Today, we are proud to share we've served 100 million meals to puppers and their parents across Australia, and this is just the beginning. Our vision is to create multiple nutritional products, adding disease prevention meals and supplements, and expand into new markets.
Currently, we have a team of 250+ pet-obsessed people and we're continuing to grow (yes, looking at you!). These carefully selected people are dedicated to building the next generation of technology and products to help empower pet parents to take control over their pet's wellbeing.
To date, we have raised over $60M in funding from venture capital investors and pet industry insiders, who believe in our mission and ability to drive change in a stagnant industry, providing nutrition that nourishes puppers from the inside out.
Are you ready to shake things up and give pets the life they deserve? Come join our pack!
Our Mission:
The time we share with our pets is being cut short. Despite medical advancements, they're getting sicker earlier. They're dying prematurely. The industry has it backwards - prioritising treating symptoms instead of addressing the root cause. That's where we come in.
At Lyka, we take a preventative, holistic and personalised approach to pet care. We look at the full picture, factoring in the diet, lifestyle and environment of each individual animal.
We don't stop at symptoms, instead we dig for the root cause. We create nutrition plans unique to each pet, because it's not just about living longer, but living well too.
Our mission is to increase the lifespan of dogs and cats.
The role:
As a Data Analytics Engineer in Lyka’s Data team, you’ll be instrumental in enabling data driven decision-making across the business and uplifting our data capabilities. While you’ll partner closely with Analyst, this role will collaborate closely with Product and Engineering teams to build scalable data products, and empower teams with reliable, self-service access to data by building on the semantic layer.
This is a hands-on, high-impact role where you’ll bridge the gap between data engineering and analytics — enabling fast, trustworthy insights through well-modelled data, intuitive tools, and robust pipelines.
What you’ll do: