Senior Marketing Analyst

Role overview

Marketing partnership and analytics

• Turn business questions into analytical approaches and recommendations with lifecycle, digital, consumer and product stakeholders.
• Analyse audience and member behaviour across acquisition, engagement, conversion and retention to find campaign opportunities.
• Manage requests from discovery and requirements gathering through prioritisation, delivery, follow-up and improvement.
• Provide data and measurement advice and explain complex analysis in plain English.

Reporting and data quality

• Own lifecycle reporting for KPIs, OKRs, member engagement and campaigns; create and improve Tableau dashboards and other reporting outputs.
• Provide weekly, monthly and quarterly reporting, performance packs, KPI updates, presentations and Board materials when needed.
• Explain performance trends and drivers and recommend next actions.
• Perform attribution and campaign analysis; investigate data-quality issues through reconciliation, validation, backfills and discrepancy analysis.
• Identify gaps in marketing data capture and work with data teams on practical improvements; maintain reusable query logic, data assets, documentation and processes.

Measurement and operations

• Support campaign experimentation and measurement, including send volumes, click-through rate, conversion, opt-in and opt-out behaviour, and attribution.
• Contribute to marketing mix modelling with Mutinex and Meridian, including analysis, interpretation and practical Meridian code work where appropriate.
• Contribute to enterprise OKR forecasting, target-setting and in-year performance updates.
• Support production data operations by maintaining Breeze jobs, responding to alerts and validating fixes; work safely with Airflow, PagerDuty, Buildkite, Git and pull requests.
• Help simplify and improve analytics processes and ensure data is reliable and usable downstream.

Essential capabilities

• Intermediate to advanced SQL and experience with BigQuery.
• Analytics experience investigating complex questions, identifying patterns and recommending practical actions.
• Experience owning reporting and dashboards, with strong BI capability; Tableau is preferred.
• Strong data validation and quality investigation, including reconciliation, error identification, cleansing and definition checks.
• At least two years' hands-on experience in a senior analytics-support role, troubleshooting complex issues and making recommendations.
• Advanced Excel, attention to detail, stakeholder management, business partnering, requirements gathering, prioritisation and follow-through.
• Ability to explain data insights in plain English and work productively in a fast-paced agile environment.

Desired capabilities

• Marketing or lifecycle analytics, audience and member analysis, segmentation, personalisation, engagement, retention, conversion and property-journey experience.
• Experience with experimentation, campaign measurement, digital analytics tools such as Adobe Analytics or Google Analytics, and advertising platforms.
• Understanding of digital marketing channels including SEM/PPC, social, SEO, above-the-line and below-the-line channels.
• Marketing mix modelling or forecasting methods such as SARIMA or Prophet; any level of Python is desirable.
• Familiarity with production data operations tools and REA's data landscape, including Snowplow and listings data.
• Documentation and knowledge-sharing practices that leave reusable queries, clear definitions and processes.

Location and work arrangement

• The role is Melbourne-based and the employer describes its working approach as hybrid and flexible.

Benefits

• The employer advertises flexible leave and parental leave, volunteering and community programs, and opportunities to learn and develop.