Design, develop, test, publish and maintain interactive Power BI reports and dashboards for business, operational, process and automation use cases,

Translate business questions and operational needs into meaningful KPIs, analytical views, visualizations and reusable reporting templates,
Develop scalable semantic models using dimensional modeling and star-schema practices with documented calculations, filters, assumptions and business rules,
Create DAX and Power Query calculations, optimize report performance, refresh times, model size, usability and maintainability,
Implement appropriate report and data security, including row-level security where required, and validate outputs against source systems,
Analyze workflow, activity and operational data to identify patterns, bottlenecks, process variations, rework, manual effort and improvement opportunities,
Establish baseline measures and measure changes in cycle time, process quality, manual effort, workflow variation and agreed outcomes,
Support Microsoft Fabric workspace structure, naming conventions, ownership, access controls, capacity visibility, workload monitoring and lifecycle standards,
Support Fabric pipelines, lakehouses, warehouses, semantic models, notebooks, dataflows and Power BI content across development, test and production environments,
Build and maintain data-ingestion, transformation and orchestration pipelines from approved enterprise systems, databases, APIs, files, cloud platforms and business applications,
Perform data profiling, cleansing, normalization, transformation, validation, reconciliation, error handling, exception monitoring and pipeline logging,
Prepare trusted and governed data products for AI, automation, proof-of-concept, MVP, pilot and production initiatives,
Develop dashboards to measure AI and automation adoption, operational outcomes, benefits realization and process improvement impact,
Partner with global and regional stakeholders, process owners, IT, data engineers, solution architects, automation developers, governance teams and business teams,
Create and maintain technical documentation, support guides, data dictionaries, source-to-target mappings, lineage, dependencies, refresh schedules and known limitations,
Follow information security, privacy, retention, confidentiality, responsible AI, role-based access and least-privilege principles,
Support UAT, production releases, troubleshooting, demonstrations, knowledge transfer, user guides, training materials and continuous improvement.

Publication date : 2026-08-17

Business Intelligence (BI) Data Analysis Experienced Professional