Data Analyst - AI Model Cost Analytics

Hi,

Role : Data Analyst – AI Model Cost Analytics

Location: Mountain View, CA or San Diego, CA

Contract.

Note: Please focus on candidates with 5–10 years of Data Analytics/BI experience, strong hands-on SQL, and experience building Power BI, QuickSight, Tableau or similar executive dashboards. Look for people who have worked on cost/spend, financial reporting, forecasting, variance analysis or KPI reporting, ideally presenting insights to senior leadership. Candidates should be comfortable with large datasets, dashboard automation, and working independently with business and engineering teams. AI/LLM or agentic AI exposure is important, while FinOps/cloud cost analytics and AI model cost experience are strong pluses but not mandatory.

Job Description

Data Analyst – AI Model Cost Analytics About the Role We are looking for a Data Analyst to build and operate the dashboards that track AI model costs and consumption across the organization. You will turn large volumes of usage data into clear, decision-ready insight that keeps AI spend aligned with forecast. This is a high-visibility role: your dashboards and analyses will be used directly by leadership to steer AI investment decisions.

Key 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.

Tech Stack

• Amazon Quick Suite for BI and dashboarding
• SQL for large-scale data analysis
• Dev360/program dashboard frameworks
• Data visualization and executive reporting

Required Skills & Experience •

• 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.

Preferred Qualifications

• Prior domain experience in cloud FinOps.
• Familiarity with AI/LLM cost models (tokens, inference, training).

What We Look For

• 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.

Nagendar Mula

Talent Acquisition Lead

33 Wood Ave, Suite 419, Iselin, NJ 08830, USA

4300 Punjab Way, Suite 280, Frisco, TX 75033, USA