Data Analyst Entry Position

hace 1 mes


Madrid, Madrid, España Binus University A tiempo completo

Job Overview: Binus University is seeking an entry-level Data Analyst to join our remote team. This role offers a unique opportunity for individuals to build a career in data analysis, with ample opportunities for growth and professional development.

Key Responsibilities:

  • 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 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.

Qualifications:

  • Bachelor's degree in a related field (e.g., Data Science, Statistics, Mathematics, Computer Science, Economics) or similar discipline is preferred but not required.
  • Strong analytical skills and attention to detail.
  • Basic knowledge of statistical analysis and data visualization tools (e.g., Excel, Power BI, Tableau).
  • 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:

  • Competitive salary: $60,000 per year
  • Work-from-home flexibility: Enjoy the convenience of working remotely with flexible hours.
  • Comprehensive medical, dental, and vision insurance plans.
  • 401(k) retirement plan with company matching.
  • Generous vacation days, paid sick leave, and holidays.
  • Professional development opportunities: 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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