Senior Analytics Engineer
Sydney, New South Wales, Australia · Full Time
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- Experience
- 7+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 5 days ago
- Work mode
- In office
- Education
- Bachelor's degree or higher in Computer Science, Data Science, IT, or related field
- Resume
- Required to apply
Where you'll work
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Job description
About Tracksuit
Tracksuit is a fast-growing startup that offers innovative, affordable, and always-on brand tracking solutions based on real consumer feedback from tens of thousands of surveys monthly. We work closely with over 1,000 prominent brands in Australasia, the US, and the UK. Our international, close-knit team values diversity, transparency, and continuous learning, fostering a workplace where individuals can thrive and do their best work.
Role Overview
As a Senior Analytics Engineer at Tracksuit, you will be instrumental in developing and enhancing our internal analytics platform, which supports Product, Finance, and Go-to-Market teams across a global scale. Collaborating intensively with Data Engineers, Analysts, Software Engineers, Product Managers, and Operations staff, you'll play a pivotal role in delivering reliable and impactful data solutions. This position is based in our Sydney or Auckland office.
Key Responsibilities
- Collaborate with senior finance, GTM, and product stakeholders to understand business decisions and build effective data solutions.
- Communicate analytics outcomes clearly, focusing on impactful, trustworthy metrics.
- Ensure data quality, accuracy, and reliability across our analytics platform, setting organizational data standards.
- Manage and scale the core analytics infrastructure including Snowflake, dbt, and integrations with HubSpot, Subskribe, and product databases.
- Create self-service data products to empower teams to access insights independently and reduce ad hoc requests.
- Adapt to varied tasks including advanced data modeling, pipeline troubleshooting, mentoring junior staff, and providing cross-team support.
Candidate Profile
- Skilled at engaging senior non-technical stakeholders, clarifying needs, and delivering actionable insights.
- Focused on measurable impact driven by your analytics work rather than volume of output.
- Collaborative with a low ego, open to sharing early drafts and valuing correct solutions over personal credit.
- Prefers simplicity and robustness in data models, favoring established approaches over complexity.
- Thrives in an evolving, fast-paced startup environment with shifting priorities and unassigned tasks.
Essential Qualifications and Experience
- At least 7 years of experience in data roles with advanced SQL, dbt proficiency on Snowflake, and sound judgement in data modeling.
- End-to-end ownership of ELT pipelines and analytics infrastructure.
- Regular use of AI tools like Claude Code, Cursor, Copilot with the ability to critically assess their outputs.
- Bachelor's degree or higher in Computer Science, Data Science, IT, or a related analytical discipline, or equivalent hands-on experience.
Desirable Skills
- Experience modeling financial or GTM-related data such as revenue, retention, and sales pipeline.
- Background in B2B SaaS startups or scale-ups.
- Experience creating or contributing to semantic or metrics layers in data platforms.
Why Join Tracksuit?
- Highly competitive salaries with transparent compensation framework.
- Employee stock ownership plan offering equity participation.
- Generous benefits including 6 weeks paid leave, wellness bonuses, and top-tier employee assistance programs.
- Comprehensive parental support with 12 weeks paid leave and IVF support.
- Annual $1000 learning and development allowance and access to internal growth opportunities.
- Flexible work arrangements around office locations in Sydney, Auckland, NYC, and London.
- Recognition through multiple awards acknowledging company culture and workplace excellence.
- Pet-friendly office environment adding to a welcoming atmosphere.
Additional Information
We employ AI-assisted tools during hiring to support resume and application analysis; however, final decisions rest solely with human recruiters. If you seek more details on data handling, contact us.
This role involves significant responsibility in shaping the data capabilities of a dynamic, international company and offers genuine ownership and impact in analytics infrastructure development.
Level
Senior
Minimum education
Bachelor's Degree