Description

 Design, develop, test, and support enterprise Business Intelligence (BI), analytics, and modern data

• platform solutions utilizing Microsoft Azure technologies, including Azure SQL Database, Microsoft
• Fabric, Azure Synapse Analytics, and Azure Data Lake.
• Develop interactive dashboards, reports, scorecards, and advanced data visualizations using Power BI.
• Administer and maintain the Power BI Service environment, including workspaces, gateways, security
• roles, deployment pipelines, and governance standards.
• Collaborate with business stakeholders to gather requirements, translate business needs into scalable BI
• solutions, and deliver actionable insights.
• Design and optimize semantic models, dimensional data models, and enterprise reporting datasets using
• Power BI, DAX, and SQL.
• Develop and maintain ETL/ELT data integration processes using Azure Data Factory, Microsoft Fabric
• Dataflows, Informatica IICS, and related technologies.
• Implement row-level security (RLS), data governance, data quality, and compliance standards across
• enterprise reporting solutions.
• Work closely with onsite, offshore, and cross-functional teams to manage deliverables, timelines, and
• project execution.
• Lead, mentor, and support BI developers, analysts, and technical team members.
• Partner with business leaders to identify KPIs, operational metrics, and analytics opportunities that
• improve decision-making.
• Evaluate current reporting and data architecture landscapes and recommend scalable cloud-based
• solutions and modernization strategies.
• Create wireframes, prototypes, visual mock-ups, and proof-of-concept dashboards for business review
• and approval.
• Support enterprise initiatives related to AI-enabled analytics, self-service reporting, predictive analytics,
• and data democratization.
• Ensure high availability, performance optimization, scalability, and security of reporting and analytics
• platforms.
• Participate in Agile ceremonies, sprint planning, code reviews, testing, and release management activities.
• Maintain technical documentation, data dictionaries, and development standards.
• Stay current with emerging Microsoft technologies, analytics trends, AI capabilities, and best practices,
• and share knowledge with the team.
• Willingness to learn and support FBM’s evolving technology ecosystem and enterprise applications.

Essential Knowledge and Skills

• Strong experience with Microsoft Power BI, including Power BI Service, Power Query, DAX, semantic
• modeling, deployment pipelines, and workspace administration.
• Hands-on experience with Microsoft Fabric, Azure Synapse Analytics, Azure SQL Database, Azure Data
• Lake, Azure Analysis Services, and related Azure services.
• Experience building enterprise-scale BI and analytics solutions using Power BI, SQL Server, Tableau,
• SSRS, and related reporting technologies.
• Strong expertise in SQL development, query optimization, database design, and performance tuning in
• SQL Server and cloud-based data platforms.
• Experience with ETL/ELT tools and data integration platforms such as Azure Data Factory, Informatica
• IICS, Fabric Dataflows, or similar technologies.
• Knowledge of modern data architecture concepts including data warehousing, data lakes, medallion
• architecture, master data management (MDM), and data governance.
• Familiarity with AI-driven analytics, Copilot capabilities, and self-service BI enablement strategies is
• highly preferred.
• Strong understanding of Agile and traditional SDLC methodologies.
• Experience working with large-scale enterprise datasets and high-volume transactional systems.
• Ability to communicate effectively with technical and non-technical stakeholders at all organizational
• levels.
• Proven leadership, mentoring, and project coordination experience.
• Strong analytical, troubleshooting, organizational, and problem-solving skills.
• Ability to manage multiple priorities and operate effectively in a fast-paced environment.
• Excellent documentation, presentation, and client-facing communication skills.
• Experience working in onsite/offshore delivery models is preferred.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field.
• Microsoft certifications in Power BI, Azure Data Engineering, Fabric, or Data Analytics are highly
• preferred.
• Experience with ERP, CRM, pricing, or enterprise operational systems is a plus.
• Experience with Python, Spark, or advanced analytics tools is a plus.

Additional Preferred Experience

• Experience integrating and reporting against SAP S/4HANA and SAP Datasphere.
• Hands-on experience with SAP Analytics Cloud (SAC) for dashboarding, planning, forecasting, and
• enterprise analytics.
• Experience building hybrid analytics solutions integrating SAP data sources with Microsoft Power BI,
• Microsoft Fabric, and Azure data platforms.
• Knowledge of SAP extractors, CDS Views, OData services, and SAP connectivity methods for enterprise
• reporting solutions.
• Familiarity with financial, operational, supply chain, and manufacturing reporting within SAP
• environments is highly preferred

Key Skills

Education

Bachelor's degree