Data Analyst

About the Role

We are looking for a detail-oriented and analytical Data Analyst who is proficient in Python, Machine Learning, SQL, Power BI, and Advanced Excel.

Responsibilities

The ideal candidate will be responsible for:

• Collecting, processing, and cleaning large datasets from multiple sources.
• Performing exploratory data analysis (EDA) to identify trends and patterns.
• Developing and deploying Machine Learning models for predictive and classification tasks.
• Writing optimized SQL queries to extract and manipulate data.
• Creating interactive dashboards and reports using Power BI.
• Utilizing Advanced Excel functions (Pivot Tables, VLOOKUP, Macros, etc.) for data analysis and reporting.
• Presenting findings to stakeholders in a clear and concise manner.
• Collaborating with cross-functional teams to understand business requirements and translate them into data solutions.

What You'll Need

To be successful in this role, you will need:

• Proficiency in Python with libraries such as Pandas, NumPy, Matplotlib, Scikit-learn.
• Strong knowledge of Machine Learning algorithms (Regression, Classification, Clustering, etc.).
• Experience with SQL for data extraction, joins, and performance tuning.
• Hands-on experience in building dashboards and reports using Power BI.
• Advanced knowledge of MS Excel including formulas, data modeling, and automation.
• Good problem-solving and communication skills.

Resume Tip

Highlight your experience with data analysis, machine learning, and data visualization tools in your resume to increase your chances of getting shortlisted for this role.