Data Analyst Professional

hace 1 día


Buenos Aires, Buenos Aires C.F., Argentina BINUS UNIVERSITY A tiempo completo

**Job Overview:**

We are seeking a detail-oriented and analytical data professional to join our remote team at BINUS UNIVERSITY. This role is an excellent opportunity for individuals looking to build a career in data analysis, with ample opportunities for growth and professional development.

Main 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 (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.

Qualifications and Skills:

  • Bachelor's 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.

Compensation and Benefits:

  • The estimated salary range for this role is $55,000 - $100,000 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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