Enterprise Data & Analytics - Analytics and Insights - Consultant
Tasks
- Apply business KPI frameworks and performance analytics to demonstrate AI value
- Build data pipelines using ELT and ETL
- Conduct user acceptance testing UAT for data products
- Create PoCs and MVPs for data and AI solutions
- Create proposals RFPs and bids support client pitching
- Create user centered analytics experiences with storytelling and UI UX
- Design and implement analytics products from business requirements
- Develop data models with schema design semantic modeling and statistical analysis
- Develop graph analytics to monitor and measure outcomes
- Lead analytics and BI product delivery using agile planning governance and execution
- Manage stakeholder engagement and client presentations
- Modernize legacy data platforms with data engineering and platform configuration
Perks/Benefits
Skills/Tech-stack
AWS | Acceptance Testing | Agile | Azure | Confluence | Copilot Studio | Data Engineering | Data Governance | Data Modeling | Data Observability | Data Quality | Data pipeline | Data pipeline automation | Databricks | Dataverse | ELT | ETL | GCP | Graph analytics | Informatica | Jira | KPI Framework | Kanban | Langchain | Looker | Machine Learning | Microsoft Fabric | Miro | Model Context Protocol | Performance Analytics | Pipeline Automation | Power Apps | Power BI | Power Platform | Python | Qlik | R | SAFe | SQL | Scrum | Semantic Modeling | Snowflake | Statistical Analysis | Tableau | UAT | UI/UX | UI/UX Design | UX Design | User Acceptance | User Acceptance Testing
Education
N/A
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