Senior Analytics Engineer

Mosh

. Build and own dbt models and the Looker (LookML) layer for marketing attribution and acquisition, retention and revenue reporting .

Posted 11/5/2026full-timeSurry Hills • AustraliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analytics engineering with a strong focus on SQL, dbt, and Looker for marketing attribution and reporting. Capable of translating complex data into actionable insights while ensuring data governance and compliance in regulated environments.

Highest-signal resume keywords

SQL ExpertiseDbt Model DevelopmentLooker and LookML ProficiencyData Governance StandardsAnalytics Engineering Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLDbtLookerLookMLData ModellingData TransformationPythonJinjaMachine LearningRegression Modelling

Soft Skills

Clear CommunicationCritical Thinking

Tools & Technologies

SnowflakeHevoGitHub Actions

Industry Keywords

Digital HealthcareTelehealthRegulated ProductsMarketing AnalyticsAcquisition AnalyticsRetention AnalyticsRevenue Analytics

Tech Stack

Tools & technologies

PythonSnowflakeSQL

About the role

Key responsibilities & impact

Build and own dbt models and the Looker (LookML) layer for marketing attribution and acquisition, retention and revenue reporting
Work with Marketing, medical operations, product, customer support and finance to define success for initiatives and turn complex data into insights
Create data stories for non-technical stakeholders on campaign performance and customer behaviour trends
Partner with leadership to frame questions and connect findings to business outcomes
Work with product and engineering to understand the platform and align data with business processes
Define and document metrics for OKRs and targets, including business-process and logic documentation
Act as the BI subject matter expert and maintain standards for SQL and LookML models
Educate business users on data and support self-service analytics
Set data governance standards for PII and health data handling, group and role access policies
Monitor DAG performance, cost and scalability
Share knowledge with the team and business users

Requirements

What you’ll need

5+ years in analytics engineering or data analytics, including time in a tech or product-led business
Experience with work that changed a business decision
Experience working with marketing teams on analytics products, including attribution
Understanding of acquisition, retention and revenue analytics
Clear written and verbal communication
Strong critical thinking
Strong SQL and dbt experience
Experience with Snowflake, Hevo, dbt, Looker and GitHub Actions preferred
Strong Looker and LookML experience
Solid data modelling and transformation skills
Systems-oriented approach, designing for scale and anticipating edge cases
Python and Jinja experience highly regarded
Machine learning or regression modelling experience highly regarded
Experience managing a data platform, including CI/CD, automated testing, orchestration and monitoring, highly regarded
Experience in digital healthcare or telehealth highly regarded
Experience with highly regulated products highly regarded

Benefits

Comp & perks

Opportunities to advance your career as the company grows
Access to on-demand training
Up to 16 weeks of paid parental leave
Discounts on 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
Dog friendly office
Hybrid working model from Surry Hills