Truelancer is Hiring Data Analyst . work from home jobs

 Roles and Duties ofData Analyst

  • Collaborate with cross-functional teams to understand business objectives and data requirements.
  • Collect, clean, and preprocess data from various sources to ensure accuracy and consistency.
  • Perform exploratory data analysis to identify trends, patterns, and outliers.
  • Develop and execute queries, scripts, or algorithms for data extraction, transformation, and loading (ETL).
  • Create and maintain data visualizations, dashboards, and reports using tools like Tableau or Power BI.
  • Conduct statistical analysis to uncover meaningful insights and correlations.
  • Present data findings to non-technical stakeholders in a clear and understandable manner.
  • Continuously monitor data quality and integrity, addressing issues as they arise.

Minimum Qualifications forData Analyst


  • Bachelor's degree in data science, statistics, computer science, or a related field (or equivalent experience).
  • Minimum of 2 years of professional experience as a Data Analyst, with a portfolio showcasing your work.
  • Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar.
  • Strong analytical and problem-solving skills, with a keen ability to dissect complex data sets.
  • Proficiency in data visualization tools such as Tableau, Power BI, or similar software.
  • Excellent communication and presentation skills for conveying data insights to non-technical audiences.
  • Focus on data accuracy and quality.

Preferred Skills forData Analyst

  • Bachelor's degree in data science, statistics, computer science, or a related field (or equivalent experience).
  • Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar.
  • Strong analytical and problem-solving skills, with a keen ability to dissect complex data sets.
  • Proficiency in data visualization tools such as Tableau, Power BI, or similar software.
  • Excellent communication and presentation skills for conveying data insights to non-technical audiences.
  • Focus on data accuracy and quality.
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