Data / BI & AI Consultant – CLA
Il y a 2 jours
Paris, Nouvelle-Aquitaine, France
Keoni
Temps plein
70 000 € - 100 000 € Contrat
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# Data / BI & AI Consultant – CLA
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* Data / BI & AI Consultant – CLA
* July 8, 2026
* 0 Comments
* By Roberte OkoyaMission Context: The mission consists of auditing existing data, repositories, flows, indicators, and decision-making tools to improve the quality of management and strengthen control of the data ecosystem. It also aims to clarify data governance, identify levers for improving reliability, and prepare for the relevant uses of artificial intelligence in a pragmatic, secure, and business-aligned manner. Main Tasks :
• Conduct an inventory of existing data sources, repositories, data feeds, processing methods, and BI tools.
• Analyze the quality, consistency, availability, and reliability of the data used for management.
• Map key indicators, their calculation rules, their business uses, and any discrepancies between tools or departments.
• Identify pain points, risks, duplicates, data breaks, and areas for improvement in the decision-making system.
• Propose recommendations to strengthen data governance, responsibilities, control processes, and management rules.
• Contribute to defining a BI and Data improvement roadmap, including priorities, dependencies, and expected gains.
• Identify relevant, realistic, and value-creating AI use cases, taking into account data maturity and business constraints.
• Support stakeholders in understanding the findings, impacts, and recommendations. Expected Deliverables :
• Mapping of data, repositories, flows, and decision-making tools.
• Quality and reliability assessment of data and indicators.
• Analysis of gaps between business needs, available indicators, and actual usage.
• Recommendations for data governance and process reliability.
• Prioritized roadmap of Data/BI improvement actions.
• Initial qualification of relevant AI use cases and implementation conditions.
• Concise presentation for business and IT stakeholders. Required
Skills:
• Excellent understanding of Data, BI, decision-making, and data governance issues.
• Ability to audit data architectures, flows, repositories, and reporting chains.
• Proficiency in data quality concepts, data dictionaries, business rules, lineage, and performance indicators.
• Experience with BI and data visualization tools such as Power BI, Tableau, Qlik, or equivalents.
• Strong knowledge of databases, SQL queries, and data warehouse or datamart environments.
• Ability to formalize diagnoses, recommendations, and operational roadmaps.
• Sensitivity to AI applications, data valorization, and the prerequisites for implementing artificial intelligence solutions.
• Excellent analytical, synthesis, communication, and presentation skills for business and technical stakeholders. Desired Profile: The ideal candidate is a senior Data/BI consultant with significant experience in auditing decision-making systems, ensuring data reliability, and supporting business or IT departments on management issues. They must be able to work independently, structure an analytical approach, conduct interviews, challenge existing practices, and formulate concrete, prioritized, and actionable recommendations. A dual business and technical background is expected, with a strong ability to bridge management needs, information system constraints, data governance, and the opportunities offered by AI. Personal Qualities :
• Rigor, analytical skills, and attention to detail.
• Ability to take a step back and structure complex observations.
• Excellent interpersonal skills with business, technical, and decision-making stakeholders.
• Strong communication skills, including clear explanations and summarization.
• Results-oriented and able to propose pragmatic solutions.
Please send your CV, cover letter, and copies of your diplomas to contact@keoni.fr
* Home
* Data / BI & AI Consultant – CLA
* July 8, 2026
* 0 Comments
* By Roberte OkoyaMission Context: The mission consists of auditing existing data, repositories, flows, indicators, and decision-making tools to improve the quality of management and strengthen control of the data ecosystem. It also aims to clarify data governance, identify levers for improving reliability, and prepare for the relevant uses of artificial intelligence in a pragmatic, secure, and business-aligned manner. Main Tasks :
• Conduct an inventory of existing data sources, repositories, data feeds, processing methods, and BI tools.
• Analyze the quality, consistency, availability, and reliability of the data used for management.
• Map key indicators, their calculation rules, their business uses, and any discrepancies between tools or departments.
• Identify pain points, risks, duplicates, data breaks, and areas for improvement in the decision-making system.
• Propose recommendations to strengthen data governance, responsibilities, control processes, and management rules.
• Contribute to defining a BI and Data improvement roadmap, including priorities, dependencies, and expected gains.
• Identify relevant, realistic, and value-creating AI use cases, taking into account data maturity and business constraints.
• Support stakeholders in understanding the findings, impacts, and recommendations. Expected Deliverables :
• Mapping of data, repositories, flows, and decision-making tools.
• Quality and reliability assessment of data and indicators.
• Analysis of gaps between business needs, available indicators, and actual usage.
• Recommendations for data governance and process reliability.
• Prioritized roadmap of Data/BI improvement actions.
• Initial qualification of relevant AI use cases and implementation conditions.
• Concise presentation for business and IT stakeholders. Required
Skills:
• Excellent understanding of Data, BI, decision-making, and data governance issues.
• Ability to audit data architectures, flows, repositories, and reporting chains.
• Proficiency in data quality concepts, data dictionaries, business rules, lineage, and performance indicators.
• Experience with BI and data visualization tools such as Power BI, Tableau, Qlik, or equivalents.
• Strong knowledge of databases, SQL queries, and data warehouse or datamart environments.
• Ability to formalize diagnoses, recommendations, and operational roadmaps.
• Sensitivity to AI applications, data valorization, and the prerequisites for implementing artificial intelligence solutions.
• Excellent analytical, synthesis, communication, and presentation skills for business and technical stakeholders. Desired Profile: The ideal candidate is a senior Data/BI consultant with significant experience in auditing decision-making systems, ensuring data reliability, and supporting business or IT departments on management issues. They must be able to work independently, structure an analytical approach, conduct interviews, challenge existing practices, and formulate concrete, prioritized, and actionable recommendations. A dual business and technical background is expected, with a strong ability to bridge management needs, information system constraints, data governance, and the opportunities offered by AI. Personal Qualities :
• Rigor, analytical skills, and attention to detail.
• Ability to take a step back and structure complex observations.
• Excellent interpersonal skills with business, technical, and decision-making stakeholders.
• Strong communication skills, including clear explanations and summarization.
• Results-oriented and able to propose pragmatic solutions.
Please send your CV, cover letter, and copies of your diplomas to contact@keoni.fr