Senior Data & Business Intelligence Analyst

Accountabilities: In this role, you will lead analytics and business intelligence initiatives from requirements gathering through deployment, ensuring that reporting products are accurate, scalable, secure, and aligned with business needs. Your responsibilities will include: Business Partnership and Analytics Delivery Partner with stakeholders across the organization to clarify business questions, gather requirements, define KPIs, and translate needs into practical analytics solutions. Lead assigned analytics and reporting projects from discovery through deployment, managing scope, milestones, testing, stakeholder reviews, documentation, and adoption support. Analyze trends, performance drivers, and operational results, communicating findings clearly to support informed decisions. Deliver responsive ad hoc analysis while identifying opportunities to turn recurring requests into governed, reusable solutions. Business Intelligence Development Design, develop, maintain, and enhance Power BI dashboards, reports, semantic models, scorecards, and paginated reports. Create intuitive and accessible visual experiences using consistent definitions, effective information design, and audience-appropriate storytelling. Use DAX, Power Query, SQL, and related tools to prepare, model, validate, and present data from enterprise sources. Monitor report accuracy, refresh reliability, usability, and performance, troubleshooting issues and continuously improving high-value reporting products. Maintain the enterprise report catalog, promote reuse, and support the consolidation or retirement of redundant and legacy reports. Data Integration, Quality, and Governance Build and maintain reporting datasets and dimensional models using data warehousing practices, including facts, dimensions, and star schemas. Work with Microsoft Fabric, Azure data services, SQL Server, APIs, and existing data integration processes to support scalable analytics. Validate data accuracy, completeness, and consistency before making information available to business users. Follow enterprise data governance, security, privacy, records management, and access-control requirements. Document data lineage, report logic, business rules, data definitions, technical dependencies, and support procedures. Automation, AI, and Continuous Improvement Use Power Automate and platform-native capabilities to streamline recurring reporting and notification workflows. Apply approved AI-assisted analytics capabilities, including Copilot-enabled features, natural-language summaries, anomaly detection, and explanatory visuals, while maintaining human validation and governance controls. Evaluate emerging capabilities across Power BI, Microsoft Fabric, and the broader Microsoft data ecosystem, sharing practical recommendations and reusable solutions. Identify reporting and workflow inefficiencies and collaborate with business and technical teams to implement measurable improvements. Enablement and Team Contribution Provide guidance, training, and support to help business users interpret data and use self-service analytics effectively. Participate in peer reviews, testing, knowledge sharing, cross-training, and backup coverage for essential analytics services. Contribute to team standards for development, version control, release management, documentation, and analytics quality. Requirements The ideal candidate combines strong business intelligence development expertise with analytical judgment, data management knowledge, and the ability to translate complex technical information into practical business insights. The following qualifications and skills are required: Bachelor's degree in Data Analytics, Information Systems, Computer Science, Statistics, Mathematics, Economics, Finance, Business, or a related field. Equivalent relevant experience may be considered. At least 5 years of experience in business intelligence, data analysis, reporting, business operations, or a related discipline. Hands-on experience developing Power BI reports and dashboards, including working knowledge of DAX, Power Query, semantic models, and data visualization practices. Working proficiency in SQL for data retrieval, validation, troubleshooting, and reporting, preferably in a Microsoft SQL Server environment. Experience gathering requirements, defining KPIs, testing outputs, documenting solutions, and translating business needs into technical specifications. Understanding of relational data, dimensional modeling, data warehousing, ETL/ELT concepts, and enterprise systems integration. Strong analytical judgment, attention to detail, and organizational skills. Ability to manage assignments independently while collaborating effectively across teams. Excellent written, verbal, and visual communication skills, including the ability to explain technical concepts to non-technical audiences. U.S. citizenship and the ability to obtain a Secret security clearance. Preferred Qualifications Advanced Power BI data modeling, DAX, Power Query, report performance optimization, or paginated reporting experience. Experience with Python, R, or another analytics language for data preparation, automation, forecasting, or advanced analysis. Familiarity with version control, collaboration tools, work tracking, and release management practices. Experience supporting executive reporting, enterprise KPI development, financial or operational analytics, or regulated data environments. Relevant Microsoft certifications, such as Microsoft Certified: Power BI Data Analyst Associate. Experience using Microsoft SharePoint for content and knowledge management. Strong process documentation skills and the ability to create reusable analytical and visualization assets. Collaborative mindset, with the ability to work independently and contribute effectively as part of a team. Additional Information 100% remote position. Candidates must reside near one of the following office locations: Huntsville, Alabama; Alexandria, Virginia; Dayton, Ohio; or Colorado Springs, Colorado. U.S. citizenship is required. Ability to obtain a Secret security clearance is mandatory. Benefits Fully remote work arrangement. Opportunities to lead analytics initiatives and contribute to projects that influence organizational strategy and performance. Professional development through exposure to modern Microsoft data platforms, business intelligence tools, and AI-assisted analytics capabilities. Opportunities to mentor colleagues, share knowledge, and contribute to team-wide standards and innovation.