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Entry-Level Data Analyst ID-16353

📋 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, with ample opportunities for growth and professional development. • 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. • Collect, clean, and organize data from various sources to ensure data accuracy and completeness. • Perform data analysis using statistical methods and software tools to uncover trends, patterns, and insights. • Create visual reports and dashboards to communicate findings clearly to stakeholders. • Assist in the development of data models and predictive analytics to support decision-making processes. • Collaborate with cross-functional teams (such as marketing, sales, and operations) 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.

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🎯 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.

🏖️ Benefits

• 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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