Note: The job is a remote job and is open to candidates in USA. Cygnus Professionals Inc. is seeking a Data Analyst to build and operate dashboards that track AI model costs and consumption. The role analyzes usage and spending data, reports actuals against forecasts, and provides leadership with insights to guide AI investment and cost-optimization decisions.

Responsibilities

• Process and analyze large volumes of AI cost and usage data across teams and platforms
• Track actual spend against forecast, surface variances early, and report detailed actuals
• Design, build, and maintain leadership dashboards for AI model cost visibility
• Identify and support cost-optimization opportunities with data-backed recommendations
• Standardize metrics and definitions so cost reporting is consistent and trusted
• Partner with engineering and finance stakeholders to refine reporting requirements

Skills

• 5–10 years of Data Analytics/BI experience
• Strong hands-on SQL
• Expertise in building executive dashboards using Power BI, Amazon QuickSight, Tableau, or similar tools
• Experience in cost/spend analytics, financial reporting, forecasting, variance analysis, or KPI reporting
• Ideally presenting insights to senior leadership
• Strong skills in handling large datasets, dashboard automation, and independent collaboration with business and engineering teams are essential
• AI/LLM or Agentic AI exposure is important
• 5–10 years of relevant professional experience in data analysis, BI, or analytics engineering
• Proven, verifiable results delivering analytics and dashboard solutions that drove real business decisions — with concrete examples of measurable impact
• Hands-on experience with Amazon Quick Suite or comparable BI tooling
• Strong SQL skills and comfort working with large, messy datasets
• Experience building and maintaining program or executive dashboards
• Strong attention to detail and ability to explain variances crisply
• Experience building and/or leveraging AI agents (e.g., agentic workflows, LLM-based automation, AI-assisted engineering tools) to improve productivity and outcomes
• Strong sense of ownership — takes end-to-end responsibility for outcomes, not just tasks
• Self-motivated and proactive; able to operate independently with minimal supervision
• A good team player who collaborates effectively across teams, geographies, and time zones
• Proven track record of delivering measurable results in previous roles
• Prior domain experience in cloud FinOps
• Familiarity with AI/LLM cost models (tokens, inference, training)

Company Overview

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