Entry-Level Data Analyst

We are looking for a motivated and detail-oriented Entry-Level Data Analyst to join our team. The ideal candidate should have completed graduation or post-graduation and possess strong analytical, logical-thinking, and problem-solving skills.

The candidate will be responsible for collecting, cleaning, organizing, and analyzing data to identify trends and patterns that support business decision-making. This role is suitable for Entry Level Candidates who are interested in building a career in Data Analytics.

1. Roles and Responsibilities * Collect data from various sources and organize it for analysis. * Clean and validate datasets to ensure data accuracy and consistency. * Analyze data to identify trends, patterns, and business insights. * Prepare reports, dashboards, and visualizations to present findings. * Use Microsoft Excel to organize data, perform calculations, and generate reports. * Write basic SQL queries to retrieve and analyze data from databases. * Assist in creating dashboards using Power BI or Tableau. * Identify data discrepancies and help resolve data-quality issues. * Collaborate with business teams and stakeholders to understand reporting requirements. * Present analytical findings in a clear and understandable manner. * Maintain proper documentation of data sources, reports, and analysis. * Support senior analysts and management with data-driven insights.

Educational Qualification

• Any graduate degree or post graduation
• s and candidates with zero to two year of experience are eligible., * Strong analytical and logical-thinking abilities.
• Basic knowledge of Microsoft Excel.
• Good mathematical and problem-solving skills.
• Attention to detail and accuracy when handling data.
• Good verbal and written communication skills.
• Ability to interpret data and identify patterns.
• Willingness to learn data analysis tools and techniques.
• Ability to work independently and collaboratively with a team.

Preferred Skills (Not Mandatory)

• Basic knowledge of SQL and relational databases.
• Familiarity with Power BI or Tableau for data visualization.
• Basic knowledge of Python or R for data analysis.
• Understanding of statistics and data interpretation.
• Knowledge of charts, graphs, dashboards, and reporting techniques.