About Life Healthcare: Our purpose is making life better. We are a global healthcare provider delivering measurable clinical quality through a diversified offering and a people-centred approach. Why Life Healthcare: This is a time of great opportunity with a host of systemic problems to solve in the South African healthcare industry. The hospital industry is a critical component of healthcare delivery. Life Healthcare is at the forefront of innovation in the industry with a clear commitment to a strategy that delivers optimal health outcomes for our patients and is built on an evidence-based foundation, driven by insights derived from data. Role description: Analytics Manager, reporting to the Head: Analytics. The successful candidate will play a key role in the realisation of an organisation driven by evidence-based decision-making, and as such, this is a strategically important position. The role is responsible for ensuring that senior management, business and other key stakeholders are equipped with insights from data that can inform their strategic decisions, but more than that, for designing and building the engine for the delivery of data insights.

•     Ensure that Life Healthcare can drive business value through reporting and analytics.
•     Collaborate with stakeholders to understand analytics needs and how these evolve.
•     Responsible for clarifying client requirements and translate analytical concepts into client-friendly terminology, meeting all analytical requirements.
•    Oversee the analytics infrastructure and toolkit and ensure that it remains fit for purpose in support of organisational goals, researching best-in-breed solutions on an ongoing basis.
•   Oversee and manage a team of data scientists, machine learning engineers and domain experts.
•   Develop and nurture a high-performance, quality-obsessed, collaborative culture with other leaders in the broader data and analytics team.
•   Demonstrate thought leadership in the application of advanced analytics to solve business problems
•   Drive innovation in the analysis of data.
• Be accountable for applying advanced predictive and prescriptive analytics that uses cutting-edge data science and machine learning techniques to guide evidence-driven decision-making.
• Effectively communicate to senior management, business, and staff in the data and analytics team the value and importance of analytics and the business possibilities that flow from its insights.

• Honours-level degree in Computer Science, Mathematics, Statistics, Actuarial Science, Economics or a cognate analytical field, or other equivalent qualifications.
• 5 years of experience in an analytics environment, using descriptive and predictive analytics to inform business decisions.
• 1 years of management experience.
• Strong leadership and communication skills.
• Understanding of data systems, architecture and pipelines.
• Demonstrated ability to analyse and interpret complex problems or processes that span multiple business areas, identify and understand requirements, and develop alternate solutions.
• Project management skills.
• Client relationship skills: demonstrated ability to build relationships with and deliver valuable solutions for stakeholders.
• Familiarity with relevant analytics tools, including big data solutions.
• Healthcare experience will be a definitive advantage

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