A leading organization is seeking a skilled Data Analyst to join their team. The ideal candidate will have expertise in analyzing, processing, and extracting meaningful insights from large datasets. Proficiency in Python, SQL, APIs, and advanced data visualization tools is required. The role also involves automating workflows, managing data pipelines, and delivering actionable insights to support business decisions.

This position requires 1-3 years of hands-on experience in data analysis and visualization. Candidates with strong analytical skills and attention to detail will excel in this role.

Key Responsibilities:

- Analyze structured and unstructured data to provide actionable insights.
- Design, develop, and maintain efficient data analysis and reporting solutions.
- Work with tools like Python, Pandas, SQL, and data visualization libraries (Matplotlib, Seaborn, Power BI, or Tableau).
- Extract and process data from APIs and other web-based data sources.
- Automate data workflows and build data pipelines for efficient data processing.
- Collaborate with stakeholders to gather requirements and provide data-driven solutions.
- Ensure the accuracy, completeness, and consistency of data for reporting and analysis.
- Troubleshoot and resolve data-related issues in workflows.

Qualifications





Educational Requirements

- Bachelor s degree in Data Science, Computer Science, Statistics, or a related field.

Experience Requirements:
- 1-3 years of experience in data analysis and reporting.

Technical Skills:

- Strong proficiency in Python and SQL.
- Hands-on experience with data visualization tools like Power BI, Tableau, or similar libraries.
- Expertise in data manipulation and analysis libraries like Pandas and NumPy.
- Familiarity with API integration (REST, GraphQL) for data extraction.
- Knowledge of database systems and query optimization.
- Experience with version control tools like Git.

Preferred Skills:

- Familiarity with cloud services (AWS, Azure, or GCP) for data analysis workflows.
- Experience in designing dashboards and reports for business intelligence.
- Knowledge of statistical analysis and machine learning concepts is a plus.
- Awareness of data privacy and compliance standards.

Why Consider This Role

- Exciting Opportunities: Work on impactful projects that drive business decisions.
- Career Growth: Enhance your skills in advanced data analytics and visualization.
- Cooperative Environment: Partner with a talented team to solve complex problems.

📌 Data Analyst (New Delhi)
🏢 MS Guide World
📍 New Delhi