Data Analyst - Gen AI

***Who Are We?

BILeader is a boutique consulting firm specializing in transforming data into real assets. The company was founded out of a desire to give customers what they most need and might not

get due to the built-in gap between the business vision and data experts.

We have the best data experts in the market and the best businesses visionaries.

What we do best, is building data strategy for leading organizations in the market, and then helping them develop the most innovative and comprehensive data solutions.

About the Role:

We are looking for an independent and self-driven Data Analyst who aspires to grow into a Data Scientist. This role is perfect for someone passionate about data, AI, and analytics, who is eager to learn and take ownership of projects. You will work on SQL, Python, Power BI, and LLM models (Hugging Face, OpenAI) while contributing to AI-powered analytics and chatbot projects. Over time, you'll have opportunities to transition into a Data Science role with hands-on experience in RAG, NLP, and AI-driven insights.

Responsibilities:

Work independently to analyze and interpret data from various sources.

Use SQL to extract and manipulate large datasets.

Develop Python scripts for automation and data processing.

Build and maintain Power BI dashboards for business intelligence.

Apply LLM models (Hugging Face, OpenAI) to extract insights and automate workflows.

Collaborate with AI engineers and contribute to AI-powered projects.

Take initiative in exploring new AI and data science techniques.

Requirements:

✅ Highly independent with the ability to take ownership of tasks.

✅ Strong proficiency in SQL for data extraction and transformation.

✅ Experience with Python for data analysis and automation.

✅ Hands-on experience with Power BI for analytics and visualization.

✅ Familiarity with LLM models (Hugging Face, OpenAI) for data processing.

✅ Passion for AI and willingness to learn data science methodologies.

Bonus Skills (Nice to Have):

➕ Experience with RAG (Retrieval-Augmented Generation) and NLP techniques.

➕ Knowledge of AWS for cloud-based data processing.

➕ Familiarity with Whisper for speech-to-text analysis.