Senior Business Intelligence Analyst - Tableau

The expected salary range for this position is $ - $. Employees in specific high cost of labor locations in the United States (such as San Francisco, CA and Seattle, WA) may qualify for a geographic differential. Compassion International is not responsible for third parties who omit this information when copying and re-posting job openings.

Senior Business Intelligence Analyst, you will serve as a strategic partner to Governance, Risk & Assurance (GRA) and the broader General Counsel Strategy Office (GCSO), helping teams across the organization transform data into actionable insights and better business decisions. In this role, you'll develop a deep understanding of Compassion's data landscape, systems, and business processes, using business intelligence, analytics, and emerging AI capabilities to identify opportunities for operational improvement, process automation, and informed decision-making.

You will work hands-on with complex datasets and collaborate with stakeholders across Governance, Risk & Assurance, People & Culture, Global Security, Marketing, Global Program, IT, and enterprise data communities. This position offers a unique opportunity to shape how data and AI are leveraged within a growing function, helping teams move low-value work into systems and automation so they can focus on higher-impact activities.

As the Operational Data Steward for GCSO, this role serves as a key resource for data governance, reporting, analytics, and business intelligence initiatives that support the division's strategic priorities.

Maintain a personal relationship with Jesus Christ.

Act as an advocate to raise the awareness of the needs of children. Understand Christ's mandate to protect children. Commit to and prioritizes child protection considerations in all decision-making, tasks and activities across the ministry. Abide by all behavioral expectations in Compassion's Statement of Commitment to Child Protection and Code of Conduct. Report any concerns of abuse, neglect or exploitation of children through Compassion's internal reporting process and appropriately support responses to incidents if they occur.

• Serve as the primary business intelligence and analytics partner for Governance, Risk & Assurance and the General Counsel Strategy Office.
• Build a deep understanding of Compassion's data ecosystem, including data sources, repositories, system relationships, and organizational data structures.
• Analyze complex datasets to identify trends, risks, opportunities, and actionable insights that support decision-making and strategic planning.
• Partner with business stakeholders to understand challenges, uncover opportunities, and recommend data-driven solutions.
• Design, develop, and maintain dashboards, reports, data models, and analytical tools that support operational and strategic initiatives.
• Help identify opportunities for automation, AI adoption, and improved use of technology across business functions.
• Support governance, policy administration, risk management, and audit initiatives through data analysis and business intelligence solutions.
• Collaborate with cross-functional partners across Global Security, People & Culture, Marketing, Global Program, IT, and other organizational teams to deliver insights and solve business problems.
• Participate in enterprise data and AI initiatives, partnering with communities such as the AI Center of Excellence, BI Center of Excellence, and Data Opportunities Council.
• Provide technical support and guidance related to reporting tools, databases, data structures, and business intelligence solutions.
• Continuously identify innovative ways data and technology can improve organizational effectiveness and business outcomes.
• Serve as a trusted advisor who can influence stakeholders, build credibility, and drive adoption of data-informed practices across the organization.

• Bachelor's degree in a related field.
• 10+ years of relevant experience in business intelligence, analytics, data management, information systems, AI, machine learning, or a related discipline.
• Experience working with complex datasets, data repositories, reporting tools, and business intelligence solutions and AI-powered technologies.
• Strong understanding of data architecture, enterprise systems, and how data flows across an organization.
• Demonstrated experience evaluating and validating AI solutions, including assessing accuracy, hallucinations, bias, fairness, consistency, drift, and overall performance.
• Technical proficiency with APIs, Python,…