Senior Marketing Analyst

About the Company

Responsibilities

• ● k with Mutinex and Meridian, opportunities to work with SaaS MMM solutions and practical exposure to Meridian code, as well as contributing to forecasting for enterprise OKRs.
• ● he three core focus areas are:
• ● Lifecycle marketing analytics and reporting
• ● Marketing mix modelling
• ● Regular contribution to enterprise forecasting and target-setting throughout the financial year
• ● Partner with marketing to drive growth
• ● Work with lifecycle, digital, consumer and product stakeholders to turn business questions into clear analytical approaches and actionable recommendations.
• ● Analyse audience and member behaviour across acquisition, engagement, conversion and retention to identify opportunities for campaign creation and optimisation.
• ● Be a trusted thought partner on the use of data and measurement across the marketing function, translating complex analysis into plain English for a range of audiences.
• ● Manage requests from discovery and requirements gathering through prioritisation, delivery, follow-up and continuous improvement.
• ● Own reporting, dashboards and insight storytelling
• ● Own the lifecycle marketing reporting capability, ensuring KPI, OKR, member-engagement and campaign reporting remains accurate, useful and fit for purpose.
• ● Create, maintain and improve Tableau dashboards and other reporting outputs used by consumer lifecycle marketing.
• ● Provide weekly, monthly and quarterly performance reporting, including audience-performance packs, KPI updates, presentations and Board materials where required.
• ● Lead the story behind the numbers: identify emerging trends, explain the drivers of performance and communicate what the business should do next.
• ● Make data trustworthy and usable
• ● Perform attribution and campaign analysis, including last-touch and other relevant attribution approaches, in partnership with stakeholders and data teams.
• ● Investigate and resolve data-quality issues through reconciliation, definition checks, pipeline validation, backfills and analysis of schema, timestamp, freshness and other discrepancies.
• ● Identify gaps in marketing data capture and work collaboratively with data teams to implement practical enhancements.
• ● Maintain reusable query logic, data assets, documentation and processes so that knowledge and outputs remain valuable beyond the immediate analysis.

Requirements

• ● Intermediate to advanced SQL skills; this is core to the role, along with experience working in BigQuery.
• ● Demonstrated experience in analytics, with the ability to investigate complex questions, identify meaningful patterns and make practical recommendations.
• ● Strong data-validation and quality-investigation skills, with a disciplined approach to reconciliation, error identification, cleansing and definition checks.
• ● At least two years' experience in a hands-on senior analytics-support role, including troubleshooting complex issues and making recommendations.
• ● Advanced Excel skills and strong attention to detail.
• ● Strong stakeholder-management and business-partnering skills, including requirements gathering, prioritisation and follow-through.
• ● The ability to translate data into clear, plain-English insights for audiences at different levels.
• ● Comfort working productively in a fast-paced, agile environment.
• ● Highly desired capabilities
• ● Strong audience and member analysis skills, including investigating changes in engagement, retention, campaign performance and key member metrics.
• ● A strong understanding of digital marketing across SEM/PPC, social and SEO, plus broader above-the-line and below-the-line channels.
• ● Any level of Python, plus familiarity with production data operations such as Breeze jobs, Airflow, PagerDuty, Buildkite, Git and pull requests.
• ● Familiarity with REA's data landscape, including Snowplow and listings data, and the reporting, analytical, product and model layers built on top of them.
• ● A mindset for documentation and knowledge-sharing: leaving behind reusable queries, clear definitions and processes that help the team move faster.
• ● Why this role
• ● This is an opportunity to do work that is both technically challenging and visibly connected to business outcomes.
• ● You will have the autonomy to investigate, challenge and improve how REA measures audience growth, while working closely with experienced marketing, data and modelling teams.
• ● If you enjoy finding the signal in complex data-and turning it into action-this secondment will give you a platform to make a real impact and broaden your analytics toolkit
• ● The REA experience
• ● The physical, mental, emotional and financial health of our people is something we'll never stop caring about. This is a place to learn and grow.