Data Analyst – Membership
Duties and Responsibilities
Key Responsibilities
• Manage and maintain accurate member records within the membership management system.
• Analyse membership data to identify trends, patterns, and opportunities for business growth.
• Produce daily, weekly, monthly, and ad hoc membership reports for management.
• Monitor member registrations, renewals, cancellations, and reinstatements to ensure data accuracy.
• Reconcile membership data with employer schedules, broker submissions, and premium collections.
• Develop dashboards and performance reports to support strategic decision-making.
• Identify data inconsistencies and implement corrective measures to improve data quality.
• Collaborate with the Finance, Claims, Sales, and ICT departments to ensure seamless data integration.
• Support product development and marketing initiatives through data-driven insights.
• Conduct data validation, cleansing, and quality assurance exercises.
• Assist in forecasting membership growth and retention using analytical models.
• Ensure confidentiality and compliance with organizational data governance policies.
• Recommend process improvements that enhance operational efficiency and member experience.
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Qualifications and Experience
Qualifications and Experience
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Business Analytics, Actuarial Science, or a related field.
• Minimum of 2 years' experience in data analysis, business intelligence, or membership administration.
• Experience in the medical aid, insurance, banking, or financial services sector will be an added advantage.
• Strong proficiency in Microsoft Excel, including advanced formulas, PivotTables, Power Query, and data modelling.
• Experience with SQL for querying and managing databases.
• Experience working with membership or customer management systems is desirable.
Skills and Competencies
• Strong analytical and problem-solving abilities.
• Excellent attention to detail and accuracy.
• Ability to interpret complex datasets and present meaningful insights.
• Strong report writing and presentation skills.
• Excellent organizational and time management skills.
• Ability to work independently and collaboratively within a team.
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• High level of integrity and commitment to maintaining data confidentiality.
• Strong communication and interpersonal skills.
• Ability to thrive in a fast-paced, results-driven environment.
What We Offer
• A challenging and rewarding career in the healthcare financing sector.
• Opportunities for professional development and career growth.
• A collaborative and supportive working environment.
• Competitive remuneration aligned with qualifications and experience.
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Member Since: Dec 2022
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