Senior Data Scientist

About the Role

Data Analyst

EX- 2+ years of hands-on analytics experience

Key Responsibilities

• Develop and maintain

  Power BI dashboards

  and automated reports.
• Write advanced

  SQL queries

  for data extraction, transformation, and analysis.
• Build data pipelines and perform data cleaning/preprocessing using

  Python

  .
• Support machine learning model development, testing, and deployment.
• Collaborate with business stakeholders to gather requirements and convert them into analytical solutions.
• Work with engineering teams on cloud deployments (

  AWS/Azure

  preferred).
• Ensure data quality, governance, and documentation of all analytics processes.

Must-Have Skills

• Strong hold on

  Python

  (Pandas, NumPy, basic ML libraries).
• Excellent understanding of

  SQL

  and relational databases.
• Hands-on experience with

  Power BI

  (DAX, data modelling).
• Ability to understand business KPIs and convert them into dashboards.
• Strong analytical thinking and problem-solving skills.
• B.Tech/B.E degree (mandatory).

Good-to-Have Skills

• Exposure to

  AWS or Azure

  cloud services (EC2, S3, Lambda, Azure Data Factory, etc.).
• Knowledge of data engineering basics (ETL, APIs, automation).
• Experience with ML lifecycle tools (MLflow, Scikit-learn pipelines).
• Understanding of version control using Git.

Preferred Candidate Profile

• 2+ years of hands-on analytics experience

• OR

• MBA with at least one internship in data science/analytics
• Shows strong ownership, curiosity, and eagerness to learn new technologies.
• Comfortable working in a fast-paced environment and handling multiple tasks.