Data Analyst at Healthforce.io

THE ROLE

• Healthforce is a lean, low ego, highly skilled team of multidisciplinary experts, including healthcare, product, engineering, analytics, organisational development and training. We are product-led - meaning that we always start with what our customers need and work as a team to deliver from there. Our team uses modern tools and practices, and customer-centric ways of working.
• As a data analyst in our Analytics team, you will work to find opportunities for the business to improve using data. You will collect and manipulate data to present to various stakeholders to inform of discovered insights. You will also be responsible for producing various critical reports on an ongoing basis.

WHAT YOU WILL BE DOING

• Create dashboards and reports. You will elicit requirements from stakeholders to craft useful and accurate reports and dashboards. You will also continuously identify opportunities and use your programming skills to automate processes, manage data and improve reporting.
• Identify data to source. You will work with various data owners to understand, model and map their data to match the target structure. 
• Producing operational insights. You will use your statistics skills to identify trends, describe data and produce insights impacting various aspects of the business. You will communicate these in a professional, actionable and relatable manner.
• Importantly, you need to be socially minded and should want to apply your creativity and skills to reimagining the way out-of-hospital healthcare can be delivered to all South Africans when enabled by technology.

CULTURE FIT

• Healthforce’s culture is central to how we do things. We help people, we are aware, and our experience informs our pragmatic approach. That translates into specific behaviours we expect of each other internally and in how we serve our external stakeholders: the ability to connect; the ability to plan; the ability to keep people informed; the ability to deliver; and the ability to learn and grow.

KNOWLEDGE AND EXPERIENCE

• Strong experience in either of the following: SQL, R, Python (Pandas, Numpy, Matplotlib), SAS, SPSS
• At least 2 years of experience as a data analyst.
• Experience using and maintaining business intelligence tools
• Strong experience in data modelling
• Strong statistical skills
• Knowledge and interest in artificial intelligence, machine learning and predictive modelling is an advantage
• Experience using cloud platforms like AWS and Azure
• You have worked and understand agile software development methodologies.

EDUCATION

• Undergraduate degree in Computer Science, Statistics, Mathematics  or related fields
• A post-grad degree will be an advantage.
• Certifications in cloud computing
• Short courses to keep up to speed with modern development practices