We're problem solvers, driven by a simple desire to do work that matters. We're constantly evolving ourselves and leveraging the latest AI technologies to create elegant, innovative solutions across the medical imaging sector.
Annalise.ai was formed through a unique partnership between Harrison.ai and Australia's largest medical imaging service provider, I-MED Radiology Network. Leveraging our diverse and extensive medical imaging dataset, Annalise.ai is developing tools to assist Radiologists by seamlessly integrating into their current workflow to provide diagnostic support. Our suite of comprehensive AI-solutions will support radiologists during their end-to-end process of imaging interpretation.
About your role
We are in an exciting phase of rapid growth at Annalise.ai and as we continue to grow, we're looking for a highly motivated and astute Product Data Analyst to help us in our journey of building and delivering high quality medical software.
Reporting to our Chief Product Officer, your role as Product Data Analyst will involve delivering data driven product, UX and customer insights to our Annalise.ai team, enabling us to make better decisions and provide the best possible experience to our customers.
As an integral member of our Product team, in this role you will take full ownership of the product data analytics function at Annalise.ai. You will work end-to-end across defining data capture requirements and work closely with our software engineers to instrument our products - analysing, synthesising and reporting insights to all levels. You will use your great interpersonal skills and knowledge of product analytics to help us deliver products that will positively change and impact millions of patient lives at scale.
Note: for this role, we are open to consider qualified remote candidates who are based anywhere within Australia.
What you'll do:
Develop and lead the data analytics capability at Annalise.ai; Select and deploy the appropriate analytics products and architecture for our industry; Define and execute a data analytics roadmap; Collaborate with our Product Management team to bring insightful data driven insights into our customers and products; Monitor user engagement to help us understand how our products are being used; andBuild and maintain dashboards to allow the entire Annalise.ai team to engage with our customers and product insights.
What will help you succeed:
Previous experience in a data analyst role for software products;Strong SQL skills and ability to design DB schemas;Experience setting up and using business Intelligence & dashboarding software;Outstanding communication skills and ability to successfully collaborate with multiple stakeholders across the business; andStrong problem-solving skills and ability to work effectively with high levels of ambiguity.
Nice to have (but not essential):
Experience processing datasets using Python and/or R;Experience navigating data privacy and security; andBachelor’s degree in data science, engineering, mathematics or a related degree.
Why you'll thrive working here:
Do work that matters - we are pioneering innovative and cutting edge AI technologies across the medical imaging sector to help make real, positive impact on patient outcomes around the world.Flexible work - we value life at work and life outside of work. Plenty of flexible work options available with us.Grow your career with us – you'll be given a high degree of autonomy to make your mark in this role. In addition, we are big believers in lifelong learning and will support you to cross-skill in whichever direction you may choose to enhance your career.Competitive remuneration – we know this isn't everything, but it's still an important consideration!We're a start-up with a unique culture - with inclusive social activities, wellbeing initiatives and collaborative team events (including pizza, drink & trivia nights), we celebrate achievements together and take care of our people.Beautiful office space - located in the heart of Sydney's CBD at Wynyard. Note: our office remains open but we are mostly working remotely and support flexible working.
Thank you for considering this opportunity with us! If this role is of interest to you, please apply now and we'll look forward to reviewing your application shortly.