Data Analytics- AI Platforms

Job Summary

• This role is responsible for collecting, cleaning, preprocessing, and analyzing large datasets to derive meaningful insights and actionable recommendations. The role creates clear and effective visual representations of data using charts, graphs, and dashboards to communicate findings to technical and non-technical audiences. This role will also work on model analysis and provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. By transforming raw data into actionable insights, the role empowers teams across the organization to work more efficiently and effectively.
  
  

Responsibilities

Creates plans, data collection and analysis procedures and data insight visualizations for assigned projects.

Analyzing AI platform usage, token consumption, licensing utilization, and user adoption trends.

Developing forecasting models to predict AI credit consumption, budget requirements, and capacity needs.

Creating executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment.

Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements.

Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan.

Collaborates with SMEs to develop procedures for collecting, recording, analyzing, and communicating data for review and feedback.

Identifies and drives scalable solutions for building and automating reports, data pipelines and dashboards to monitor and report on operational performance metrics.

Collaborates with cross-functional teams to understand business requirements and develop data-driven solutions.

Prepares literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.

Provides guidance and mentoring to less- experienced staff members.

Solves difficult and complex problems with a fresh perspective, demonstrating good judgment in selecting creative solutions and managing projects independently.

Leads moderate to high complexity projects, delivering professionally written reports, and supports the realization of operational and strategic plans.

Education & Experience Recommended

• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 4-7 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with 3-5 years of work experience.
  
  

Preferred Certifications

• Programming Language/s Certification (SQL, Python, or similar)
  
  

Knowledge & Skills

• Agile Methodology
• Business Intelligence
• Computer Science
• Dashboard
• Data Analysis
• Data Management
• Data Modeling
• Data Quality
• Data Science
• Data Visualization
• Data Warehousing
• Extract Transform Load (ETL)
• Machine Learning
• Power BI
• Python (Programming Language)
• R (Programming Language)
• SAS (Software)
• SQL (Programming Language)
• Statistics
• Tableau (Business Intelligence Software)
  
  

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity
  
  

Impact & Scope

• Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.
  
  

Complexity

• Responds to moderately complex issues within established guidelines.
  
  

Disclaimer

• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.