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Data Analyst | Codersbrain

full-time
Posted on June 28, 2025

Job Description

Data Analyst

Job Summary

The Data Analyst will play a critical role in interpreting and analyzing data to provide actionable insights that drive business decisions. This remote position requires an individual with a strong analytical background and industry experience to transform raw data into meaningful metrics and visualizations, contributing to the overall success and strategic direction of the organization.

Responsibilities

  • Collect, process, and analyze large datasets to identify trends and patterns.
  • Develop and maintain dashboards, reports, and visualizations to support decision-making.
  • Collaborate with cross-functional teams to define data requirements and resolve data discrepancies.
  • Interpret data analysis results and translate them into clear, actionable insights.
  • Ensure data quality, accuracy, and relevance through thorough validation and testing.
  • Recommend improvements in data collection methods and reporting processes.

Qualifications

  • Bachelor’s degree in Statistics, Data Science, Computer Science, or a related field.
  • Proficiency in data analysis tools and programming languages such as SQL, Python, or R.
  • Experience with data visualization platforms (e.g., Tableau, Power BI).
  • Strong analytical and problem-solving skills with a keen eye for detail.
  • Excellent communication skills, with the ability to relay complex information clearly.
  • Familiarity with data mining, statistical analysis, and predictive modeling techniques.

Preferred Skills

  • Experience working with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Knowledge of machine learning algorithms and predictive analytics.
  • Familiarity with cloud-based data solutions and remote collaboration tools.

Experience

  • 7-8 years of relevant data analysis experience, demonstrating a strong track record of translating data into actionable business insights.

Environment

  • This is a remote position, offering flexibility and the opportunity to work within a distributed team environment.
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