Senior Analytics Engineer

Mosh | Moshy; Sydney; Hybrid; AUD 150,000 - 210,000; Full time

Benefits offered by this job

On-demand training

Parental leave up to 16 weeks

Product discounts

Extra holiday leave

Mental health leave

Go1 access

EAP and wellbeing programs

Classpass credits

Dog-friendly office

Meaningful impact

Job summary

Mosh | Moshy is seeking a data analytics engineer to own the data behind marketing attribution and growth reporting. You will work closely with marketing, product, engineering, finance and operations to turn complex data into clear insights that drive decisions.

You’ll build robust dbt models and a Looker layer, define metrics, and establish governance to support scalable BI across the business. This role emphasizes hands-on delivery and cross-functional collaboration in a friendly, dog-friendly

Qualifications

• 5+ years in analytics engineering or data analytics in a tech or product-led business.
• Experience partnering with marketing teams on analytics products including attribution.
• Clear written and verbal communication; able to document practices for scale.
• Strong SQL and dbt experience; ability to deliver robust data models.
• Solid Looker/LookML experience and data transformation skills.
• Ability to turn raw data into actionable business insights.

Responsibilities

• Build and own the dbt models and Looker layer for marketing attribution and core reporting.
• Collaborate with Marketing, Product, Engineering, Finance and Ops to define success and drive decisions.
• Create clear data stories for non-technical stakeholders and connect findings to outcomes.
• Bridge data and engineering; ensure data reflects business processes and is scalable.
• Define metrics to track OKRs and document the data workflows and logic.
• Set governance standards for data handling, PII, access policies and DAG performance.
• Share knowledge to enable self-service across the team and stakeholders.

Skills

Analytics experience

Marketing analytics

Communication skills

Critical thinking

SQL & dbt

Looker LookML

Data modelling

Tools

Snowflake

Hevo

dbt

Looker

GitHub Actions

Job description

* Work flexibly under a hybrid model from Surry Hills

* Opportunities to advance your career as the company grows

* Impactful and rewarding role helping improve the health outcomes of Aussie men & women

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 matters and makes a difference. We’re pretty lucky this is the norm and not the exception for us.

You’ll join a small, senior data team and own the data that marketing and growth decisions at Mosh | Moshy rest on. That starts with the models behind our marketing attribution and growth reporting, and extends to working with product, engineering, finance, medical operations and customer support to define metrics and build the data they need. By keeping our pipelines and warehouses robust and performant, you’ll empower stakeholders to make timely, data‑informed decisions and ultimately help Aussies get the best health outcomes possible.

Everyone on the team works hands‑on, so you’ll build and own your own work. We want a builder: someone who spots what’s missing, proposes a fix and ships it. You don’t need to tick every box below. What matters most is that you’re solution oriented, careful with detail, and ask what the business needs before jumping into analysis.

What you’ll do

On a day to day basis you will:

• Build and own the dbt models and Looker (LookML) layer behind marketing attribution and our core acquisition, retention and revenue reporting.
• Work closely with our Marketing team, and alongside medical operations, product, customer support and finance, to define success for new initiatives and turn complex data into clear insights that drive decisions.
• Craft clear data stories for non‑technical stakeholders, from campaign performance to customer behaviour trends, and partner with leadership to frame the right questions and connect findings to business outcomes.
• Bridge data and engineering: work with product and engineering to deeply understand our platform and make sure the data reflects the essence of our business processes.
• Define the metrics that let us track our progress against OKRs and targets, and document each one: how the business process works and how the logic is built.
• Act as our subject matter expert in BI, setting high standards for well‑documented, well‑structured SQL and LookML models and educating business users on the data.
• Set data standards for governance, including PII and health data handling and group and role access policies, and keep DAG performance, cost and scalability in check.
• Share knowledge so the team and business users can rely on self‑service.

Experience you’ll bring

We’re looking for a builder who takes ownership of problems end to end and is comfortable with ambiguity. The ideal candidate will have:

• 5+ years in analytics engineering or data analytics, including time in a tech or product‑led business, with examples of work that changed a business decision
• Experience working with marketing teams on analytics products, including attribution. You think in terms of acquisition, retention and revenue, and a growth background is a plus
• Clear written and verbal communication: you simplify the complex for a diverse range of audiences, and your documentation habit lets best practice scale as the team grows
• Strong critical thinking: you turn raw data into meaningful recommendations, ask what the business needs before jumping into analysis, and spot which questions are worth answering, not just the ones asked
• Strong SQL and dbt experience. We work on Snowflake, Hevo, dbt, Looker and GitHub Actions, and experience with these tools is preferred
• Strong Looker and LookML experience
• Solid data modelling and transformation skills, and a systems view: you design for scale and anticipate edge cases

Experience that would be valuable

You don’t need to bring every one of these, but experience across any of the following would be highly regarded:

• Python and Jinja
• Machine learning or regression modelling
• Experience managing a data platform, including CI/CD, automated testing, orchestration and monitoring
• Experience in digital healthcare or telehealth
• Experience with highly regulated products

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 | Moshy 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 | Moshy products and services
• Two extra days of holiday leave each year
• Two days for purpose leave (Mental health or 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.