Data Analyst

About Client :

Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France.

Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations.

The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world. They provide a variety of services, including consulting, technology, professional, and outsourcing Description :

FAS Data Analyst AI & Bedrock Us :

We are seeking a highly experienced and visionary Data Analyst with a deep understanding of artificial intelligence (AI) principles and hands-on expertise with cutting-edge tools like Amazon Bedrock.

This role is pivotal in transforming complex datasets into actionable insights, enabling data-driven innovation across our Summary :

The Lead Data Analyst, AI & Bedrock Specialization, will be responsible for spearheading advanced data analytics initiatives, leveraging AI and generative AI capabilities, particularly with Amazon Bedrock.

With 5+ years of experience, you will lead the design, development, and implementation of sophisticated analytical models, provide strategic insights to stakeholders, and mentor a team of data professionals.

This role requires a blend of strong technical skills, business acumen, and a passion for pushing the boundaries of data analysis with Responsibilities : Data Analysis & Insight Generation :

- End-to-end data analysis projects, from defining business problems to delivering actionable insights that influence strategic decisions.

- Utilize advanced statistical methods, machine learning techniques, and AI-driven approaches to uncover complex patterns and trends in large, diverse datasets.

- Develop and maintain comprehensive dashboards and reports, translating complex data into clear, compelling visualizations and narratives for executive and functional & Generative AI Implementation (Bedrock Focus) :

- Implement data analytical solutions leveraging Amazon Bedrock, including selecting appropriate foundation models (e.g., Amazon Titan, Anthropic Claude) for specific use cases (text generation, summarization, complex data analysis).

- Design and optimize prompts for Large Language Models (LLMs) to extract meaningful insights from unstructured and semi-structured data within Bedrock.

- Explore and integrate other AI/ML services (e.g., Amazon SageMaker, Amazon Q) to enhance data processing, analysis, and automation workflows.

- Contribute to the development of AI-powered agents and intelligent systems for automated data analysis and anomaly Governance & Quality Assurance :

- Ensure the accuracy, integrity, and reliability of data used for analysis.

- Develop and implement robust data cleaning, validation, and transformation processes.

- Establish best practices for data management, security, and governance in collaboration with data engineering Leadership & Mentorship :

- Evaluate and recommend new data tools, technologies, and methodologies to enhance analytical capabilities.

- Collaborate with cross-functional teams, including product, engineering, and business units, to understand requirements and deliver data-driven & Innovation :

- Stay abreast of the latest advancements in AI, machine learning, and data analytics trends, particularly concerning generative AI and cloud-based AI services.

- Proactively identify opportunities to apply emerging technologies to solve complex business Skills & Qualifications :

- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.

- 5+ years of progressive experience as a Data Analyst, Business Intelligence Analyst, or similar role, with a strong portfolio of successful data-driven projects.

- Proven hands-on experience with AI/ML concepts and tools, with a specific focus on Generative AI and Large Language Models (LLMs).

- Demonstrable experience with Amazon Bedrock is essential, including knowledge of its foundation models, prompt engineering, and ability to build AI-powered applications.

- Expert-level proficiency in SQL for data extraction and manipulation from various databases (relational, NoSQL).

- Advanced proficiency in Python (Pandas, NumPy, Scikit-learn, etc.) or R for data analysis, statistical modeling, and scripting.

- Strong experience with data visualization tools such as Tableau, Power BI, Qlik Sense, or similar, with a focus on creating insightful and interactive dashboards.

- Experience with cloud platforms (AWS preferred) and related data services (e.g., S3, Redshift, Glue, Athena).

- Excellent analytical, problem-solving, and critical thinking skills.

- Strong communication and presentation skills, with the ability to convey complex technical findings to non-technical stakeholders.

- Ability to work independently and collaboratively in a fast-paced, evolving Qualifications :

- Experience with other generative AI frameworks or platforms (e.g., OpenAI, Google Cloud AI).

- Familiarity with data warehousing concepts and ETL/ELT processes.

- Knowledge of big data technologies (e.g., Spark, Hadoop).

- Experience with MLOps practices for deploying and managing AI/ML models.

- Learn about building AI agents with Bedrock and Knowledge Bases to understand how these tools revolutionize data analysis and customer service.

(ref:hirist.tech)

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