Senior Business Intelligence Analyst

The Senior Business Intelligence Analyst analyzes data and presents findings to business owners and senior leadership, and partners with Broadspire GBSC management to develop executive-facing dashboards, scorecards, and organizational reporting that represent metric results. The role sources and consolidates data from multiple disparate systems and transforms raw operational, financial, and performance data into a single, governed source of truth and into clear, actionable insight that informs strategic decisions, improves process efficiency, and drive measurable business value across the GBSC and its internal customers.

• Executive Dashboards & Scorecards
  
  • Design, build, and maintain enterprise and organizational dashboards, scorecards, and self-service reports for executives and business owners.
  • Translate complex operational, financial, and performance data into clear, interactive visualizations (e.g., Power BI) that highlight trends, exceptions, and key performance indicators (KPIs).
  • Develop reporting solutions with drill-down capabilities across multiple levels of granularity to support strategic, data-driven decision-making.
    
• Insight Generation & Storytelling
  
  • Analyze data to generate actionable insights, identify root causes, and develop forward-looking recommendations.
  • Present findings to business owners and senior stakeholders through compelling data storytelling techniques.
  • Consolidate complex information into concise executive summaries that support measurable business outcomes.
    
• Data Sourcing, Integration & Modeling
  
  • Identify, access, and profile raw data from multiple disparate operational, financial, and performance source systems.
  • Extract, cleanse, transform, and integrate data into a consolidated, governed data model that serves as a single source of truth.
  • Design and maintain underlying data architectures, including relationships, hierarchies, and aggregation levels.
  • Enable dashboard reporting at various levels of granularity, ranging from executive summaries to transactional-level drill-downs.
    
• End-to-End Process Analysis
  
  • Review assigned business processes from end to end to identify and mitigate operational and technological risks.
  • Identify opportunities to improve efficiency, quality, customer satisfaction, and overall business performance.
  • Apply an expert understanding of current-state business processes to develop recommendations and resolve complex problems.
    
• Reporting Design & Continuous Improvement
  
  • Plan, coordinate, and execute all phases of moderately complex reporting and data analysis initiatives.
  • Identify opportunities to enhance reporting capabilities and improve existing solutions, methodologies, and processes.
  • Establish and maintain data quality, governance, and consistency standards across reports, dashboards, and analytics outputs.
  • Strengthen data-driven decision-making through continuous improvement of reporting accuracy, timeliness, and effectiveness.
    
• Requirements, Solutioning & System Support
  
  • Gather, analyze, and document business requirements for system modifications, enhancements, and implementations.
  • Collaborate closely with developers and IT teams to translate business requirements into technical solutions.
  • Support report testing, system conversions, upgrades, enhancements, and implementation activities.
    
• Stakeholder Partnership & Strategy
  
  • Partner with Broadspire GBSC management and business owners to communicate the root causes of customer success and failure.
  • Contribute to product and process enhancement initiatives by identifying business requirements and improvement opportunities.
  • Develop account-specific strategies that drive measurable business results and operational success.
  • Build and maintain strong relationships with key stakeholders to support organizational objectives.
    
• Project Leadership & Mentoring
  
  • Lead small-scale projects and support managers in delivering larger, more complex operational initiatives.
  • Serve as a primary point of contact and subject matter expert for assigned projects and analytical activities.
  • Coach, train, and mentor junior team members to support their professional development and performance.
  • Provide guidance and knowledge-sharing to strengthen team capabilities and operational effectiveness.
    

• Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Computer Science, or a related field required.
• Equivalent practical experience in data analytics may be considered as a supplement to, but not a substitute for the required degree.
• Minimum of five (5) years of professional experience in data analysis, reporting, dashboard development, and data visualization.
• Experience developing data models and integrating data from multiple source systems.
• Prior experience supporting analytics and reporting functions within a shared services, BPO, or GBS environment preferred.
• Portfolio or work sample showcasing the development of an end-to-end analytics solution, including data sourcing, modeling, and executive dashboard creation, is required for interview consideration.
• Technical
  • Data Visualization & BI: Advanced hands-on expertise in Power BI (or equivalent tools such as Tableau or Qlik) to build interactive, executive-ready dashboards. Strong data modeling and DAX skills required.
  • Data Sourcing & Integration (ETL): Hands-on ability to extract, cleanse, transform, and consolidate multiple disparate data sources into a single, unified data model using Power Query, SQL, and dataflows. Strong knowledge of data modeling, including star schemas, relationships, and drill-down reporting design.
  • Analytics Tools: Advanced proficiency in Microsoft Excel (including Power Query, PivotTables, and advanced formulas) and Microsoft PowerPoint. Experience with Microsoft Access preferred.
  • Data Querying: Proficiency in SQL for data extraction and transformation, with exposure to relational databases and data warehousing concepts.
  • Modern Data Platforms: Working experience with at least one modern data platform (e.g., Microsoft Fabric, Azure SQL Data Warehouse, or an equivalent solution) for scalable data preparation and modeling.
  • Additional programming or database experience (e.g., Python, R, or Power Automate) is a strong advantage.
  • Ability to quickly learn new tools and technologies as needed and train others in their use.
• Analytical & Business
  • Proven ability to manage end-to-end data pipelines, from raw multi-source data through modeling and insight generation, and to lead end-to-end data analysis projects that translate data into strategic business insights.
  • Strong understanding of statistics and the scientific method, with excellent logical reasoning and structured problem-solving skills.
  • Ability to analyze complex problems and apply holistic, systems-level thinking to develop effective solutions.
  • Lean, Six Sigma, or other Quality Management System (QMS) certifications preferred, demonstrating a continuous improvement mindset.
• Communication & Leadership
  • Ability to communicate complex concepts clearly and compellingly to non-technical and executive audiences through effective data storytelling.
  • Strong stakeholder management, coaching, and mentoring skills, with the ability to confidently present to senior leadership.
  • High attention to detail, strong ownership, and a commitment to data accuracy, integrity, and confidentiality.
• Behavioral Competencies
  • Strong business acumen with the ability to connect analytical work to commercial and operational outcomes, not just technical outputs.
  • Comfortable working in ambiguous environments and able to maintain progress when requirements, data, or priorities are unclear or evolving.
  • Ability to influence decisions and build trust with stakeholders across multiple levels and functions without direct authority.
  • Demonstrates ownership and accountability by taking end-to-end responsibility for deliverables, quality, and follow-through.
  • Exhibits intellectual curiosity and a commitment to continuous learning by proactively exploring data, challenging assumptions, and adopting new tools and methodologies.
  • Works effectively across functions, cultures, and global time zones, including the UK, US, and Philippines.
• Data Governance, Security & Confidentiality Controls
  • Applies data governance standards to maintain data accuracy, consistency, lineage, and a single source of truth across all reports and dashboards.
  • Safeguards confidential and sensitive financial, operational, client, and personal data in accordance with company confidentiality policies and applicable data privacy regulations.
  • Enforces access controls by applying role-based security, least-privilege principles, and row-level or report-level security to ensure users can access only authorized data.
  • Maintains compliance with applicable regulatory, client, privacy, and information security requirements, including URAC standards where applicable.
  • Supports audit readiness by maintaining documentation, version control, and change-management records for data models, reports, and dashboards.
• Professional certification in Power BI, Tableau, or a related data analytics discipline preferred.
• Lean, Six Sigma, or other Quality Management System (QMS) certification preferred.