Salmon Group Ltd logo

Data Analyst (Growth)

Salmon Group Ltd
Department:Performance Marketing
Type:REMOTE
Region:Australia
Location:Other Side Of The Moon, Australia
Experience:Entry level
Estimated Salary:A$70,000 - A$100,000
Skills:
SQLA/B TESTINGSTATISTICSDATA ANALYSISMARKETING ANALYTICSATTRIBUTION MODELINGBI TOOLSDATA WAREHOUSINGEXPERIMENTATIONFORECASTING
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Job Description

Posted on: March 19, 2026

The Growth team at Salmon is looking for a strong Product Analyst (Marketing Analytics) to take analytical ownership over our key marketing growth directions - especially online acquisition and channel performance.

Your work will directly impact how we scale growth: accelerating experimentation cycles, improving budget allocation, and turning attribution and acquisition efficiency insights into clear product and marketing decisions. From designing robust A/B tests and building scalable measurement frameworks to strengthening attribution models and forecasting across products, you’ll help create the analytical backbone behind our growth engine.

This is a hands-on role at the intersection of marketing analytics, experimentation, and strategic planning - ideal for someone who combines solid statistical rigor with business thinking, and wants to move analytics from reactive support to proactive, measurable impact on acquisition and revenue.

In the first 3 months, you will ramp up on the acquisition funnel, unit economics, and key channels, take ownership of core marketing metrics and reporting, ensure proper experiment measurement, and start structuring attribution while identifying and resolving data gaps with stakeholders.

Within 6–9 months, you will independently own analytics for your growth direction - driving experimentation, attribution, forecasting, and budget decisions - while proactively generating growth hypotheses, improving measurement frameworks (including incrementality where relevant), and acting as a trusted analytical partner to Growth leadership.

Key Responsibilities

  • Own marketing analytics for the assigned directions, acting as the primary analytical partner for Growth/Marketing.
  • Analyze acquisition efficiency (CAC/CPA/ROAS/LTV and unit economics) and provide actionable recommendations.
  • Design, run, and evaluate experiments (A/B tests and advanced methods); clearly communicate results, risks, and next steps.
  • Measure and improve attribution for acquisition channels; ensure definitions and logic are consistent and trusted.
  • Support cross-product budget planning and sales forecasting; help connect spend → performance → revenue outcomes.
  • Ensure correct tracking, attribution, and data quality; proactively identify and resolve data gaps/inconsistencies.
  • Collaborate closely with the DWH team to build a convenient, consistent marketing data model enabling reliable analysis.
  • Build and maintain dashboards and self-service reporting for marketing and business stakeholders.
  • Translate business questions into analytical tasks and drive decision-making—not just produce reports.
  • Take responsibility for outcomes within the owned scope, not only for delivering analysis.

Requirements And Expectations

  • 2+ years of experience as a Product Analyst / Marketing Analyst / Data Analyst in a product-driven environment.
  • Strong understanding of marketing and growth metrics, funnels, and unit economics.
  • Strong foundation in probability/statistics and/or hands-on experience with advanced A/B testing methods.
  • Experience with acquisition analytics, budget effectiveness analysis, and channel performance evaluation.
  • Experience with attribution concepts and measurement across product + marketing flows.
  • Familiarity with causal inference methods (or strong interest + ability to apply them) for incrementality / media campaign analysis.
  • Solid SQL skills; ability to work independently with large datasets.
  • Experience building dashboards and reports (any BI tool).
  • Ability to collaborate with DWH/engineering teams to improve data models and analytical tooling.
  • Ability to translate business questions into analytical tasks and actionable insights.
Originally posted on LinkedIn

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