Senior Data Analytics Engineer - Marketing - Remote

Overview

Employment Hero is on a mission to make employment easier and more valuable for everyone. Our Employment Operating System brings hiring, HR, payroll and benefits into an all-in-one solution.

Since our inception in 2014, we've scaled to a $2 billion valuation and gained a presence in 6 countries globally - Australia, New Zealand, Singapore, Malaysia, the UK and Canada. We now service over 400,000 businesses and more than 3 million employees.

In Short

• Build and manage data pipelines to integrate marketing and CRM data into a single source of truth.
• Resolve integration challenges across multiple marketing platforms, tools, and systems.
• Simplify complex, cross-channel reporting to support faster, smarter decision-making.
• Break down MarTech data silos to uncover end-to-end customer and campaign insights.
• Design and optimise predictive lead scoring models using behavioural, demographic, and firmographic data.
• Analyse and improve MQL quality by creating data views that highlight fit, intent, and downstream performance.
• Develop intent models based on user behaviour to power audience segmentation and personalised campaigns.
• Implement advanced attribution and media mix modelling to fine-tune ad spend and boost ROI.
• Build smart dashboards and reports that deliver clear, actionable insights to marketing and sales teams.
• Partner with Marketing to define and track candidate quality metrics across all channels, supporting long-term engagement and re-engagement strategies.

Requirements

• Proficiency in SQL and relational databases.
• Experience with data pipeline development and ETL processes.
• Familiarity with visualization tools (e.g., Tableau, Looker Studio).
• Solid understanding of statistical modeling and machine learning techniques.
• Expertise in Martech platforms (e.g., CRM, automation, advertising).
• Strong grasp of Webtech (GA4, GTM, conversion event tracking).
• Understanding of GTM data layer configuration and conversion tracking.
• Bachelor’s or Master’s degree in data science, statistics, or a related field.
• Strong analytical, communication, and problem-solving skills.
• Knowledge of marketing attribution methods and campaign measurement.

Benefits

• You will work remotely, with the flexibility to own your time and impact.
• You will access cutting-edge tools to amplify your work, knowledge and outputs.
• You'll surround yourself with ambitious, outcome-driven colleagues who challenge you to do the best work of your life.
• You'll own ESOP (employee share options) in one of the world's fastest-growing tech companies.
• You'll also have access to a wide range of benefits that includes: a very generous paternity leave policy, subsidised egg freezing, a WFH office expense budget, and outstanding learning & development opportunities.