Data Analyst

Job Overview:

We are seeking a highly skilled and detail-oriented Data Analyst to join our dynamic team. The ideal candidate will have strong experience in data analysis using Python and related libraries, modern BI tools, cloud platforms (AWS, GCP, Azure), and ETL processes. The candidate will be responsible for data collection, transformation, analysis, and visualization to drive data informed decision-making across the organization.

Key Responsibilities:

● Analyze large and complex datasets to extract actionable insights and trends.

● Develop and maintain data pipelines and ETL processes to ensure reliable data flow.

● Design, develop, and publish interactive dashboards and reports using Power BI, Looker Studio, and Tableau.

● Implement RESTful APIs and backend services using Python frameworks such as FastAPI and Django.

● Perform data cleaning, transformation, and statistical analysis using Python (NumPy, Pandas, Scikit-learn).

● Generate visualizations and reports using Matplotlib and Seaborn.

● Collaborate with cross-functional teams to understand data needs and deliver accurate solutions.

● Work with data hosted on cloud platforms (AWS, GCP, Azure) and integrate them into analysis workflows.

● Ensure data integrity, quality, and governance across all reporting systems. Required Technical Skills:

● Proficient in Python (Core) for data analysis and backend development.

● Experience with FastAPI and Django for API and web app development.

● Strong knowledge of NumPy, Pandas, Scikit-learn, Matplotlib, and Seaborn.

● Hands-on experience with Power BI, Looker Studio, and Tableau for reporting and visualisation.

● Familiarity with AWS, Google Cloud Platform (GCP), and Microsoft Azure for data storage, processing, and services integration.

● Experience designing and maintaining ETL pipelines and working with large-scale structured and unstructured data.

Job Type: Full-time

Pay: ₹30,000.00 - ₹60,000.00 per month

Benefits:

• Health insurance
• Paid sick time
• Provident Fund

Work Location: In person