• Lead success measurement and goals-based analysis: - Report and synthesize data from State data sources, federal data sources, and industry sources with Google Analytics data to assess Business.NJ.gov’s trajectory and success. - Maintain and expand these databases to establish overall baselines for the success of the initiative’s goals, and build comparative analyses with the current state of the marketplace to report on and advise on the initiative’s overall direction and goals. - Design and manage ETL pipelines and data structures that connect product analytics data (GA4, GTM, etc.) with internal datasets (e.g., DynamoDB, SQL, or API-based data). • Analyze, visualize, and model data: - Analyze usage data (GA4) to extract meaningful insights and trends. - Build, maintain, and communicate dashboards in tools like BigQuery, Looker Studio, Tableau, or Domo. - Create regular reports and ad-hoc analyses to provide actionable recommendations and support decision-making for product prioritization, marketing campaigns, website optimizations, and user experience design. - Conduct exploratory data analyses to support project discovery and prioritization. - Develop user-friendly data visualizations and dashboards for stakeholders. - Use product analytics to proactively surface opportunities and pain points in user workflows. - Apply statistical and econometric analysis (e.g., regression, clustering, causal inference) to validate performance metrics and measure resident outcomes. • Implement and configure advanced web analytics and tracking: - Maintain and optimize GA4 implementation and reporting, while integrating with other data systems to enable end-to-end analytics. - Ensure accurate tracking of user interactions, events, conversions, and custom dimensions for comprehensive data collection. - Identify and resolve technical issues related to Google Analytics implementation, data accuracy, and data integration. - Conduct thorough audits to ensure data integrity and troubleshoot any anomalies or discrepancies in the analytics data. - Utilize Google Tag Manager to efficiently deploy and manage tracking tags, pixels, and scripts for various marketing and analytics tools. - Maintain and optimize tag management processes for streamlined implementation. - Implement advanced tracking techniques, such as cross-domain tracking, marketing tracking, and event tracking, to capture granular data insights. - Develop and maintain custom reports, segments, and dashboards tailored to business requirements. • Engage and collaborate with a wide variety of stakeholders: - Collaborate with cross-functional teams, including marketing, product development, engineering, IT, and data and policy, to align Google Analytics implementation with business goals and requirements. - Collaborate with product managers and engineers to design data architectures that serve product and operational analytics needs. - Provide guidance, training, and support to team members on best practices for data collection, reporting, and analysis. • Do what’s needed for the team: - Work with various teams and initiatives to execute additional duties and responsibilities to advance the Office of Innovation’s mission and work.