Work flexibly under a hybrid model from Surry HillsOpportunities to advance your career as the company growsImpactful and rewarding role helping improve the health outcomes of Aussie men & womenG’day, we’re MoshOur 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 jobThere’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. In this role, you will promote the understanding and use of data to inform product development, go-to-market model/s, and lead the scaling of our data function.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.Key Responsibilities:Provide Technical Leadership & Collaboration with your TeamLead the collaborative efforts with medical operations, product management, customer and finance teams and define the success for new initiatives, translating 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 analytics engineers and analysts through the intricacies of data.Own and Enable Analytics at MoshLead 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 ModellingChampion 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 policiesLineage - DAG performance/cost optimisation and ensuring scalabilityKnowledge sharing - guiding the team through the intricacies for reliable self-serviceEnhance the Modern Data Stack & ELT PracticesLead the definition and build of robust Analytics Engineering workflows, 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 by 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.Qualifications and/or Experience Required:6+ years in Data Analytics/Data Engineering/Analytics EngineeringProven success as a data leader within a mid-sized company prior, with demonstrable impact on company performanceExperience with dbt preferred + Redshift/Snowflake for warehousingStrong ELT proficiencyExpertise in SQL is a must. Proficiency with Python/Jinja will be well regardedExpertise in customer data orchestrationData & analytics modelling proficiencyStrong expertise in data transformationStrong experience with BI tools (both in setup & as a hands-on contributor)Strong proficiency with Looker will be well regardedA passion for solving problems via data insights, with the critical thinking skills to convert raw data into meaningful recommendationsSystems thinkingYou excel at seeing the big picture, designing resilient data architectures, and anticipating edge cases and future needsClear communicationExcellent written and verbal communication skillsAdept at simplifying the complex and translating to a diverse range of audiencesA strong documentation mindset to standardise best practice as our team scalesThe ability to talk directly with leadership to advocate for the data team’s needsBackground in Machine Learning/Regression ModellingWe 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 bonusData Warehousing ExpertiseComfort with warehouse tuning and DAG managementExperience with deployment of warehousing solutionsWhat’s on offerWe 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 trainingAccess to up to 16 weeks of paid parental leaveDiscounts on a range of Mosh products and servicesTwo extra days of holiday leave each yearTwo days for purpose leave (Mental health and L&D)Full access to Go1 eLearning platformEAP and access to online wellbeing programsClassPass creditsWorking with a creative, friendly and collaborative bunch in a dog-friendly officeMaking a real, positive impact on the lives of othersBetter, togetherEveryone 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.
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