Overview:
The Senior Operations Analyst, Business Intelligence is a subject-matter expert responsible for the stability, reliability and continuous improvement of enterprise BI products across company BI platforms. The role leads complex incident resolution, drives root-cause analysis and proactively improves BI Operations processes, standards and BI product and platform health. This role acts as a technical authority within BI Operations and a key escalation point between end users, analytics teams, data engineering, and platform teams.
Responsibilities:
Technical support and Issue resolution
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Act as next-level escalation point for complex BI incidents across Power BI and SAP Business Objects.
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Owns end-to-end resolution of critical production incidents, including stakeholder engagement and communication.
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Leads in-depth root-cause analysis of recurring data refresh, performance and access-related issues.
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Translate business questions into actionable support tasks, enhancements or incident resolutions.
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Ensure close and efficient collaboration between the BI Operations and Enterprise Data Operations teams to root cause and resolve issues.
Platform and Report maintenance
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Proactively monitor BI platforms and BI product health, identifying stability, performance and adoption risks.
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Drive continuous improvement projects to prevent recurring incidents and performance issues.
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Collaborate with Enterprise Data Operations and Platform Teams on controlled rollout of platform changes, upgrades and new BI capabilities.
Documentation and Process Improvement
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Lead processes to review and approve Power BI reports and semantic models prior to deployment to production.
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Ensure deployment of Power BI reports and semantic models through fixed schedules and release plans, while keeping close communication with key stakeholders on deployments.
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Define and enforce BI Operations standards, best practices and processes.
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Drive continuous improvement of BI Operations processes, tooling and documentation.
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Contribute to knowledge base documentation and ensure consistent documentation practices across the team.
Collaboration
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Lead communication efforts regarding disruptions in service or service outages of BI products or BI platforms to key stakeholders or broader audiences.
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Collaborate closely with AI, BI Analyst, Analytics Engineering, Data Engineering, Enterprise Data Operations and Platform teams to resolve systemic issues and outages.
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Communicate with cross functional stakeholders at an operational level regarding policies, standards, practices, and procedures.
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Act as mentor to other BI Operations team members sharing best practice, providing support and guidance as relevant.
Qualifications:
- Bachelor's degree in Business, Computer Science, Information Systems, or a related field is required; advanced degree (Master's or PhD) is preferred.
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Minimum of five years relevant experience in BI Operations, BI development or analytics roles; ideally in a reporting and/or analytics role.
Extensive experience supporting enterprise Power BI and/or SAP Business Objects (or equivalent) environments in production.
Experience with AI-assisted analytics or emerging BI technologies, preferred.
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Expert analytical and root-cause analysis skills, with the ability to remain calm and decisive in high-pressure situations with production issue.
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Expert-level troubleshooting skills across data models, data pipelines, performance and security.
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Strong SQL skills and advanced working knowledge of Power BI Desktop and DAX.
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Advanced knowledge of the BI technical area, typically obtained through advanced technical education combined with experience.
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Strong ownership mindset and accountability for platform stability and service quality.
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Experience with production operations models, incident management and Service Level Agreements.
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Excellent stakeholder communication and expectation management, with a proven ability to communicate clearly during high-impact incidents with both technical and non-technical audiences.
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Strong mentoring and knowledge sharing capabilities.
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Ability to influence without formal authority across cross-functional teams.
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Deep attention to detail and commitment to quality.
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Practical knowledge of project management principles.
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Fluency in Artificial Intelligence (AI) and data concepts, including the ability to critically evaluate AI outputs, improve workflows using approved tools, identify and mitigate bias or inaccuracies, and communicate AI-driven insights clearly and responsibly to peers and managers.
