Data Analyst - AI & Bedrock Specialization

Tekskills; Kolkata District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Tekskills in Kolkata, India, is seeking a Lead Data Analyst specialized in AI & Bedrock to drive advanced analytics initiatives. With 5+ years of experience, you will design, develop, and implement sophisticated analytical models, provide strategic insights to stakeholders, and mentor a team of data professionals.

You will leverage generative AI and Bedrock, build dashboards, enforce data governance, collaborate with product and engineering teams, and stay ahead of AI trends to solve complex

Qualifications

• Degree in CS/DS/Statistics or related field.
• 5+ years data analytics experience with BI.
• Hands-on AI/ML concepts and LLMs focus.
• Proficient with Amazon Bedrock, foundation models, prompt engineering.
• Advanced SQL for data extraction across databases (relational, NoSQL).
• Python (Pandas) or R for analysis and modeling.
• Strong visualization skills with dashboards (Tableau/Power BI/Qlik Sense).
• Experience with AWS data services (S3, Redshift, Glue, Athena).
• Excellent communication and stakeholder engagement.

Responsibilities

• End-to-end data analysis projects from problem definition to insights.
• Apply advanced statistics, ML, and AI-driven approaches to large datasets.
• Develop dashboards and reports for executive and functional teams.
• Implement Bedrock-based analytics solutions and prompt engineering.
• Design prompts for LLMs to extract insights from data.
• Collaborate with product, engineering, and business units.
• Mentor data professionals and lead analytics initiatives.
• Stay updated on AI and cloud-based services.

Skills

SQL

Python (Pandas) / R

Data visualization

AI/ML concepts

Bedrock familiarity

AWS cloud

Education

Bachelor's or Master's in CS/DS/Statistics

Quantitative field degree

Tools

Amazon Bedrock

Tableau

Power BI

Qlik Sense

AWS Redshift

S3 / Athena

Job description

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:
  • 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 teams.
• AI/ML & 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 detection.
• Data 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 teams.
• Technical 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 solutions.
• Research & 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 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, NumP… 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.

Additional Information

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