Data Analyst (Fresher / Python/SQL Expert)

Overview

The Data Analyst plays a crucial role in extracting, analyzing, and interpreting complex data sets to help drive business decision-making. They are responsible for transforming data into insights and providing actionable recommendations to improve business processes and outcomes.

Key Responsibilities

• Collect and interpret data from various sources to analyze patterns and trends
• Develop and maintain databases by acquiring data from primary or secondary sources
• Cleanse and preprocess data for analysis and reporting
• Utilize statistical tools and techniques to generate insights and predictions
• Create data visualizations and reports to communicate findings to stakeholders
• Collaborate with cross-functional teams to understand business objectives and data requirements
• Perform ad-hoc analysis and present findings to support decision-making
• Assist in identifying opportunities for process improvements and automation
• Stay updated with industry best practices and technological advancements in data analysis
• Contribute to the development and enhancement of data analytics processes and tools
  
  

Required Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field
• Proficiency in Python for data manipulation and analysis
• Strong understanding of SQL and database management
• Familiarity with statistical modeling and data mining techniques
• Experience with data visualization tools such as Tableau, Power BI, or similar
• Ability to work with large data sets and perform data cleansing and preprocessing
• Excellent problem-solving and critical thinking skills
• Strong attention to detail and accuracy in data analysis
• Good communication and presentation skills to convey complex findings visually and verbally
• Capability to work independently and manage multiple tasks simultaneously
  
  

Skills: python,sql,data analysis,statistical modeling,data visualization