AI Data Analyst - Agentic AI

Capgemini; Charlotte (NC); Hybrid; USD 5,081,000 - 7,961,000; Full time

Job summary

Capgemini is seeking an experienced AI Data Analyst to analyze data, generate insights, and support AI/ML and generative AI solutions. You will collaborate with data scientists and engineers to define metrics and build dashboards that track AI performance and business KPIs.

You will analyze structured and unstructured data, perform SQL-based extractions, and apply Python or R for analytics while communicating insights to stakeholders across the organization.

Qualifications

• 5+ years of experience in data analysis, business intelligence, or related analytics roles.
• Strong proficiency in SQL and data querying/transformation.
• Experience with Python (pandas, NumPy) or R for data analysis.
• Experience with BI/visualization tools (Tableau, Power BI, Looker, or similar).
• Understanding of AI/ML concepts and exposure to evaluating model outputs or working alongside ML teams.
• Strong statistical analysis skills.
• Excellent communication skills — able to translate data insights for both technical and non-technical stakeholders.
• Experience working with large datasets in cloud data warehouses (BigQuery, Snowflake, Redshift).

Responsibilities

• Analyze structured and unstructured data to identify trends, patterns, and actionable insights.
• Support evaluation of AI/ML and generative AI model outputs (accuracy, quality, bias, relevance).
• Design and build dashboards and reports to track AI system performance and business KPIs.
• Partner with data scientists and AI engineers to define metrics for model evaluation and monitoring.
• Write and optimize SQL queries to extract and transform data from various sources.
• Perform exploratory data analysis (EDA) to support model development and feature identification.
• Assist in labeling, curating, and validating datasets used for training and fine-tuning AI models.
• Translate business requirements into analytical frameworks and present findings to stakeholders.
• Identify data quality issues and work with engineering teams to resolve them.
• Stay current on AI/ML trends relevant to data analysis and reporting.

Skills

SQL

Python

R

BI tools

AI concepts

Tools

Tableau

Power BI

Looker

Job description

We are seeking an experienced AI Data Analyst to analyze data, generate insights, and support the development and evaluation of AI/ML and generative AI solutions. This role bridges traditional data analysis with emerging AI capabilities — helping teams make data-driven decisions and assess the performance and impact of AI systems.

Key Responsibilities:

Analyze structured and unstructured data to identify trends, patterns, and actionable insights

Support evaluation of AI/ML and generative AI model outputs (accuracy, quality, bias, relevance)

Design and build dashboards and reports to track AI system performance and business KPIs

Partner with data scientists and AI engineers to define metrics for model evaluation and monitoring

Write and optimize SQL queries to extract and transform data from various sources

Perform exploratory data analysis (EDA) to support model development and feature identification

Assist in labeling, curating, and validating datasets used for training and fine-tuning AI models

Translate business requirements into analytical frameworks and present findings to stakeholders

Identify data quality issues and work with engineering teams to resolve them

Stay current on AI/ML trends relevant to data analysis and reporting

Required Qualifications:

5+ years of experience in data analysis, business intelligence, or related analytics roles

Strong proficiency in SQL and data querying/transformation

Experience with Python (pandas, NumPy) or R for data analysis

Experience with BI/visualization tools (Tableau, Power BI, Looker, or similar)

Understanding of AI/ML concepts and exposure to evaluating model outputs or working alongside ML teams

Strong statistical analysis skills

Excellent communication skills — able to translate data insights for both technical and non-technical stakeholders

Experience working with large datasets in cloud data warehouses (BigQuery, Snowflake, Redshift)

Preferred Qualifications:

Experience evaluating generative AI/LLM outputs (prompt quality, hallucination detection, response scoring)

Familiarity with GCP data tools (BigQuery, Looker, Vertex AI)

Experience with A/B testing and experimentation frameworks

Background in data governance or data quality frameworks

Exposure to Python-based ML libraries (scikit-learn) a plus

Good to have:

GCP, Vertex AI, Data Modeling, ETL/ELT, Data Quality, Data Visualization, Prompt Engineering, RAG, Cloud Storage, Dataflow

The pay range that the employer in good faith reasonably expects to pay for this position is $36.98/hour - $57.79/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.