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Coursera Work from Home; Hiring Data Systems Analyst – Apply Now


Data Systems Analyst Remote Jobs 2025!!!

Coursera announced job vacancy for the post of Data Systems Analyst. The place of posting will be at Remote - India. Candidates who have completed Graduate with Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company

Coursera

Required Qualifications

Graduate

Skills

Excel, SQL, Tableau

Work Type

Remote

Official Website

coursera.org

The Data Systems Analyst will manage the ticketing system for course maintenance requests, monitor workflows, and analyze data to optimize processes. This role ensures that team activities are well-organized and efficiently executed.

Θ Positions: Data Systems Analyst

Θ Job Location: Remote (India)

Θ Salary: As per company Norms

Θ Job Type: Full Time

Θ Requisition ID: 5439368004

Required Skills & Qualifications:

  • Bachelor’s degree in Data Analytics, Information Systems, Computer Science, or a related field.
  • 2+ years of experience in a data analysis or systems management role.
  • Proficiency in data analysis tools (e.g., Excel, SQL, Tableau) and ticketing systems.
  • Strong analytical and problem-solving skills.
  • Excellent organizational and time management abilities.
  • Effective communication skills to liaise with team members and stakeholders.
  • These job descriptions should help you attract qualified candidates to build a strong and effective team for your offshore course maintenance and revision efforts

Responsibilities:

  • Manage and maintain the ticketing system, ensuring timely and accurate tracking of course maintenance and revision requests.
  • Analyze workflow data to identify bottlenecks and implement process improvements.
  • Provide scheduling and resource allocation support to the team leader.
  • Generate reports on team performance, project progress, and key metrics.
  • Develop and maintain dashboards for real-time monitoring and reporting.
  • Ensure data accuracy and integrity in all systems and reports.

 

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