Reporting Senior Analyst

TTEC Digital is seeking a Microsoft Fabric Analytics BA and Developer to help design build and support enterprise analytics solutions across Microsoft Fabric Power BI OneLake lakehouses warehouses semantic models data pipelines and reporting experiences. This hybrid role bridges business analysis and hands-on development: partnering with stakeholders to define reporting needs translate requirements into analytics-ready designs and deliver governed scalable data products that improve decision-making across the organization. The ideal candidate is comfortable moving between business conversations data modeling report development testing documentation and production support within an Agile delivery model.

• Partner with business stakeholders product owners analysts and technical teams to understand reporting needs business processes data definitions and decision-making objectives.
• Translate business requests into clear requirements user stories acceptance criteria process flows data mappings and report specifications.
• Facilitate discovery sessions to clarify source systems metric definitions calculation logic security needs refresh expectations and user experience requirements.
• Identify gaps dependencies risks and data quality concerns early and recommend practical options that balance speed scalability governance and business value.
• Maintain functional documentation that supports development testing adoption training and long-term support.

• Design develop test and support analytics assets in Microsoft Fabric including lake houses warehouses dataflows pipelines semantic models and Power BI reports.
• Build and maintain data ingestion transformation and orchestration patterns using Fabric Data Factory Dataflows Gen2 notebooks SQL or other approved Fabric capabilities.
• Create curated analytics-ready data structures using OneLake lakehouse warehouse and dimensional modeling patterns.
• Develop reusable semantic models that support consistent measures relationships hierarchies security performance and enterprise reporting standards.
• Apply Microsoft Fabric best practices for workspace organization item ownership deployment readiness monitoring and supportability.

• Design build and enhance Power BI reports dashboards and analytical experiences that are intuitive performant and aligned to stakeholder needs.
• Develop semantic models DAX measures relationships calculation logic and report interactions that support accurate and reusable analytics.
• Optimize report performance model design refresh patterns and user experience across enterprise-scale datasets.
• Support data validation reconciliation and metric governance to ensure business users trust the outputs they consume.
• Collaborate with business users to interpret findings refine reporting requirements and improve adoption of analytics solutions.

• Follow enterprise standards for data access workspace security sensitivity privacy retention compliance and operational support.
• Implement and validate appropriate security patterns including workspace permissions item access row-level security object-level security and data-sharing controls where applicable.
• Use approved lifecycle practices such as Git integration deployment pipelines Azure DevOps version control release documentation and deployment validation.
• Document data lineage source-to-target mappings transformation logic model assumptions refresh dependencies and support procedures.
• Partner with administrators architects and data owners to align Fabric solutions with governance capacity monitoring and platform standards.

• Participate actively in sprint planning backlog refinement demos retrospectives solution design discussions and release readiness activities.
• Lead or support unit testing data validation system testing user acceptance testing defect triage and production of hyper care.
• Create clear release notes training materials support documentation and adoption guidance for analytics consumers.
• Communicate progress risks dependencies data limitations and technical tradeoffs clearly to both technical and non-technical stakeholders.
• Provide knowledge sharing and enablement to business users analysts report developers and support teams to improve analytics maturity and self-service adoption.

• Bachelors degree in information systems Computer Science Data Analytics Business or a related field; or equivalent professional experience.
• 4 years of experience in business intelligence analytics data analysis data engineering reporting or related technology delivery.
• Hands-on experience with Microsoft Fabric Power BI or related Microsoft analytics technologies.
• Strong business analysis skills including requirements gathering user story creation acceptance criteria data mapping process analysis and stakeholder facilitation.
• Experience building Power BI reports dashboards semantic models DAX measures and reusable reporting datasets.
• Working knowledge of SQL dimensional modeling data quality validation source-to-target mapping and analytical data design.
• Familiarity with Microsoft Fabric concepts such as OneLake lakehouses warehouses data pipelines dataflows notebooks deployment pipelines and workspace management.
• Ability to troubleshoot reporting model refresh data quality permissions and production support issues across development test and production environments.
• Excellent written and verbal communication skills including the ability to explain data concepts and technical tradeoffs clearly to non-technical stakeholders.

• Microsoft Fabric Analytics Engineer Associate Power BI Data Analyst Associate Fabric Data Engineer Associate or related Microsoft certification.
• Experience with Microsoft Fabric lakehouse or warehouse architecture Medallion patterns Direct Lake shortcuts mirroring or enterprise-scale semantic model design.
• Experience with PySpark KQL T-SQL Dataflows Gen2 Fabric notebooks Real-Time Intelligence or advanced data pipeline development.
• Experience with Git integration Azure DevOps deployment pipelines release management and governed analytics lifecycle practices.
• Familiarity with Microsoft Purview data cataloging lineage sensitivity labels data governance and enterprise security practices.
• Experience working in a Microsoft partner consulting professional services CX contact center or enterprise IT environment.

• Business-outcome mindset: connects analytics capability to better decisions operational visibility productivity and measurable business value.
• Analytical curiosity: asks strong questions validates assumptions and digs into data issues until the business meaning is clear.
• Systems thinking understands how source systems pipelines data models security reports governance and adoption work together across an analytics platform.
• Delivery discipline: moves quickly while maintaining quality documentation testing traceability and supportability.
• Governance-minded: designs with access data protection metric consistency lineage and long-term ownership in mind from the start.
• Collaborative: builds productive relationships with business stakeholders data owners analysts architects administrators developers and support teams.