Back
Tier-1 brand, metro role, mid-level generalist title, and broad skillset create high competition.
Core data analytics skills transfer across industries, but AI-platform focus adds moderate domain specificity.
Explicit 4–7 years requirement plus multiple required analytics tools and skills increases shortlisting rigor.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end data analytics for AI platforms including data collection, preprocessing, analysis, and visualization to provide actionable insights.
Develop and maintain forecasting models and executive dashboards measuring AI usage, token consumption, licensing, adoption trends, and ROI.
Lead moderate to high complexity projects delivering reports and data-driven recommendations on predictive analytics, cost optimization, and operational performance.
Bachelor's or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or related discipline or equivalent experience.
4-7 years work experience in data analytics, statistical analysis, or related field; or advanced degree with 3-5 years experience.
Proficiency in programming languages such as SQL, Python and experience with BI tools like Power BI or Tableau.
Work Experience Required: Typically 4-7 years in data analytics or related field.
Experienced in analyzing AI platform usage metrics, token consumption, licensing utilization, and adoption trends in enterprise environments.
Skilled in building forecasting models, dashboards (KPIs), and applying machine learning and statistical techniques for anomaly detection and spend forecasting.
Able to lead cross-functional collaborations, mentor junior staff, and independently handle moderately complex projects with impactful data-driven solutions.