Sr Business / Data Analyst, IAM

The Sr. Business/Data Analyst will play a critical role in supporting Identity and Access Management (IAM) operations by using data, reporting, and analysis to drive operational insight, governance visibility, vulnerability remediation, and informed decision-making. This role will assume responsibility for the ongoing support and evolution of existing Power BI (PBI) sites and serve as a key liaison between technical teams, compliance stakeholders, leadership, and business users. The ideal candidate is a self-starter who can operate with minimal supervision, think strategically, identify root cause rather than only report symptoms, and translate analysis into practical recommendations and executive-ready deliverables. This position blends data analytics, operational support, process improvement, stakeholder engagement, and supports clear executive communication to ensure data-driven decisions support security, compliance, and operational performance. Key Responsibilities PowerBI Support & Development Assume full operational support of existing Power BI sites and reports, following the agreed transition plan. Maintain and enhance Power BI dashboards to ensure alignment with evolving IAM, IGA, security, and business needs. Gather, document, and validate new requirements for reporting or analytics enhancements from IAM, IGA, compliance, and leadership stakeholders. Translate business requirements into functional specifications for Power BI dashboards, recurring reports, or ad hoc data solutions. Ensure data integrity, accuracy, consistency, and reliability across all Power BI outputs. Partner with data owners and technical teams to refine source logic, resolve data quality issues, and improve reporting usability. Data Analysis, Reporting & Executive Communication Analyze structured and unstructured data to uncover trends, identify operational gaps, assess risks, and provide actionable recommendations. Perform root cause analysis when reporting issues, compliance gaps, vulnerability trends, or operational breakdowns are identified. Build clear, accurate, and visually effective PowerPoint presentations for executive-level audiences, including leadership summaries, key insights, risks, trends, and recommended actions. Create dashboards, visualizations, reports, and written summaries that move beyond data collection and explain what the data means, why it matters, and what actions should be taken. Conduct ad hoc data pulls and analysis to support operational reviews, compliance discussions, leadership briefings, and strategic initiatives. Synthesize complex technical or operational information into concise messages appropriate for both technical and non-technical stakeholders. IAM, IGA Compliance & Vulnerability Coordination Own and manage the tracking and coordination of vulnerability remediation tasks across IAM systems. Support IGA-related compliance activities, ensuring timely data reporting and alignment with internal audit and governance frameworks. Partner with remediation owners, application teams, infrastructure teams, and compliance officers to ensure task closure, accurate status reporting, and appropriate escalation of blockers. Maintain accurate trackers, status updates, and evidence artifacts required to support governance, audit readiness, and operational transparency. Identify recurring issues, process bottlenecks, and ownership gaps; recommend practical solutions to improve remediation throughput and reporting accuracy. Stakeholder Engagement, Documentation & Process Improvement Serve as a key point of contact for data, reporting, compliance status, and operational analysis questions across IAM, compliance, and leadership teams. Document business and technical requirements, data definitions, reporting logic, process steps, assumptions, and decision points. Facilitate recurring meetings to review open compliance tasks, report delivery timelines, backlog prioritization, risks, and follow-up actions. Operate as a proactive problem solver who clarifies ambiguity, identifies dependencies, raises risks early, and brings recommended options to management. Contribute to continuous improvement by identifying manual processes, recurring defects, data gaps, or workflow inefficiencies that can be improved through reporting, automation, documentation, or process redesign.