Technofactorx AI

Data Analyst (Fresher / Python/SQL Expert)

Job description

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

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