the modeled semantic layer beneath our Power BI transition, unifying legacy reports and setting up actionable dashboards for the future ERP.
- Agent Data Access: Architect clean, permissioned, and documented read paths so internal AI agents consume structured data directly rather than scraping front-end source systems.
- Data Quality Ownership: Serve as the direct point of contact and owner for recurring systemic data defects.
- Migration Strategy: Lead data migration paths off retired legacy systems while preserving historical continuity and audit trails.
- Lean AI & Continuous Improvement: Apply Lean principles and AI tools to reduce data failure points, detect early warning indicators, and define KPIs/SLAs to optimize organizational performance.
- Unstructured Data Insights: Monitor, analyze, and process speech, text, and sentiment analysis inputs across business channels.