Tracksuit

Engineering

SeniorAnalyticsEngineer

A$138–208k Sydney, New South Wales, Australia FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Analytics Engineer at Tracksuit. Skills: Analytics engineering, Data modelling, dbt, Snowflake. Own analytics for business operations. Partner with Finance”

Industry & Context.

Engineering
Problems you'll solve

Frame ambiguous business questions; Run analysis; Tell the story

What They're Looking For.

Must Have

5+ years in analytics engineering, Advanced SQL, dbt proficiency, Snowflake warehouse experience, Analyst instincts, BI tool expertise, Fluency with AI tools

Nice to Have

Experience partnering with business operations, Familiarity with HubSpot, Familiarity with Subskribe, Familiarity with Vitally, Experience building semantic layer, Experience building metrics layer, Sigma BI tooling experience, Looker BI tooling experience, Mode BI tooling experience, Python for analysis, R for analysis

What You'll Do.

Own analytics for business operations

Partner with Customer Success

Deliver reliable insight on revenue

Deliver timely insight on ARR

Deliver insight on churn

Deliver insight on retention

Deliver insight on customer health

Deliver insight on engagement

Build data models in dbt

Maintain data models in dbt

Design transformation logic on Snowflake

Test transformation logic on Snowflake

Model business data correctly

Build dimensional models

Build slowly changing dimension models

Build self service data products

Build trusted dashboards

Build well documented marts

Ensure clean data flows

Proactively surface insight

Present clear recommendations

Translate business problems into data

Establish analytics engineering practices

How You'll Work.

Team & Collaboration

Work with Data Engineers; Work with Data Analysts; Work with Software Engineers; Work with Product Managers; Work with Operations colleagues; Collaborate with business leads; Collaborate with executives

Communication Scope

Actionable narratives; Clear recommendations

Full Job Description

## Description 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 Data Engineer? At Tracksuit, data isn't a back-office function — it's the backbone of every decision we make. In this role, you'll build and evolve the internal analytics platform that powers our Product, Finance, and GTM teams (Customer Success, Sales, and Marketing) across our growing global organisation. You'll work closely with Data Engineers, Data Analysts, Software Engineers, Product Managers, and Operations colleagues across our international offices, shaping the quality and strategic direction of our internal data capabilities at scale. 👉 Please note: This role can be based in either our Auckland or Sydney 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

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