We are looking for a motivated and analytical Data Analyst / Data Scientist to join our growing team. This role is ideal for individuals who enjoy working with data, uncovering insights, building predictive models, and helping businesses make data-driven decisions.

You will work with structured and unstructured datasets, create interactive dashboards, perform statistical analysis, and develop machine learning solutions for real-world business problems. Freshers with strong academic projects or internship experience are encouraged to apply.

Key Responsibilities
- Collect, clean, and analyze large datasets
- Develop dashboards and reports using Power BI or Tableau
- Perform data analysis to identify trends and business insights
- Write efficient SQL queries for data extraction and reporting
- Build predictive models using Python and Machine Learning
- Create visualizations to communicate findings effectively
- Work with cross-functional teams to solve business problems
- Automate repetitive data tasks and reporting
- Validate data accuracy and maintain data quality




- Document processes and analytical findings

Required Skills:
- Python
- SQL
- Microsoft Excel
- Power BI or Tableau
- Data Analysis
- Statistics
- Data Cleaning
- Pandas
- NumPy
- Problem Solving

Preferred Skills
- Machine Learning
- Scikit-learn
- TensorFlow or PyTorch
- Deep Learning
- NLP
- Data Visualization
- Big Data (Spark/Hadoop)
- Git & GitHub
- Cloud Platforms (AWS, Azure, GCP)
- ETL Concepts

Qualifications
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
- Freshers with strong projects are encouraged to apply
- Internship experience is a plus

Experience

0-2 Years

Employment Type

Full-time

Salary

₹5,00,000 - ₹12,00,000 per annum (based on skills and experience)

Benefits
- Competitive Salary
- Performance Bonus
- Flexible Working Hours
- Health Insurance
- Paid Time Off
- Learning & Certification Support
- Growth opportunities Opp

📌 Data Analyst (Pune)
🏢 Sanket Rathod Collectives
📍 Pune