Senior Business Intelligence Analyst
# Senior Business Intelligence Analyst **Crawford & Company** · Manila · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Indeed* --- ### About the Role 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.
Наблюдалась 2026-09-17, впервые 2026-09-17, источник — Indeed.