Pay
Lower than most similar jobs
$63.1K–$118K against $94.4K–$145K, the middle half of what similar US postings state.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Reads like an Analyst role: dashboards and reporting.
Atlanta, US
Actively hiring, first seen by us 9 days agoGCP, Vertex AI, Data Modeling, ETL/ELT, Data Quality, Data Visualization, Prompt Engineering, RAG, Cloud Storage, Dataflow" The base compensation range for this role in the posted location is $63,140 to $118,144 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.Read the full posting
Analyze structured and unstructured data to find trends and actionable insights
Support evaluation of AI/ML and generative AI model outputs for accuracy, quality and bias
Design and build dashboards and reports tracking AI performance and business KPIs
Write and optimize SQL queries to extract and transform data
Assist in labeling, curating, and validating datasets for training AI models
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
Write and optimize SQL queries to extract and transform data from various sources
Assist in labeling, curating, and validating datasets used for training and fine-tuning AI models
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
Actively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Lower than most similar jobs
$63.1K–$118K against $94.4K–$145K, the middle half of what similar US postings state.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Day 9
Similar jobs usually come down between day 5 and day 43.
From 14,748 similar postings that came down. Coming down is not always a hire.
284 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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)
Background in data governance or data quality frameworks Exposure to Python-based ML libraries (scikit-learn) a plus Good to have
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
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
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
Good to have GCP, Vertex AI, Data Modeling, ETL/ELT, Data Quality, Data Visualization, Prompt Engineering, RAG, Cloud Storage, Dataflow" The base compensation range for this role in the posted location is $63,140 to $118,144
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
Complete your application on careers.capgemini.com. The employer’s form will show what is required.
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New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Atlanta GA
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
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 base compensation range for this role in the posted location is $63,140 to $118,144
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
GCP, Vertex AI, Data Modeling, ETL/ELT, Data Quality, Data Visualization, Prompt Engineering, RAG, Cloud Storage, Dataflow" The base compensation range for this role in the posted location is $63,140 to $118,144 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
Atlanta, US
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.