Entry-Level Remote Data Analyst

Posted 2025-06-25
Remote, USA Full-time Immediate Start
    Description:
  • We are seeking a detail-oriented and analytical Entry-Level Data Analyst to join our remote team.
  • This role is an excellent opportunity for individuals looking to build a career in data analysis.
  • You will be responsible for collecting, analyzing, and interpreting data to provide insights that support business decisions.
  • No prior experience is necessary, as we will provide comprehensive training for the right candidate.
  • Collaborate with cross-functional teams to understand data needs and provide relevant insights.
  • Continuously monitor data quality and identify areas for improvement in data collection and analysis processes.
  • Maintain confidentiality of sensitive company data and adhere to data protection regulations.
    Requirements:
  • Bachelors degree in a related field (e.g., Data Science, Statistics, Mathematics, Computer Science, Economics, or a similar discipline) is preferred but not required.
  • Strong analytical skills and attention to detail.
  • Basic knowledge of statistical analysis and data visualization tools (such as Excel, Power BI, or Tableau) is a plus.
  • Familiarity with SQL or other database languages is preferred but not mandatory.
  • Strong problem-solving skills and ability to think critically.
  • Excellent communication skills, both written and verbal.
  • Self-motivated and able to work independently in a remote setting.
  • Ability to manage time effectively and meet deadlines.
  • Familiarity with data analysis concepts through coursework, internships, or personal projects is advantageous.
    Benefits:
  • Competitive starting rate of $45,000 - $87,000 per year (based on experience and qualifications).
  • Work-from-home flexibility: Enjoy the convenience of working remotely with flexible hours.
  • Health Benefits: Comprehensive medical, dental, and vision insurance plans.
  • Retirement Plan: 401(k) with company matching to help you plan for your future.
  • Paid Time Off: Generous vacation days, paid sick leave, and holidays.
  • Professional Development: Access to training programs and courses to enhance your data analysis skills and career progression.
  • Career Growth Opportunities: Clear pathways for promotion and development into more advanced roles in data science and analytics.

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