Clinton Health Access Initiative

Analyst, Sustainable Health Financing

Country
South Africa
City
Pretoria
Type
Full Time
Program (Division)
Country Programs - South Africa

Overview

The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to saving lives and reducing the burden of disease in low-and middle-income countries while strengthening the capabilities of governments and the private sector in those countries to create and sustain high-quality health systems that can succeed without our assistance. For more information, please visit: http://www.clintonhealthaccess.org

 

CHAI is an Equal Opportunity Employer, and is committed to providing an environment of fairness, and mutual respect where all applicants have access to equal employment opportunities. CHAI values diversity and inclusion, and recognizes that our mission is best advanced by the leadership and contributions of people with diverse experience, backgrounds, and culture.

 

In South Africa, CHAI’s SHF Team is supporting the Department of Health (DoH) at the national, provincial, and district levels and the National Treasury in strengthening the health system to support the rollout of National Health Insurance (NHI) reform, and the in implementation of scaling up HIV/TB services across the country. Key areas of technical support include NHI provider payment reform, costing of services, procurement reform, planning, and financial management, health information system implementation, and overall, the identification and realization of efficiency and improved performance and financial management.

 

The Analyst will be based in Pretoria, South Africa but will regularly travel to various provinces, and will report to the Program Manager of the SHF Team. They are expected to provide technical support in one or more of the following:

Responsibilities

  • Support the roll-out of a provincial electronic patient information system, including the development of materials, training, and M&E.
  • Support the Approved Post List (APL) and Budget Management Instrument (BMI) project in Mpumalanga and Free State with the potential to roll out to more provinces.
  • Conduct analysis and assist with implementation of multiple financial efficiency interventions across the public health system.
  • Support the Associates on the team with data preparation, analysis, and presentations.
  • Additional responsibilities, as requested by the SHF Program Manager.

Qualifications

  • Mnimum of a Bachelor’s degree and a minimum of two years of professional experience;
  • Strong analytical skills and advanced technical proficiency with MS Excel and PowerPoint;
  • Demonstrated ability to work independently on complex projects and solve challenging problems with limited structural or operational support;
  • Demonstrated ability to multi-task, be effective in high-pressure situations, and adapt to fast-paced and changing environments;
  • Effective team player with a strong commitment to excellence;
  • Excellent organizational and problem-solving skills;
  • Excellent verbal, visual, and written communication skills;
  • Strong communication skills (English language fluency), both written and verbal;
  • Strategically minded, able to think creatively around long-term program objectives and the detailed steps necessary to achieve these goals;
  • Ability to think in quantitative terms and comfort around data and its manipulation is essential. 

Advantages:

  • A degree in Economics, Finance, Data Science, or any related discipline
  • An advanced degree (e.g., master’s degree) or relevant experience in Economics, Finance, Data Science, or any related discipline
  • Previous experience or knowledge of public sector health financing;
  • Previous experience with financial systems (accounting, payments), contracting, and/or supply chain;
  • Demonstrated experience building and analyzing quantitative models to inform decision-making, including experience developing or evaluating financial models;
  • Demonstrated ability to identify key trends from complex datasets and translate them into clear advice for decision-makers;
  • Previous experience with the development of systems and knowledge of programming languages;
  • Experience being a self-starter and working as part of a team of highly motivated and analytical individuals.

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