Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
About the Role
We are seeking an experienced and data-driven Senior Digital Analyst to join our team. In this role, you will collaborate closely with our lead digital analytics experts, serving as a key contributor to our digital analytics operations with a strong emphasis on Adobe Analytics. You will play a crucial role in supporting our digital user experience by ensuring robust data collection, building intuitive reporting workspaces, and helping to empower cross-functional teams to make data-informed decisions.
Key Responsibilities
- Analytics Strategy & Reporting: Leverage your deep knowledge of Adobe Analytics to help build, maintain, and optimize complex Workspaces that deliver actionable insights to stakeholders across the organization.
- Team Enablement: Support a data-driven culture by assisting in the onboarding, training, and enabling of team members to effectively utilize Adobe Workspace for self-service reporting and analysis.
- Data Quality & QA: Participate in the functional Quality Assurance (QA) of Adobe Analytics tracking implementations to ensure accurate and reliable data collection across digital properties.
- Troubleshooting: Proactively monitor, troubleshoot, and debug data tracking anomalies or reporting issues, working closely with primary subject matter experts, engineering, and marketing operations teams to deploy fixes.
- Data Architecture & Classification: Assist in the management and maintenance of tracking architectures, including dimensions, metrics, segmentation, marketing channels, and classifications.
Required Qualifications
- Expert-Level Adobe Analytics: Deep, hands-on knowledge of how Adobe Analytics for 4 years works under the hood, including custom dimensions (eVars/props), events, advanced segmentation, marketing channel processing rules, and classifications.
- Workspace Mastery: Extensive experience in designing, building, and curating Adobe Analytics Workspaces tailored to different stakeholder needs.
- Mentorship & Training: Proven experience onboarding and enabling cross-functional team members (marketing, product, etc.) to use Adobe Workspace effectively.
- Debugging Expertise: Strong technical ability to troubleshoot and debug tracking issues using browser network tools, developer consoles, and analytics debugging extensions.
- Functional QA: Demonstrated experience executing functional QA for tracking deployments to validate analytics payloads before and after production releases.
Preferred Qualifications (Nice to Have)
- Working knowledge of SQL for data querying and analysis.
- Hands-on experience working with Adobe Launch / Data Collection Tags.
- Experience implementing and managing tags via Google Tag Manager (GTM).
- Working knowledge of Google Analytics 4 (GA4) and its event-based data model.
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