Data Analyst

Responsibilities & Context

Analyze and organize data from various data sources

Identifying patterns, trends, and correlations in large datasets to support decision-making processes

Perform testing of ETL/Data pipelines making use of any cloud-based data integration services, SPARK, Python etc

Conduct test on Data Warehouse, Database schema

Carry out regular performance checks

Documenting processes and maintaining data records

Education

B.Sc/M.Sc in Computer Science and Engineering from reputed university

Experience

1 to 4 years

The applicants should have experience in the following business area(s):

Manufacturing (FMCG), Manufacturing (Light Engineering and Heavy Industry), Computer Hardware/Network Companies, Electronic Equipment/Home Appliances, Group of Companies, Mobile Accessories

Additional Requirements

Age 22 to 30 years

Strong analytical and problem-solving skills to interpret complex datasets and extract meaningful insights

Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.

Experience with data visualization tools such as Tableau, Power BI, or matplotlib for creating insightful visualizations.

Understanding of statistical methods and techniques for data analysis, hypothesis testing, and regression analysis.Excellent verbal and written communication skills

Keen attention to detail and accuracy in data analysis and reporting