About the RoleWe are looking for a motivatedData Analystto join our team. The ideal candidate should have strong fundamentals in analytics, hands-on experience in Python, SQL, and Power BI, and a good understanding of cloud platforms. You will work closely with cross-functional teams to build dashboards, automate data pipelines, and support model development. EX- 2+ years of hands-on analytics experienceKey Responsibilities Develop and maintainPower BI dashboardsand automated reports. Write advancedSQL queriesfor data extraction, transformation, and analysis. Build data pipelines and perform data cleaning/preprocessing usingPython. 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/Azurepreferred). Ensure data quality, governance, and documentation of all analytics processes.Must-Have Skills Strong hold onPython(Pandas, NumPy, basic ML libraries). Excellent understanding ofSQLand relational databases. Hands-on experience withPower 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 toAWS or Azurecloud 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.
Job Title
Senior Data Scientist