Power BI Developer

The Power BI Developer will design, develop, administer, and optimize business intelligence and analytics solutions that convert complex data into clear, actionable insights. This role supports strategic and operational decision making across Customer Experience, Marketing, Sales, Operations, Finance, and Retention by delivering trusted reporting, scalable data models, and effective data visualizations.

The successful candidate will have experience across the full business intelligence lifecycle, including requirements gathering, data integration, data modeling, ETL and ELT development, Power BI administration, dashboard development, executive reporting, and analytics governance. The role will also support the responsible use of artificial intelligence in analytics workflows, with Databricks experience preferred. 

Key Responsibilities

Business Intelligence Development and Reporting

• Design, develop, test, deploy, and maintain Power BI dashboards, scorecards, key performance indicators, and executive reports.
• Partner with business leaders and subject matter experts to gather requirements and translate business needs into scalable reporting and analytics solutions.
• Create intuitive visualizations that support operational, tactical, and strategic decision making.
• Develop executive-level reporting that clearly communicates performance trends, opportunities, risks, and recommended actions.
• Publish, distribute, monitor, and maintain reports and dashboards across the organization.

Data Modeling and Analytics

• Develop and maintain semantic models, star schemas, data relationships, and reusable reporting structures.
• Build and optimize DAX measures, calculated columns, key performance indicators, and business logic.
• Improve reporting performance through efficient data modeling, query optimization, and established Power BI best practices.
• Analyze business performance data to identify trends, variances, opportunities, and actionable insights.
• Validate analytical outputs and clearly document metric definitions, assumptions, and calculation logic.

Data Integration, Transformation, and Engineering

• Integrate and manage data from multiple platforms, including Salesforce, ERP systems, customer experience platforms, operational databases, APIs, cloud applications, and data warehouses.
• Use Power Query to cleanse, transform, validate, and enrich data for reporting and analysis.
• Design and maintain ETL and ELT processes, data pipelines, and automated workflows.
• Support enterprise data warehouse initiatives and modern data architecture solutions.
• Monitor data quality and partner with technical and business teams to resolve issues affecting accuracy, consistency, completeness, and timeliness.

Power BI Administration and Governance

• Administer Power BI workspaces, gateways, semantic models, licensing, deployment processes, and refresh schedules.
• Implement and maintain Row-Level Security, access controls, and governance standards.
• Monitor reporting environments and address refresh failures, performance concerns, and access issues.
• Establish and document standards that promote consistency, security, scalability, usability, and compliance.
• Support user adoption through documentation, training, change management, and ongoing assistance.

Artificial Intelligence and Advanced Analytics

• Apply AI-assisted analytics capabilities to improve data exploration, insight generation, reporting efficiency, and decision support.
• Partner with data and business teams to identify practical AI use cases that align with defined business needs and available data.
• Support the evaluation, testing, and responsible implementation of AI-enabled analytics solutions, including validation of outputs for accuracy and relevance.
• Use Databricks or comparable cloud analytics platforms to support data preparation, advanced analytics, machine learning workflows, or AI-enabled reporting where appropriate.
• Document AI use cases, data requirements, limitations, and validation steps to support transparency, governance, and responsible adoption.

BI Architecture and Strategic Partnership

• Contribute to enterprise analytics architecture using Microsoft Fabric, Azure Synapse Analytics, Azure Databricks, and other modern data platform technologies.
• Collaborate with stakeholders to define key performance indicators, reporting strategies, and performance measurement frameworks.
• Present findings, recommendations, and technical considerations to both technical and executive audiences.
• Serve as a trusted partner for business intelligence, reporting strategy, data quality, and data-informed decision making.

Required Qualifications

• Hands-on experience with Azure Databricks, including data preparation, notebooks, lakehouse environments, machine learning workflows, or AI-enabled analytics.
• 5 or more years of experience in business intelligence, data analytics, SQL, Power BI development, or related disciplines.
• Experience developing enterprise dashboards, reports, semantic models, and executive-level visualizations in Power BI.
• Strong knowledge of DAX, Power Query, SQL, data warehousing concepts, and dimensional modeling methodologies.
• Experience with Power BI workspaces, gateways, licensing, security, Row-Level Security, deployment, and refresh management.
• Experience integrating, transforming, validating, and analyzing data from multiple business systems and data sources.
• Working knowledge of AI concepts and experience using AI-assisted tools or capabilities within data, analytics, reporting, or business intelligence workflows.
• Strong analytical, problem-solving, communication, documentation, and presentation skills.
• Ability to explain complex technical and analytical concepts to technical and non-technical stakeholders.

Preferred Qualifications

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.
• Experience with Microsoft Fabric, Azure Synapse Analytics, or comparable cloud analytics platforms.
• Experience supporting AI or machine learning use cases, including data preparation, model output validation, governance, or integration with business intelligence solutions.
• Experience building or supporting enterprise data warehouses, lakehouses, data pipelines, and automated data workflows.
• Knowledge of Voice of Customer, Customer Satisfaction, Net Promoter Score, retention, and customer analytics.
• Experience with predictive analytics, forecasting, statistical analysis, or advanced business intelligence methodologies.
• Relevant Microsoft Fabric, Azure, Power BI, Databricks, data analytics, or AI certifications.
• Success in This Role
• Success in this role will be demonstrated through reliable and scalable reporting, trusted data and metric definitions, improved access to actionable insights, effective stakeholder partnerships, responsible use of AI capabilities, and continued advancement of the organization’s analytics maturity.