Senior Analytics Engineer — Surry Hills, Sydney

Expired

G’day, we’re Mosh Our mission is to get Aussies the best possible health outcomes through best-in-class health programs. We know the current healthcare system isn’t meeting the needs of the modern Australian, and we believe there’s a better, more holistic way. Our solutions for hair loss, sexual health, skin care, mental health, and weight management are easy, affordable, and completely discreet. More than a job There’s nothing better than the feeling that what you’re doing truly matters. At Mosh, that sense of impact is part of our daily life. You’ll partner with teams across the company—product, design, engineering, finance, medical operations, and customer support—to build and maintain the data platform that drives our insight generation. By ensuring our pipelines and warehouses are robust and performant, you’ll empower stakeholders to make timely, data-informed decisions and ultimately help Aussies get the best health outcomes possible. We know Analytics Engineering can capture a wide range of skillsets. You don’t need to tick all the boxes here. Whether you’re more analytics than Engineering or more Engineering than Analytics, we’d love to hear from you. What matters most to us, is that you’re solution oriented with a keen eye for attention to detail. What you’ll do ● Provide Technical Leadership & Collaboration with your Team ○ Collaborate with medical operations, product management, customer and finance teams to define success for new initiatives and translate complex technical details into meaningful insights that drive decision-making. ○ Bridge Data and Engineering, working cross-functionally to deeply understand our platform, ensuring data reflects the essence of our business processes. ○ Guide and mentor team members, fostering a data-driven culture and elevating the entire organization’s data literacy, including mentorship of Analysts through the intricacies of data. ● Own and Enable Analytics at Mosh ○ Lead the way in defining metrics that allow us to track our progress against OKRs/Targets. ○ Guide as a Subject Matter Expert in BI, producing well documented models in Looker and paving the way by educating business users on the data. ● Promoting Excellence in Data Modelling ○ Champion excellence by setting high standards in all practices, including documentation both conceptual (how does the business process work) and technical (how does the logic work) - with well structured SQL/LookML models that meet business needs. ● Lead best practices across Data in areas such as: ○ Data Governance - PII management, Group/Role access policies ○ Lineage - DAG performance/cost optimisation and ensuring scalability ○ Knowledge sharing - guiding the team through the intricacies for reliable self-service ● Enhance the Modern Data Stack & ELT Practices ○ Play a key role in building a robust Analytics Engineering workflow, implementing modern ELT practices with github CI/CD automation. This includes: Designing and optimising our transformation pipelines, ensuring modularity and maintainability of our data modelling architecture. Setting the standard applying Kimball methodologies with dimensional models that support optimised performance for the data warehouse (Redshift/Snowflake). Promoting data observability/data quality testing to elevate trust in our analytics environment. Experience you’ll bring & traits you’ll have ● 4 years in Data Analytics/Data Engineering/Analytics Engineering ○ Proven success in one of these roles prior, ideally in a tech environment, with demonstrable impact on company performance ○ Experience with dbt preferred Redshift/Snowflake for warehousing ● Strong ELT proficiency ○ Expertise in SQL is a must. Proficiency with Python/Jinja will be well regarded ○ Familiarity with customer data orchestration is a plus ● Data & analytics modelling proficiency ○ Strong expertise in data transformation ○ Experience with BI tools is nice to have ○ Strong proficiency with Looker will be well regarded ○ A passion for solving problems via data insights, with the critical thinking skills to convert raw data into meaningful recommendations ● Systems thinking ○ You excel at seeing the big picture, designing resilient data architectures, and anticipating edge cases and future needs ● Clear communication ○ Clear written and verbal communication skills ○ Adept at simplifying the complex and translating to a diverse range of audiences ○ A strong documentation mindset to standardise best practice as our team scales ● Background in Machine Learning/Regression Modelling (nice to have) ○ We are on the path to developing a data platform that enables our next generation of insights, and having hands on experience as we get there is a bonus ● Data Warehousing Experience ○ Comfort with warehouse tuning and DAG management ○ Experience with deployment of warehousing solutions (nice to have) What’s on offer We hire teammates that share our values, believe in our mission and are passionate about the future of healthcare. Some of the reasons our team loves Mosh include: Lots of opportunity to learn and grow with the company with access to on-demand training Access to up to 16 weeks of paid parental leave Discounts on a range of Mosh products and services Two extra days of holiday leave each year Two days for purpose leave ( Mental health and L&D) Full access to Go1 eLearning platform EAP and access to online wellbeing programs Classpass credits Working with a creative, friendly and collaborative bunch in a dog friendly office Making a real, positive impact on the lives of others Better, together Everyone is different and we think that’s what makes life interesting. We believe these differences create new ideas, offer unique perspectives and speak on behalf of all of our customers. If you think you have what it takes but don't check all the boxes, reach out anyway - we’d love to hear from you. P.S. We love a good cover letter. The more you, the better.