We are seeking an accomplished Data Professional to lead end-to-end data work across analytics, engineering, business intelligence, and AI solution development. The ideal candidate will own data pipelines, build BI dashboards, and develop AI-powered applications using modern Large Language Models (LLMs). You will work with global brands and cross-functional teams to turn raw data into accurate, insight-driven solutions across retail, healthcare, education, and e-commerce domains.
Kolkata, Rajarhat-Newtown
We are seeking an accomplished Data Professional to lead end-to-end data work across analytics, engineering, business intelligence, and AI solution development. The ideal candidate will own data pipelines, build BI dashboards, and develop AI-powered applications using modern Large Language Models (LLMs). You will work with global brands and cross-functional teams to turn raw data into accurate, insight-driven solutions across retail, healthcare,
education, and e-commerce domains.
Experience: 2–5 Years
Employment Type: Full-time, Onsite
Location: Kolkata, Rajarhat-Newtown
Key Responsibilities
Build and maintain end-to-end data pipelines: extraction (OCR, web scraping), cleaning (regex, preprocessing), transformation, and visualization.
Analyze large-scale transaction data (billions of records) to identify accurate “true positive” data and improve transaction accuracy.
Design and develop BI dashboards in Power BI and Tableau to track performance, customer behavior, and product trends.
Develop AI-powered applications using LLM APIs (Claude, OpenAI / ChatGPT, Google Gemini), including chatbots, RAG systems, and conversational data-query tools.
Write and optimize SQL queries; design relational schemas (MySQL, PostgreSQL).
Implement data tagging, cleaning, and quality-assurance workflows.
Conduct web and market research to validate data and support decision-making.
Mentor junior team members, manage project progress, and maintain strong client communication.
Deliver data-backed recommendations that improve decision-making and operational efficiency.
Required Skills & Qualifications
Bachelor’s degree
Strong proficiency in Python and SQL.
Hands-on experience with Power BI and/or Tableau.
Experience with data extraction techniques: OCR (pytesseract), web scraping, and regex.
Solid grounding in data cleaning, preprocessing, and feature engineering.
Working knowledge of LLM APIs (Claude, OpenAI, Gemini) and prompt engineering.
Familiarity with PostgreSQL / MySQL schema design.
Familiarity with Frappe
Understanding of ML / NLP fundamentals (classification, sentiment analysis, embeddings).
Preferred / Bonus Skills
Experience building RAG systems (vector search, SentenceTransformers, embeddings).
Speech-to-text integrations (e.g., Deepgram).
Cloud exposure: AWS and Azure (Databricks, Data Factory).
PySpark and big-data processing.
Relevant certifications (e.g., NVIDIA DLI, Data Science PG).
Core Competencies
Quick learner who embraces challenges and works with energy.
Able to work under pressure to meet deadlines while maintaining quality.
Effective both independently and in a team environment.
Strong communication and stakeholder management.
What Success Looks Like
Within the first 20 days, the candidate is expected to take ownership of existing data pipelines and dashboards, become fluent in the current transaction-analysis workflow, and independently deliver at least one analytics or AI feature end-to-end.
Interview Process
Application review
5–10 minute initial screening call with the TA team
Technical interviews {Domain specific}
Practical test conducted in the presence of a panel member
Role match & offer
