Marketing Analyst

About the role

Sysridge Technologies is expanding its international analytics capability and seeks a Marketing Analyst to support data‑driven growth initiatives targeting the Australian market. Reporting to the regional marketing lead, you will combine digital analytics, campaign measurement, market research and cross‑functional collaboration to turn data into actionable recommendations.

Key responsibilities

• Develop and maintain dashboards and regular reports on campaign performance, website behavior, acquisition channels and funnel metrics.
• Perform cohort, attribution and A/B test analyses to identify high‑impact optimizations across paid, organic and email channels.
• Translate quantitative insights into clear recommendations for marketing, product and sales teams to increase conversion rates and reduce customer acquisition cost.
• Conduct market and competitor research focused on the Australian IT services landscape to inform positioning and messaging.
• Collaborate with digital marketing and engineering to implement tracking, tag management and data‑quality improvements.
• Support forecasting and ROI analysis for campaign planning and budget allocation.

Required profile

• Hands‑on experience with web and product analytics tools such as Google Analytics 4, Mixpanel or Adobe Analytics.
• Strong SQL proficiency for data extraction and cohort analysis.
• Practical knowledge of tag management (e.g., Google Tag Manager), event tracking implementation and data‑layer design.
• Experience building dashboards in BI tools like Looker, Tableau or Power BI and presenting insights to non‑technical stakeholders.
• Solid understanding of digital marketing channels, performance metrics and attribution models.
• Ability to design and analyse A/B tests and calculate statistical significance.
• Preferred certification in digital analytics or BI tools and experience working in cross‑functional Agile teams.

Required skills

• Google Analytics 4
• Mixpanel
• Adobe Analytics
• SQL
• Google Tag Manager
• Data‑layer design
• Looker
• Tableau
• Power BI
• A/B testing
• Statistical significance calculation