What are the responsibilities and job description for the AI-Driven Digital Analytics Strategist position at Braintrust?
Job Description
O3 is enhancing its core offerings to drive smarter performance through AI-enhanced Conversion Rate Optimization (CRO) and digital experience.
The Digital Analytics Strategist will play a key role in this transformation, transforming complex behavioral and performance data into actionable insights to fuel personalization, experimentation, and business growth.
O3 is enhancing its core offerings to drive smarter performance through AI-enhanced Conversion Rate Optimization (CRO) and digital experience.
The Digital Analytics Strategist will play a key role in this transformation, transforming complex behavioral and performance data into actionable insights to fuel personalization, experimentation, and business growth.
- To Note: This contract role is approved for 15–20 hours per week, with the potential for increased hours based on project demand.
- Data Strategy & Visualization:
- Build and maintain dashboards that reflect AI-driven KPIs like engagement scores and user intent.
- Develop reports that support strategic decision-making and highlight performance trends.
- Analytical Insights:
- Analyze internal and external data sources to uncover user behavior trends and performance opportunities.
- Use AI-powered tools to deliver predictive insights and inform optimization tactics.
- Partner with strategy, UX, and engineering teams to enhance content delivery.
- Best Practices & Stakeholder Engagement:
- Establish and enforce best practices for analytics tagging and data audits.
- Lead KPI discovery aligned with business goals.
- Act as SME for integrating data across marketing, sales, financial, and product domains.
- Facilitate communication and trust among stakeholders.
- 5 years in data visualization with dashboard/reporting design experience.
- 3 years experience with tools like DOMO, Tableau, and Google Analytics (GA4 included).
- Strong skills in Excel, PowerPoint, and Word.
- Hands-on with tagging tools (GTM, Adobe Analytics, Tealium, Segment).
- Experience with analysis tools like SQL, Python, SPSS (a plus).
- Familiarity or interest in AI-enhanced analytics and personalization strategies.
- 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
- Proven collaboration in agile environments and with senior stakeholders.
- Strong communication and project management skills.
- Experience with Salesforce Marketing Cloud, Einstein, or Qualtrics is a plus.
