O3 World
O3 is modernizing its core offerings to help clients unlock smarter performance through AI-enhanced CRO and digital experience. This role will help shape how we define and measure impact—from client-facing dashboards to internal KPIs that fuel AI-driven insights, experimentation, and growth.
The Digital Analytics Analyst will play a key role in supporting O3’s AI-enhanced CRO and digital strategy efforts—turning behavioral data into actionable insights that power smarter experimentation, personalization, and performance optimization. This role curates, cleanses, and enriches data from various digital sources—integrating external financial and third-party data when needed—and transforms it into actionable insights. These insights are shared via intuitive dashboards and reports with senior and C-suite stakeholders to drive data-based decisions, trend analysis, and business performance.
Additionally, the Digital Analytics Analyst establishes best practices for analytics tag schemas, data cleansing, and audit processes while guiding stakeholders through KPI discovery to ensure metrics are impactful, clearly defined, and aligned with business priorities. The role involves analyzing the entire digital ecosystem and diving deep into its components to identify success factors and opportunities for improvement.
*To Note: This is an ongoing contract role approved for 15-20 hours per week. Potential for hours to increase based on project / client demand.*
Responsibilities:
Data Strategy & Visualization:
Collaborate with internal teams to develop digital metrics, reports, and dashboards that support strategic decision-making. Build, test, and manage user-friendly dashboards that highlight trends, success factors, and areas for improvement. Design dashboards and reporting structures that reflect evolving AI-driven KPIs, including engagement scores, user intent signals, and cross-channel attribution.
Analytical Insights:
Generate key insights on digital platform usage and provide data-driven recommendations. Compile, cleanse, and analyze data from internal and external sources, uncovering both known and emerging trends. Perform ad-hoc analyses to address specific business questions with replicable and defensible findings. Use AI-powered tools (e.g., predictive analytics, segmentation, or trend detection) to uncover customer behavior insights and recommend conversion optimization tactics. Partner with strategy, UX, and engineering teams to identify signals that inform design experiments and AI-enhanced content delivery.
Best Practices & Stakeholder Engagement:
Define and enforce best practices for analytics tag schemas and data audit processes. Lead KPI discovery exercises to ensure metrics are aligned with business priorities. Serve as the subject matter expert on metrics and data sources, integrating data across marketing, sales, financial, and product systems. Facilitate discussions among diverse stakeholders to build trust and ensure clarity in the analytics approach.
Requirements: 5+ years in data visualization, including dashboard design and reporting. 3+ years of experience with DOMO, Tableau, or similar tools. 3+ years using Google Analytics and Google Tag Manager, with at least 1+ year on Google Analytics 4. Advanced skills in Excel, PowerPoint, and Word. Hands-on experience with tagging tools (Google Analytics, Adobe Analytics, GTM, Tealium, Segment). Experience with data analysis tools (SQL, Python, VBA, Datorama, SPSS, or similar) is a plus. Exposure to or interest in AI-enhanced analytics tools, such as predictive modeling, LLM-powered insights platforms, or AI-based CRO tools Understanding of how data informs personalization, segmentation, or content optimization Comfortable collaborating with cross-functional teams, exploring new uses of AI in digital experience Strong communication skills with the ability to simplify complex insights. Proven success collaborating with senior stakeholders and managing multiple projects in agile environments. Familiarity with Salesforce Marketing Cloud, Einstein, Qualtrics is a plus. Strong project management and organizational skills.
Collaborate with internal teams to develop digital metrics, reports, and dashboards that support strategic decision-making. Build, test, and manage user-friendly dashboards that highlight trends, success factors, and areas for improvement. Design dashboards and reporting structures that reflect evolving AI-driven KPIs, including engagement scores, user intent signals, and cross-channel attribution.
Analytical Insights:
Generate key insights on digital platform usage and provide data-driven recommendations. Compile, cleanse, and analyze data from internal and external sources, uncovering both known and emerging trends. Perform ad-hoc analyses to address specific business questions with replicable and defensible findings. Use AI-powered tools (e.g., predictive analytics, segmentation, or trend detection) to uncover customer behavior insights and recommend conversion optimization tactics. Partner with strategy, UX, and engineering teams to identify signals that inform design experiments and AI-enhanced content delivery.
Best Practices & Stakeholder Engagement:
Define and enforce best practices for analytics tag schemas and data audit processes. Lead KPI discovery exercises to ensure metrics are aligned with business priorities. Serve as the subject matter expert on metrics and data sources, integrating data across marketing, sales, financial, and product systems. Facilitate discussions among diverse stakeholders to build trust and ensure clarity in the analytics approach.
Requirements: 5+ years in data visualization, including dashboard design and reporting. 3+ years of experience with DOMO, Tableau, or similar tools. 3+ years using Google Analytics and Google Tag Manager, with at least 1+ year on Google Analytics 4. Advanced skills in Excel, PowerPoint, and Word. Hands-on experience with tagging tools (Google Analytics, Adobe Analytics, GTM, Tealium, Segment). Experience with data analysis tools (SQL, Python, VBA, Datorama, SPSS, or similar) is a plus. Exposure to or interest in AI-enhanced analytics tools, such as predictive modeling, LLM-powered insights platforms, or AI-based CRO tools Understanding of how data informs personalization, segmentation, or content optimization Comfortable collaborating with cross-functional teams, exploring new uses of AI in digital experience Strong communication skills with the ability to simplify complex insights. Proven success collaborating with senior stakeholders and managing multiple projects in agile environments. Familiarity with Salesforce Marketing Cloud, Einstein, Qualtrics is a plus. Strong project management and organizational skills.