Job title: Analytics Engineer
Reporting to: CTO
Location: Johannesburg (preferred) or remote
Start date: ASAP
ABOUT HEALTHFORCE
Welcome to Healthforce. We're a health tech company with a big dream: to lower the cost of quality care and improve health outcomes in Africa. We're not saying we're the whole solution, but with our blend of tech and human touch, we're proud to be playing our part.
We've rolled out a couple of digital products. The first is one that empowers clinic-based nurses to manage their practices, better serve patients and connect instantly with telemedicine doctors. This product has materially lowered the cost of access, bringing more efficient care to 4 million consultations in 500 clinic rooms across South Africa. We've also launched the Kena Health smartphone app, that offers purely virtual medical and mental health services. With a stellar 4.8️ rating and the title of number one healthcare app in the Google Play store and MTN App of the Year 2023, Kena Health is providing access to quality services at a fraction of the cost of a local doctor.
We're excited to be a part of South Africa's health tech revolution. Along with our key partners and investors, we've got plans to focus our efforts even more around system change.
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 an Analytics Engineer in our Analytics team, you will be responsible for modelling data to provide clean, accurate datasets so that different users within the company can work with them. You will be transforming, testing, deploying and documenting data. You will apply software engineering best practices to analytics.
WHAT YOU WILL BE DOING
1. Produce data that is ready for use. You collect, clean and transform data to make it available to internal and external stakeholders. You maintain a consistent and accurate flow of data from source to target. Define, document and maintain modelling standards. You will work with different functions and capabilities to clearly define their data needs.
2. Cloud Engineering. You apply best practices in software development to improve data movement and transformation on relevant cloud platforms. You ensure uptime of data pipeline, ingestion, models and visualization tools. You write tests to monitor changes in data and models to ensure reliability.
3. Continuous improvement. You will advocate for and introduce improvements to our development, testing, CI, automation and architecture. This includes improving the team's best practices and processes. You will also mentor team members on the analytics stack. Proactively identify issues and provide support to users.
4. Communication. You will provide updates to internal and external stakeholders, making sure everyone in the team understands protocols and standards in the use of data. You will also provide periodic updates to stakeholders on issues and progress made on initiatives.
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
* At least 2 years experience using programming languages like Python, Java.
* At least 3 years experience developing in modern analytics stacks that include ELT, cloud storage, transformation and visualisation.
* A thorough understanding of data warehousing principles including OLAP, Data Marts, Star Schema and Snowflake.
* Deep knowledge and experience in SQL data transformations.
* Experience with ELT applications like Fivetran or Stitch.
* Experience in use of machine-learning platforms using tools like Pytorch and TensorFlow.
* Experience using cloud platforms like GCP, AWS and Azure.
* Familiarity with business intelligence tools like Metabase, PowerBI and Tableau.
* You have worked and understand agile software development methodologies.
* Knowledge and interest in artificial intelligence, machine learning and predictive modelling is an advantage.
EDUCATION
* Undergraduate degree in Computer Science, Statistics or related field, or equivalent working experience.
* Cloud computing certifications will be an advantage.
* Short courses to keep up to speed with modern development practices.
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