Data & Reporting Analyst

The Panther Group is seeking an experienced Data & Reporting Analyst to support an Information Technology Services Project Management Office (PMO) in Boston. This role will own PMO data governance, data quality, reporting, dashboard development, and system integration across a portfolio of programs and projects.

The ideal candidate is equally comfortable analyzing data at the record level, building executive dashboards, troubleshooting data-quality issues, and partnering with Project and Portfolio Managers to improve data accuracy and reporting. This is a highly collaborative role with visibility to senior and executive leadership. What You’ll Do Data Governance & Quality

• Establish and maintain PMO data standards, definitions, taxonomies, and quality rules.
• Monitor project and portfolio data for errors, duplicate records, missing information, anomalies, and inconsistent classifications.
• Perform root-cause analysis and work with Project Managers to correct and remediate data issues.
• Validate data for accuracy, completeness, consistency, and reporting readiness.

Reporting & Dashboard Development

• Build and maintain recurring and ad hoc reports and dashboards using Power BI, ServiceNow, and Smartsheet.
• Develop consolidated reporting across systems including ServiceNow, Power BI, Smartsheet, and Jira.
• Build or maintain connectors, integrations, and APIs to automate data flow and reporting.
• Automate recurring reporting processes and continuously improve reporting templates, visualizations, and data models.

Executive Reporting & Data Storytelling

• Analyze complex portfolio and project data to identify trends, risks, dependencies, and outcomes.
• Translate findings into clear, actionable insights and recommendations for PMO and ITS leadership.
• Prepare executive-level scorecards, dashboards, presentations, and briefing materials.
• Review reports and dashboards for accuracy, completeness, consistency, and presentation quality before distribution.

Stakeholder Collaboration & Enablement

• Serve as a key resource for Portfolio Managers, Project Managers, PMO leadership, and technical teams on data and reporting matters.
• Gather reporting requirements and clarify data definitions and standards.
• Train and support team members on data-entry practices and data-quality expectations.
• Influence data cleanup and process improvements across teams without direct authority.

Continuous Improvement

• Identify opportunities to improve reporting efficiency, data quality, and governance.
• Evaluate automation, emerging technologies, and AI-enabled tools that can improve analytics and reporting.
• Stay current on data governance, PMO analytics, and reporting best practices.

• 5+ years of progressive experience in data management, reporting, analytics, and/or data governance.
• Experience supporting a PMO, IT organization, or complex matrixed environment.
• Strong experience with ServiceNow, including PPM, Power BI, Smartsheet, and Jira.
• Experience with Microsoft Power Platform, particularly Power Query, Power Automate, and Power Apps.
• Experience building connectors, integrations, or APIs between enterprise systems.
• Strong understanding of data governance, data quality, data profiling, data cleansing, metadata, and data standards.
• Advanced Excel and PowerPoint skills.
• Strong analytical and problem-solving abilities, including root-cause analysis.
• Experience creating executive-level reporting and presentations.
• Excellent written and verbal communication skills.
• Ability to manage multiple priorities independently in a fast-paced environment.
• Strong relationship-building and stakeholder-management skills., * Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Business Administration, or a related field required.
• Master’s degree preferred.
• Certifications in data management, Power BI/Power Platform, business analysis, Agile/PMP, AI, or Six Sigma are a plus.

Preferred Experience

• Higher education or another large, complex institutional environment.
• Experience working directly with Project and Portfolio Managers.
• Experience using AI tools to support data analysis, reporting, automation, quality assurance, or governance.