We are committed to promoting a diverse and inclusive workplace - a place where we can each be ourselves and do the best work of our lives. At Tracksuit we consider a unique perspective, diverse experience and a growth mindset to be of greater value than ticking every box on a JD. If you think you have what it takes but don’t have the exact experience we’ve set out, please still get in touch and apply. We’d love to chat!
At Tracksuit we provide beautiful, radically affordable, always-on brand tracking which is easy to use compared to traditional methods. We recognise that sounds like a ton of buzzwords for marketers, so what it really means is that we did over tens of thousands of surveys last month to find out what real humans think and feel about the world’s best brands and their competitors. Check us out here 🙌
Are you our new Senior Analytics Engineer?
At Tracksuit, data isn't a back office function. It's the backbone of every decision we make. In this role you'll be the analytical engine behind our business operations teams: owning the analytics layer that turns subscription, billing, customer and product usage data into clean, well modelled, trustworthy data products that drive everything from revenue reporting and forecasting to understanding how our customers succeed with our product.
You'll sit at the intersection of analytics engineering and analysis. You're equally comfortable architecting dbt models on Snowflake as you are partnering with a business lead to define a metric correctly, or crafting a dashboard that tells a compelling story. You'll work closely with teams across business operations and senior leadership, with room to expand your remit as Tracksuit scales globally.
Within the Analytics team you'll work side by side with our Senior Data Engineer, who leads the platform that moves and stores our data. Together you'll share ownership of our dbt models, with you leading what the business actually sees and uses: the business facing models, the metrics and the insights.
👉 This role can be based in either our Sydney or Auckland office.
What you'll be responsible for:
- Owning analytics for business operations. Partnering closely with teams like Finance and Customer Success to understand their most important questions, then delivering reliable, timely insight on revenue, ARR, churn, retention, customer health and engagement
- Building and maintaining data models in dbt. Designing clean, well tested transformation logic on Snowflake that powers reporting across the business, from subscription and billing data through to customer usage patterns
- Modelling business data correctly. Building dimensional and slowly changing dimension (SCD2) models so that revenue and churn metrics are point in time accurate, not just current state snapshots
- Building self service data products. Trusted dashboards and well documented marts that give business teams instant, accurate access to the metrics they rely on, reducing ad hoc requests
- Acting as a data quality champion. Owning accuracy, reliability and testing across your domains, and working with our Senior Data Engineer to ensure clean data flows from source systems (HubSpot, Subskribe, Vitally and our product database)
- Proactively surfacing insight. Spotting trends, anomalies and opportunities before they're asked for, and presenting clear recommendations to senior stakeholders
- Setting standards. Translating ambiguous business problems into well modelled, trustworthy data, establishing robust analytics engineering practices and mentoring others as our data capability grows
That's the role. Who are you?
- 5+ years in analytics engineering, data analytics or BI, ideally in B2B SaaS
- Advanced SQL and dbt. You write clean, well tested transformation logic and understand the difference between a loose set of dbt models and a true, well layered set of marts or semantic layer
- Strong dimensional modelling instincts. You know when to apply Kimball or star schemas, SCD2, or a simpler normalised approach. You model state over time correctly and care about making data trustworthy and interpretable, not just queryable
- Snowflake as a primary warehouse (or equivalent cloud warehouse)
- Analyst instincts. You can frame an ambiguous business question, run the analysis and tell the story, not just build the pipeline
- BI tool expertise. You think about the end user when you design a dashboard
- Fluency with AI tools. You use tools like Claude Code, Cursor or Copilot as part of your daily workflow, with the judgement to verify what they produce
- Exceptional communication. You translate complex data into clear, actionable narratives for business leads and executives alike
- A bias for proactivity. You spot questions before others do, follow through with rigour and care about the downstream business impact of your work
- Experience partnering directly with business operations teams such as Finance or Customer Success. You understand the metrics and data they actually need to do their jobs
- Familiarity with our source systems: HubSpot, Subskribe, Vitally
- Experience building or contributing to a semantic or metrics layer
- BI tooling such as Sigma (or Looker, Mode or similar)
- Python or R for more complex analysis or automation
Nice to have:
Why join us at Tracksuit?
Tracksuit is one of Australasia's fastest growing startups, and at just under 5 years old, we're already partnering with 1,000+ amazing brands across NZ, AU, the US and UK including MyFitnessPal, Steve Madden, Bondi Sands, Athletic Brewing and many more.
We're building the common language for brand, and we're doing it with a globally distributed, tight knit and ambitious team. We're all about transparency, trust, learning and building something we're proud of.
🐾 FYI: We're pet friendly in principle and practice, with the occasional four legged visitor adding to the charm, not the chaos.
Here's a few things we think make Tracksuit a great place to work:
⦿ Compensation: Competitive market rate salaries. We've also got a fully transparent compensation framework, so everything's out in the open.
⦿ Equity: Every Trackstar gets a slice of the pie through our ESOP program.
⦿ Wellbeing perks: 6 weeks paid leave, an annual wellness bonus and access to top tier EAP services.
⦿ Parental support: 12 weeks paid parental leave for all parents, extra support for IVF and a phased return to work.
⦿ L&D budget: $1000 per year to spend on your own learning and development, plus heaps of internal opportunities for growth.
⦿ Flex where it counts: We're office first, with stunning hubs in Auckland, NYC, London and Sydney, and we support flexibility in how you manage your time.
But don't take our word for it! You'll be joining the:
- Mumbrella Marketing Company of the Year 2022
- HRD Employer of Choice <200 Staff 2024
- NZ Hi Tech Awards, Emerging Company of the Year 2024
- AFR Best Place to Work Media and Marketing (4th place) 2024
👉 This is a high impact role at the intersection of analytics engineering, business partnership and insight generation. It's ideal for a senior analytics engineer who wants real ownership of the data models and metrics that keep a fast growing global company making good decisions. Come be part of a team known for high standards, technical rigour and genuinely caring about the downstream impact of the data we build.
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