Digital Analytics Lead
On-siteCarmel, Indiana, United States
Job Summary
Define and govern behavioral measurement frameworks aligned to product, UX, and business goals while establishing priorities and maturity roadmaps for analytics across platforms. Directly design, implement, and maintain event taxonomies, tagging strategies, and implementation standards, partnering hands-on with Engineering to configure, test, and audit analytics platforms like GA4 and GTM. Work with Data Engineering, Data Governance, and Business Intelligence teams to integrate behavioral data into enterprise systems and validate event schemas. Conduct hands-on analysis of behavioral data to generate actionable insights, design dashboards, and execute segmentation based on intent and journey stages. Establish documentation, mentorship, and analytics enablement through playbooks and coaching sessions to ensure teams use data responsibly without formal people management. Balance immediate business needs with long-term data integrity and scalability.
Required Qualifications
- Bachelor's degree in Analytics, Data Science, Human Computer Interaction, Psychology, Information Systems, Business, or a related field, or an equivalent combination of education and practical experience
- 5+ years relevant experience in behavioral, digital, or product analytics within complex digital or software environments
- Significant experience in behavioral or web analytics supporting decision making across products or platforms
- Demonstrated experience owning or leading analytics strategy, measurement frameworks, or implementation standards across multiple products or teams
- Hands-on experience with event based analytics and instrumentation, including defining event models, taxonomies, and data quality practices
- Working experience using query languages (e.g., SQL or similar) to explore, validate, and analyze behavioral data across analytics platforms and/or enterprise data stores
- Proven ability to analyze behavioral data and translate findings into clear, actionable insights that inform product, UX, and business decisions
- Strong understanding of data modeling concepts related to digital analytics (e.g., event schemas, sessionization, dimensional thinking)
- Experience working with or alongside cloud data warehouse environments (e.g., Snowflake) and understanding how behavioral data is structured for analysis
- Experience collaborating with Data Engineering and/or Business Intelligence teams to translate behavioral tracking into usable datasets and reporting
- Understanding of data privacy, consent management, and responsible handling of behavioral data in regulated or enterprise environments
- Strong communication and collaboration skills, with the ability to explain analytical and technical concepts to cross functional partners
- Experience partnering closely with UX, Product, Engineering, and Business stakeholders to align measurement with outcomes
Desired Qualifications
- Master's degree preferred
- Experience using automation and AI assisted analysis techniques to support exploratory analysis, pattern detection, anomaly identification, or insight generation, with sound judgment around appropriate and responsible use
- Experience working within UX, product, or digital experience organizations
- Experience with modern behavioral and web analytics platforms (e.g., Google Analytics 4, Google Tag Manager, Microsoft Clarity, or similar event based tools)
- Experience designing, building, and stewarding dashboards or reporting frameworks, including metric definitions, documentation, and ongoing maintenance
- Familiarity with experimentation, optimization, or iterative measurement approaches
- Experience designing or supporting experimentation frameworks (e.g., A/B testing, feature validation, behavioral impact measurement)
- Experience enabling, coaching, or mentoring others in analytics practices without formal people management responsibility
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