Data Consultant - AI

Data Consultant - JD

Location - Chennai/Bangalore/Hyderabad/Pune

We are seeking a Data Analyst / Data Consultant who can translate complex business problems into data‑driven analytical solutions. This role now incorporates next‑generation skills in Generative AI, RAG‑based retrieval systems, and AI Agentification, alongside strong fundamentals in data analysis, BI, and data management. The ideal candidate blends analytical rigor, technical expertise, business acumen, and a forward‑looking approach to modern AI‑driven analytics.

What You Will Do

1. Business & Analytical Problem Solving

• Engage with business stakeholders to identify, articulate, and prioritize data and analytics challenges.

• Translate business problems into analytical solutions using BI, data management, statistical methods, and GenAI‑enabled techniques.

• Structure ambiguous business questions into well‑defined hypotheses and solution frameworks.

2. Data Analytics & BI Delivery

• Extract, integrate, and analyze large datasets using SQL, Python, and visualization tools (Power BI, Tableau, Looker etc.).

• Develop high‑quality dashboards, KPI frameworks, and analytical models that support decision‑making.

• Conduct quantitative analyses, interpret patterns, and deliver actionable insights.

3. Data Engineering & Data Management Collaboration

• Collaborate with Data/BI/Analytics Architects to support data modelling and data transformation across structured and unstructured datasets.

• Work with SMEs to translate reporting and analytics needs into data model enhancements, domain definitions, and metric standardization.

• Contribute to initiatives involving data governance, data quality, lineage, and MDM programs.

4. GenAI, RAG & AI Agentification

• Apply Generative AI models to enhance analytics workflows and accelerate insight generation.

• Build or support RAG‑based solutions that combine LLM reasoning with enterprise knowledge retrieval to improve accuracy and trustworthiness.

• Work with engineering teams to design and configure AI Agents that automate data exploration, report generation, anomaly detection, and business workflows.

• Evaluate opportunities to embed GenAI into existing dashboards, data pipelines, and decision‑support systems.

• Define guardrails for responsible AI usage, including bias detection, data security, and model governance.

5. Cross‑Functional Leadership & Delivery Excellence

• Partner with global, cross‑functional teams to deliver analytics use cases end‑to‑end.

• Drive high‑performance outcomes by coordinating with architects, data engineers, and visualization developers.

• Contribute to Agile ceremonies, requirement elaboration, backlog refinement, and sprint planning.

Preferred Qualifications & Skills

Technical Skills

• Master’s degree (in Management / Data Science / Analytics or related fields) preferred. Bachelor’s in Engineering required.

• 5–10 years of experience in data analytics or BI roles.

• Strong experience in:

  • SQL, data analysis, dashboarding, KPI frameworks

  • Dimensional modelling, ETL concepts

  • Cloud platforms (Azure, AWS, GCP)

  • Data governance, data quality, data lake/Lakehouse environments

• Familiarity with programming languages: Python increasingly preferred for GenAI.

• Experience with ETL & BI tools.

GenAI/RAG/Agentification Skills

• Understanding of LLMs, prompt engineering, embeddings, and vector databases.

• Exposure to RAG architectures, document chunking, retrieval pipelines, and evaluation frameworks.

• Experience integrating GenAI into analytics workflows (e.g., generating insights, documentation, anomaly summaries).

• Familiarity with AI agent frameworks.

• Knowledge of responsible AI, access control, and enterprise AI governance practices.

Business & Soft Skills

• Ability to explain complex analytical results in simple business language.

• Strong stakeholder engagement and requirements‑gathering skills.

• Experience working in global, virtual, cross‑functional teams.

• Agile methodology experience (Scrum/Kanban).