SayPro Data Analyst – SayPro Classified Office

SayPro Monthly January SCMR-5 SayPro Monthly Classified Support Tickets: Implement a support ticket system for user inquiries by SayPro Classified Office under SayPro Marketing Royalty SCMR

Job Overview:

The SayPro Data Analyst for the Classified Office is responsible for assisting in the creation of reports and recommending improvements based on analytics from the SayPro Monthly January SCMR-5 and SayPro Monthly Classified Support Tickets. This role plays a crucial part in supporting the SayPro Marketing Royalty SCMR, primarily by implementing a robust support ticket system for user inquiries. The goal is to enhance the classified ads platform’s user experience by collecting data, performing in-depth analysis, and providing actionable insights that can lead to system improvements and better user support.

Key Responsibilities:

1. Report Creation & Data Analytics:
   • Assist in the generation of monthly reports, including SayPro Monthly January SCMR-5 reports, focusing on analyzing key performance indicators (KPIs) and operational data.
   • Analyze trends, user activity, and ticket volumes from SayPro Monthly Classified Support Tickets to provide comprehensive insights into system performance and user satisfaction.
   • Conduct data analysis using tools such as Excel, SQL, or Python to create visualizations and detailed reports to support decision-making processes.
2. Support Ticket System Implementation:
   • Collaborate with the SayPro Marketing Royalty SCMR to implement a support ticket system for managing user inquiries and issues effectively.
   • Ensure the support ticket system is user-friendly and able to track issues from submission to resolution.
   • Provide analytics on ticket resolution times, common user issues, and ticket escalation paths, aiming to improve the overall support process.
3. Improvement Recommendations:
   • Based on analytics from both the SCMR-5 reports and Support Ticket data, recommend improvements to the SayPro Classified platform, with a focus on enhancing user engagement, reducing friction, and improving the support process.
   • Work closely with the development team to ensure that suggested improvements are implemented effectively, with clear reporting on their outcomes and impact.
4. Collaboration and Communication:
   • Liaise with other departments (e.g., Marketing, IT, Customer Support) to gather data and insights that will inform the reports and recommendations.
   • Work with the Customer Support team to understand recurring issues and pain points reported by users, integrating these insights into the analysis for targeted improvements.
   • Communicate findings and recommendations clearly to stakeholders, ensuring that key insights are actionable and aligned with strategic goals.
5. User Experience Enhancement:
   • Review trends and data from user inquiries to identify patterns in support requests and service gaps, proposing solutions to optimize the customer support experience.
   • Analyze customer feedback from the support ticket system and other sources, helping the team create better support documentation and FAQs to reduce ticket volume.
6. Data Integrity & Quality Control:
   • Ensure the accuracy and integrity of data used for reporting and analysis. Conduct routine checks to ensure data is clean and up-to-date, helping to maintain high-quality analytics.
   • Maintain up-to-date knowledge of trends in data analysis tools, techniques, and best practices to continuously improve analytical methods.
7. Special Projects:
   • Take on additional projects as requested, including deep dives into specific user behavior or platform performance metrics.
   • Assist in the development and testing of new features for the support ticket system to ensure they meet the needs of both the support team and the users.

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Skills & Qualifications:

• Education: A Bachelor’s degree in Data Science, Computer Science, Business Analytics, or a related field is preferred.
• Experience:
  • 2+ years of experience in data analysis, with a focus on creating reports and providing actionable insights.
  • Experience with support ticketing systems or customer support platforms is a plus.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is an advantage.
  • Strong proficiency in Excel and/or SQL for data manipulation and reporting.
• Technical Skills:
  • Experience with Python or R for statistical analysis is a bonus.
  • Knowledge of CRM software and support ticketing platforms (e.g., Zendesk, Freshdesk) is desirable.
• Analytical Mindset: Ability to analyze large datasets, identify trends, and make data-driven recommendations to improve performance.
• Attention to Detail: Must possess a strong attention to detail when analyzing data and ensuring report accuracy.
• Communication Skills: Strong written and verbal communication skills to present data findings and recommendations clearly to stakeholders.
• Team Collaboration: Ability to work in a collaborative environment and engage with cross-functional teams to drive results.

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Performance Metrics:

• Accuracy and timeliness of monthly reports.
• Efficiency and effectiveness of the support ticket system.
• Improvement in user satisfaction metrics as a result of implemented changes.
• Reduction in recurring support issues identified through data analysis.

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Working Conditions:

• Full-time position with flexibility for remote work.
• Occasional travel may be required for team meetings or special project needs.

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The role of the SayPro Data Analyst is integral in ensuring that SayPro Classified Office operations run smoothly by providing data-driven insights and facilitating improved user experiences. By implementing and continuously improving the support ticket system, this position will play a key role in the success of SayPro Classifieds.