AI Analytics & FinOps Dashboard Engineer

Vizient

Irving (TX)

Hybride

USD 77 000 - 135 000

Plein temps

Il y a 9 jours

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Résumé du poste

Vizient seeks a data analytics professional to support measurement, reporting, and operational intelligence for its enterprise AI program. You will transform AI platform usage, adoption, cost, performance, and business value data into insights for business and technology leaders.

The role combines data analytics, BI, dashboard development, AI operations, and FinOps reporting to support governance and capacity planning.

Qualifications

Bachelor's degree in Data Analytics, Information Systems, Computer Science, Statistics, Mathematics, Business Intelligence, or a related field required.
2 or more years of experience in analytics, business intelligence, reporting, data analysis, or a related function required.
Experience developing Power BI dashboards and data visualizations for business or operational reporting required.
Experience with data modeling, DAX, Power Query, and dashboard development required.
Strong SQL skills for data extraction, transformation, analysis, and reporting required.
Experience analyzing large datasets and translating findings into actionable business and operational insights required.
Experience developing operational, financial, performance, or executive reporting required.
Strong communication skills, including the ability to present analytical findings and recommendations to technical and business audiences required. Must be willing to work in the office three days a week.

Responsabilités

Develop and maintain Power BI dashboards and reporting that measure AI adoption, utilization, performance, cost, capacity, and business value.
Analyze AI operational data and key performance indicators, translating technical metrics into actionable insights and recommendations.
Deliver executive and operational reporting that supports AI governance, optimization, investment decisions, and strategic planning.
Monitor and analyze AI consumption, cost, utilization, capacity, and token-usage metrics across enterprise AI platforms.
Support AI forecasting, budgeting, FinOps reporting, and capacity-planning activities.
Analyze adoption patterns, usage trends, operational performance, and platform effectiveness across AI technologies.
Develop trend analyses and forecasts to identify opportunities to improve adoption, utilization, and overall platform value.
Gather, transform, and analyze data from enterprise systems and AI platforms to support reporting and business decision-making.
Perform exploratory analysis to identify trends, anomalies, risks, and opportunities for improvement.
Ensure the accuracy, consistency, completeness, and quality of data used in dashboards, reports, and operational metrics.
Partner with business, technology, finance, governance, and AI operations stakeholders to define reporting requirements and communicate findings.
Continuously improve reporting processes, analytical methodologies, dashboard usability, and the visibility of AI operational outcomes.