BI/Data Analytics with AI (Pune)

BI/Data Analytics with AI (Pune)

24 Sep
|
Crisil
|
Pune

24 Sep

Crisil

Pune

Position: BI/Data Analytics with AI

Experience: 7+ Years (Preferred: 7–10 Years)

Shift Requirement: Support for the U.S. time zone, with a couple of hours overlapping in the EST morning

Business Unit: Content Innovation & Visualization Team

Location: Pune

Meeting Objective To discuss and finalize the hiring requirements, key responsibilities, technical expectations, and sourcing strategy for the BI/Data Analytics with AI role supporting the Content Innovation and Visualization team.

Key Discussion Points

1. Role Overview

- The role will support the organization's vision of building a storytelling and insights-driven culture through advanced analytics, business intelligence, and AI-driven solutions.
- The candidate will be responsible for bridging traditional BI capabilities with emerging AI technologies.
- Strong focus on creating intelligent workflows, automation frameworks, and data visualization solutions.

2. Experience Requirements

- Minimum 7+ years of overall experience in Analytics, Business Intelligence, Data Engineering, Automation, or AI-related domains.
- Preferred experience between 7–10 years .
- Prior experience in Financial Services, Risk Management, Research, Ratings, or regulated environments is highly desirable. (Preferend but not mandatory

3. Mandatory Technical Skills Business Intelligence & Reporting

- Power BI (Mid to Expert Level)
- MicroStrategy (Mid to Expert Level)
- Power BI Report Builder / Paginated Reports
- Advanced Dashboard Development
- Data Modeling & Data Visualization
- Power Automate

Note : Not mandatory to have both Power BI and MicroStrategy – Power BI is must have / MicroStrategy Preferred) Artificial Intelligence & Automation

- Microsoft Copilot(Medium Level)
- Prompt Engineering(Must have, will focus on this area more)
- Design, test, and optimize prompts, templates, and AI workflows to deliver accurate, consistent, and scalable GenAI solutions across research, reporting, and automation use cases.
- Prompt tuning,



Prompt structuring/restructuring , prompt result consistency improvement, hallucinations reduction techniques
- Knowledge on Zero-shot, One-shot, and Few-shot prompting, chain of thought prompting
- Handle scenarios where model receive conflicting/incomplete data
- Prompts tuning to enforce a strict output structure

- AI Agent Development

- Design, build, and deploy autonomous AI agents using Microsoft Copilot and or approved LLM technologies to automate business processes, integrate enterprise data sources, and execute complex workflows with minimal human intervention

- Large Language Models (LLMs) (Not mandatory, but exposure to these models is good to have. The role will involve using internal models rather than developing new ones.)
- LLM API Integrations
- AI Workflow Orchestration
- Intelligent Automation Solutions

Programming & Integration

- Python Development
- REST APIs
- Enterprise System Integrations
- SQL
- Automation Frameworks

4. Key Responsibilities Analytics & BI

- Design and develop enterprise-scale Power BI and MicroStrategy solutions.
- Build executive dashboards and advanced reporting capabilities, including generating insights, identifying trends, preparing executive summaries, creating single-page summaries, and developing multi-page presentations using data from the dashboard.
- Develop scalable data models to support strategic decision-making.
- Deliver complex paginated reports for business stakeholders.

Automation & Copilot

- Design and implement Microsoft Copilot use cases.




- Develop prompt frameworks to improve productivity and business outcomes.
- Automate business workflows using Power Automate.

AI Engineering

- Design and deploy AI Agents.
- Integrate LLMs through enterprise APIs.
- Build AI-powered solutions using Python.
- Develop agentic workflows and intelligent business automation.
- Perform prompt tuning.

Innovation & R&D;

- Continuously evaluate emerging AI technologies.
- Identify new use cases for Generative AI.
- Drive adoption of cutting-edge AI capabilities across business functions.

5. Soft Skills & Stakeholder Management

- Strong communication and presentation skills.
- Ability to engage with senior business stakeholders.
- Excellent analytical and problem-solving capability.
- Ability to work independently in a fast-paced environment.
- Strong consulting and solutioning mindset.

6. Work Schedule

- Candidate should be comfortable to Provide Support for the U.S. time zone, with a couple of hours overlapping in the EST morning
- Ability to collaborate with global teams across multiple geographies.
- Flexible in supporting critical business deliveries and stakeholder meetings.

7. Preferred Candidate Profile

- Strong combination of Power BI + MicroStrategy + AI + Copilot expertise.
- Hands-on experience in AI Agent development and GenAI implementations.
- Proven track record of delivering enterprise analytics solutions.
- Experience integrating BI platforms with AI-driven workflows.
- Strong Python automation and API integration expertise.

Hiring Consensus

- Target candidates with a rare blend of Business Intelligence and Applied AI skills .
- Priority to candidates having hands-on experience in:
- Power BI
- MicroStrategy
- Microsoft Copilot
- AI Agents / GenAI
- Python
- Power Automate

- Financial Services domain exposure will be an added advantage.
- Candidates should demonstrate both architectural thinking and hands-on development capabilities.

📌 BI/Data Analytics with AI (Pune)
🏢 Crisil
📍 Pune

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