Senior Data Analyst

Job Summary: We are looking for an experienced and detail-oriented Data Engineer to build, manage, and optimize data pipelines and datasets. The ideal candidate should have strong expertise in MS Excel , solid knowledge of Python , and hands-on experience in data cleaning, transformation, and handling large datasets . This role will support business and analytics teams by delivering reliable and high-quality data.

Key Responsibilities: · Design and maintain data pipelines and workflows. · Perform data cleaning, transformation, and validation of large datasets. · Create advanced reports using MS Excel (Pivot Tables, VLOOKUP, XLOOKUP, Power Query). · Write and maintain Python scripts for data automation and processing. · Optimize data storage and retrieval processes. · Ensure data accuracy, consistency, and integrity across multiple sources. · Collaborate with business analysts and stakeholders to understand data requirements. · Support ETL and data warehousing processes. Required Skills: · Strong experience in MS Excel (advanced formulas, Pivot Tables, Power Query). · Strong knowledge of Python (Pandas, NumPy, data manipulation). · Hands-on experience with data handling, transformation, and cleaning . · Good knowledge of SQL (writing complex queries, joins, indexing). · Experience working with large datasets and structured/unstructured data. · Familiarity with ETL tools/processes. Good to Have: · Experience with cloud platforms like AWS / Azure / GCP . · Familiarity with data visualization tools like Power BI, Tableau . · Knowledge of Apache Spark or similar big data tools. · Experience with version control tools like Git.