Data Analyst

Job Description: FAS - Data Analyst - AI & Bedrock Specialization

About 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 organization.

Role 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 AI.

Key Responsibilities:

• Strategic Data Analysis & Insight Generation:

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

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

o Develop and maintain comprehensive dashboards and reports, translating complex data into clear, compelling visualizations and narratives for executive and functional teams.

• AI/ML & Generative AI Implementation (Bedrock Focus):

o 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).

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

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

o Contribute to the development of AI-powered agents and intelligent systems for automated data analysis and anomaly detection.

• Data Governance & Quality Assurance:

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

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

o Establish best practices for data management, security, and governance in collaboration with data engineering teams.

• Technical Leadership & Mentorship:

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

o Collaborate with cross-functional teams, including product, engineering, and business units, to understand requirements and deliver data-driven solutions.

• Research & Innovation:

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

o Proactively identify opportunities to apply emerging technologies to solve complex business challenges.

Required 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 environment.

Preferred 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.