Overview
Support the administration, governance, adoption and continuous enhancement of enterprise self-service analytics platforms delivered as a service, working alongside senior platform engineers and platform stakeholders.
What you'll do
- Support the administration, enhancement, and day-to-day operations of enterprise analytics and visualization platforms delivered as a service.
- Collaborate with business stakeholders, product owners, and technical teams to understand requirements and support the delivery of platform capabilities and service requests.
- Contribute to platform initiatives and roadmap execution aligned with analytics, cloud, and enterprise data strategy objectives.
- Maintain and enhance operational dashboards and scorecards that provide visibility into platform adoption, utilization, service performance, capacity, costs, SLA compliance, and user experience.
- Support FinOps activities by monitoring platform consumption, tracking license utilization, identifying optimization opportunities, and assisting with cost transparency reporting.
- Assist in implementing and maintaining platform governance standards, operational procedures, and best practices.
- Support self-service analytics enablement while promoting compliance, security, governance, and responsible use of analytics platforms.
- Partner with Data Engineering, Security, Cloud Infrastructure, Data Governance, and Architecture teams to support integrated platform solutions.
- Monitor and report on platform KPIs, service health metrics, adoption trends, operational performance, and support effectiveness.
- Support automation initiatives related to provisioning, onboarding, access management, monitoring, and operational workflows.
- Contribute to maintaining platform reliability, performance, availability, scalability, and business continuity through established operational practices.
- Execute platform support activities in accordance with ITIL/ITSM processes, including incident, problem, change, release, and service management.
- Identify process improvement opportunities and contribute to initiatives that enhance platform efficiency and user experience.
- Create and maintain platform documentation, knowledge articles, operational procedures, service catalogs, and support materials.
- Contribute to training programs, enablement sessions, office hours, and community engagement activities that drive platform adoption and user success.
- Serve as a trusted support resource for platform-related requests and appropriately escalate complex issues to senior team members.
What you'll need
- 3–5 years of experience in Analytics, Business Intelligence, Data, Platform Operations, or Technology Support roles.
- 2–3 years of hands-on experience supporting enterprise analytics platforms such as Microsoft Power BI.
- Experience working with business users and supporting enterprise-scale analytics environments.
- Experience contributing to platform operations, governance activities, self-service analytics initiatives, or user enablement programs.
- Exposure to cloud platforms such as Microsoft Azure and/or AWS and modern data ecosystems.
- Foundational to intermediate expertise in Microsoft Power BI administration, governance, security, capacity management, and workspace administration.
- Hands-on experience supporting enterprise analytics platforms such as Power BI, Microsoft Fabric, Tableau, or similar cloud-based analytics technologies.
- Familiarity with Microsoft Fabric capabilities and modern self-service analytics concepts.
- Basic understanding of platform engineering principles and Platform-as-a-Service (PaaS) operating models.
- Experience supporting governance processes, workspace lifecycle management, platform administration, and operational controls.
- Familiarity with platform monitoring, telemetry, usage analytics, operational reporting, and observability practices.
- Experience building and maintaining operational dashboards, adoption metrics, KPI scorecards, and service insights reporting.
- Working knowledge of FinOps practices including consumption tracking, cost monitoring, license management, and optimization opportunities.
- Exposure to cloud technologies and services within Azure and/or AWS environments.
- Understanding of enterprise security concepts including role-based access control (RBAC), row-level security (RLS), compliance requirements, identity management, and data governance.
- Foundational knowledge of semantic models, analytics architecture, data warehousing, and modern data platform concepts.
- Exposure to automation and scripting using PowerShell, Python, REST APIs, or similar technologies.
- Familiarity with Power BI REST APIs, administration APIs, deployment pipelines, CI/CD concepts, and DevOps practices.
- Experience working within Agile delivery frameworks and product-centric operating models.
- Strong troubleshooting skills with the ability to investigate platform, performance, and user support issues.
- Experience supporting integrations between analytics platforms, cloud services, enterprise applications, and data platforms.
- Strong collaboration and relationship management skills, with the ability to work effectively across business and technology teams.
- Ability to understand business requirements and support the delivery of effective platform solutions and services.
- Effective verbal and written communication skills with the ability to interact with stakeholders at multiple organizational levels.
- Strong execution mindset with attention to detail and commitment to delivering quality outcomes.
- Excellent analytical thinking and problem-solving capabilities.
- Team-oriented approach with the ability to contribute positively within cross-functional environments.
- Customer-focused mindset with a commitment to providing high-quality service and support.
- Ability to manage competing priorities and adapt to changing business needs.
- Self-motivated with a strong desire to learn, grow, and continuously improve.
- Ability to work independently while leveraging guidance and mentorship from senior team members.
- Support organizational change management and user adoption initiatives.
- Commitment to governance, operational excellence, and continuous improvement.
Nice to have
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or an equivalent combination of education and experience.
- Microsoft Certified: Power BI Data Analyst Associate.
- Microsoft Certified: Fabric Analytics Engineer Associate.
- Microsoft Certified: Azure Fundamentals, Azure Data Fundamentals, or equivalent cloud certification.
- FinOps Certified Practitioner.
- AWS Cloud Practitioner or Azure Fundamentals Certification.
- ITIL Foundation Certification.
Details
Read the full description and apply on the company’s own careers page.