Digital Tagging Analyst - Web Analytics & Tagging (AU Retail, Hybrid)

As a Digital Tagging Analyst at ConnectOS, your primary responsibilities include supporting the Digital Tagging Manager in implementing tagging governance and accurately reporting on campaigns. You will collaborate with digital marketing teams to ensure personalized and effective campaign delivery, manage audience creation, and contribute to post-campaign analysis. Additionally, you'll assist in integrating digital tagging with the company's data warehouse and support ad-hoc reporting requests, which are critical for business insights.

To be a successful Digital Tagging Analyst at ConnectOS, candidates should possess 3-4 years of experience with a strong focus on digital data. Proficiency in web analytics and tagging tools such as Adobe Analytics and Google Tag Manager is essential. Experience with data analysis using Excel and SQL, as well as familiarity with business intelligence tools like PowerBI or Tableau is necessary. Additionally, a solid understanding of digital marketing concepts is crucial for effectively contributing to the team.

ConnectOS offers an attractive package of benefits for the Digital Tagging Analyst role. These include a competitive salary, medical and dental coverage from day one, paid vacation and sick leave, financial assistance programs, and complimentary office amenities like sleeping quarters and fitness facilities. You will also enjoy a hybrid work setup and numerous opportunities for professional growth and participation in regular company events.

A Digital Tagging Analyst at ConnectOS plays a crucial role in supporting marketing efforts by ensuring accurate data collection through effective tagging governance. By creating and managing audience segments and control groups, the analyst helps improve campaign targeting and measurement. This direct involvement in data-driven decision-making not only enhances the effectiveness of marketing campaigns but also contributes significantly to business growth.

SQL and Excel skills are pivotal in the Digital Tagging Analyst role at ConnectOS as they enable effective data analysis and reporting. Proficiency in SQL facilitates the building of complex queries to extract and segment customer data from the database, essential for targeted campaigns. Meanwhile, Excel offers advanced data manipulation capabilities that help streamline reporting processes and improve the accuracy of business insights, ultimately driving better decision-making.

When answering this question, discuss your hands-on experience with digital tagging tools like Adobe Analytics and Google Tag Manager. Highlight specific projects where you implemented tagging strategies, ensuring you mention the outcomes or improvements achieved. Emphasize your proficiency with GA4 if applicable, and reinforce your understanding of data accuracy and its importance to marketing effectiveness.

Outline your approach to prioritization by describing how you assess project deadlines and impact. Discuss tools you may use, such as Jira or Monday.com, to manage your workflow. Share any personal strategies like creating a priority matrix or regular check-ins with stakeholders to ensure alignment and timely delivery of project milestones.

Clarify your analytical mindset. Mention specific techniques you use for data analysis, such as A/B testing or cohort analysis. Explain how you interpret data trends and make actionable recommendations based on your findings, citing examples from your past experience that led to successful project outcomes.

When responding, narrate a specific challenge you faced in a previous role, detailing the project objectives. Discuss the steps you took to address the issues and highlight your problem-solving skills. Emphasize any collaboration with teammates or tools you used that facilitated overcoming the challenge and ensured project success.

In answering this question, detail your processes for maintaining data integrity, including regular audits of tagging implementations and cross-verifying data collected using different analytics platforms. Share how you keep up with best practices and standards in digital analytics and explain the importance of accurate data for campaign measurement and business decisions.

Explain how you tailor your communication style to match your audience. Provide examples of how you've simplified complex data insights into easily understandable formats, such as visual presentations or infographics. Discuss the importance of storytelling with data and how you engage stakeholders in meaningful conversations about performance metrics.

Discuss your experience with Business Intelligence tools. Describe specific instances where you've utilized PowerBI or Tableau for visualization or reporting, highlighting the impact of your insights on business decisions. If you haven’t used these tools extensively, express your willingness and ability to learn them quickly.

Emphasize your understanding of vital e-commerce metrics such as conversion rates, customer acquisition costs, and attribution models. Discuss how this knowledge informs your analytics initiatives, allowing you to provide insights that directly influence marketing strategies and enhance overall business performance.

Describe your enthusiasm for continuous learning in the fast-evolving analytics landscape. Share how you keep up with the latest trends through online courses, webinars, or industry publications. Mention any specific technologies or methodologies you've recently adopted and the outcomes achieved from implementing new techniques.

Your answer should reflect your genuine interest in the role and the company. Talk about ConnectOS's commitment to providing a great workplace and innovative digital solutions in the office products space. Express your passion for analytics and how the role aligns perfectly with your career aspirations and values, emphasizing the potential for growth and collaboration in a dynamic team.