What We Are Looking For
- Analytical Minds: Graduates with degrees in Computer Science, Web Development, Mathematics, Marketing Analytics, IT, or similar fields.
- Tech-Savvy: A basic understanding of web technologies (HTML, CSS, JavaScript) and an eagerness to learn how data layers and tracking pixels work.
- Data Enthusiasts: Familiarity with data investigation and analysis, using tools like Excel, Google Sheets, or SQL during university projects.
- Problem Solvers: A natural curiosity for figuring out how things work and troubleshooting technical issues.
Responsibilities
Analytics Implementation & Execution
- Support the implementation and configuration of Google Analytics 4 (GA4) and Google Tag Manager (GTM).
- Assist in setting up and testing marketing pixels (e.g., Meta, LinkedIn, TikTok).
- Learn to validate data layer integrity and troubleshoot tracking issues with guidance from senior team members.
Data Analysis & Reporting
- Extract and investigate data from GA4 to identify trends and potential data quality issues.
- Support Looker Studio and PowerBI dashboard users by investigating reporting discrepancies to identify underlying data or tracking issues.
- Use Excel to manipulate and analyse large datasets to support tracking validation.
Client Management & Strategy
- Shadow senior consultants on client calls to learn how to translate business objectives into tracking requirements.
- Assist in preparing clear documentation and presentations for clients.
- Stay up-to-date with the latest tracking trends and share your learnings with the team.
Qualifications & Skills
Experience
- Recent graduate or junior professional with a strong interest in digital analytics.
- Prior exposure to GA4, GTM, or marketing platforms (including personal projects, university courses, or internships) is a significant bonus.
Technical Skills
- Foundational knowledge of web development (HTML, CSS, basic JavaScript).
- Strong proficiency in Excel or Google Sheets for data manipulation and investigation.
- A basic understanding of databases or SQL is highly advantageous for data quality validation.
- Awareness of data privacy regulations (like GDPR) is a plus.
Soft Skills
- Excellent written and verbal communication skills.
- Exceptional attention to detail and a commitment to data accuracy.
- Proactive attitude and a strong willingness to learn and adapt quickly in a fast-paced environment.