Data Analyst - Fresher

About Gravitix Tech Solutions
Gravitix Tech Solutions is a forward-thinking technology company focused on delivering impactful digital and recruitment solutions across various sectors. We believe in building strong teams through smart hiring and people-centric strategies.
Data Analyst (Fresher) – Job Description
About the Role

We are looking for a detail-oriented and analytical Data Analyst to join our growing team. This role is ideal for fresh graduates and early-career professionals who are passionate about working with data, identifying trends, and transforming raw information into meaningful business insights.

As a Data Analyst, you will collect, analyze, and interpret data to support business decisions while working closely with cross-functional teams.

Key Responsibilities

• Collect, clean, and analyze data from multiple sources.
  
• Create reports, dashboards, and visualizations to present business insights.
  
• Write and optimize SQL queries for data extraction and analysis.
  
• Identify trends, patterns, and opportunities through data analysis.
  
• Validate data to ensure accuracy, consistency, and quality.
  
• Assist in developing automated reports and performance dashboards.
  
• Collaborate with business stakeholders to understand reporting requirements.
  
• Support data-driven decision-making across departments.
  
• Document data analysis processes and maintain reports.
  

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Business Analytics, or a related field.
  
• Freshers or candidates with 0–2 years of experience.
  
• Strong knowledge of Microsoft Excel (Pivot Tables, VLOOKUP/XLOOKUP, Charts, Formulas).
  
• Good understanding of SQL and relational databases.
  
• Basic knowledge of Python or R for data analysis.
  
• Familiarity with Power BI or Tableau.
  
• Strong analytical, logical thinking, and problem-solving skills.
  
• Good communication and presentation abilities.
  

Preferred Skills

• Knowledge of Python libraries such as Pandas, NumPy, and Matplotlib.
  
• Understanding of data cleaning and preprocessing techniques.
  
• Familiarity with statistical analysis and data visualization.
  
• Basic understanding of ETL processes and data warehousing.
  
• Internship or academic projects in data analytics or business intelligence.
  

What We Offer

• Competitive salary and performance-based incentives.
  
• Comprehensive training and mentorship.
  
• Hands-on experience with real-world business data.
  
• Opportunities to work on analytics and business intelligence projects.
  
• Career growth in Data Analytics, Business Intelligence, and Data Science.
  
• Collaborative and supportive work environment.