• Perform in-depth analysis on our revenue and costs related to our pharmacy business and partnership agreements • Design & build data models that elevate data-driven decisioning through speed to insights & data democratization • Act as a critical thought partner and collaborate closely with Finance, Product, Engineering, Growth, and Operations to provide visibility and recommend solutions that drive meaningful impact to our business

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Office of Innovation seeks a skilled and experienced Product Data and Analytics Lead to join our Business.NJ.gov team. This role will focus on leveraging data to transform how the state interacts with businesses and entrepreneurs, enhancing the effectiveness of Business.NJ.gov. A successful candidate will integrate data services and activities to improve products, define success, and advance diversity and equity in entrepreneurship across New Jersey. Your responsibilities may include: - 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. Qualifications - 5+ years of experience in data and product analytics, or 3+ years of experience plus a graduate degree in computer science, data science, statistics, information science, economics, applied mathematics, quantitative public policy, business or a similar area of study. - Commitment to making an impact and solving pressing public interest challenges for the people of New Jersey. - Experience with SQL, Python, or R for data manipulation and analysis. - Familiarity with databases (e.g., DynamoDB, Postgres, BigQuery) and data pipeline tools. - Knowledge of statistical and econometric methods for policy and impact evaluation. - Familiarity and up-to-date experience with Google Analytics 4, Google Tag Manager, and associated modern platforms, as well as managing the migration of data into new platforms. - Experience with data visualization and dashboarding platforms (e.g., Looker Studio, Tableau, PowerBI). - Analytical acumen with demonstrated experience generating data to drive tangible actions; familiarity in quantitative and qualitative research strategies; commitment to ethical data practices. - Familiarity with advanced tracking techniques, such as funnel and goal tracking, cross-domain tracking, custom dimensions, and event tracking. - Solid understanding of digital marketing strategies and metrics, including SEO, AEO, SEM, social media, and conversion optimization. - Strong communicator experienced in using data for insights and translating technical concepts into actionable intelligence for non-technical audiences, while also adept at discussing data structure trade-offs and engineering decisions. - Strong problem-solving skills and attention to detail, able to identify and troubleshoot technical issues effectively. - Project management capabilities and the ability to work independently or collaboratively in a fast-paced environment. - Up-to-date knowledge of industry trends, best practices, and evolving technologies in web analytics and data governance. Requirements - You must be authorized to work in the United States. - Candidates may be required to pass a background check and complete additional steps as part of the application and onboarding process. - You will be considered an “at-will” employee, meaning both employer and employee have the right to terminate employment with or without cause or notice. Benefits - Annual salary of $106,090 commensurate with experience. - Benefits include medical, dental, vision, paid leave, and competitive retirement plan options, as well as other optional fringe benefits.

• Conduct analysis of A/B tests, including hypothesis testing and setting variant decision rules • Pre/Post analysis of product enhancements and platform upgrades • Build and own tools to help track progress and enable decision making • Own the insights and recommendations that will influence our products and future initiatives • Work across teams to set up testing and understand technical initiatives prior to their release into production

• Conduct analysis of A/B tests, including hypothesis testing and setting variant decision rules • Pre/Post analysis of product enhancements and platform upgrades • Build and own tools to help track progress and enable decision making • Own the insights and recommendations that will influence our products and future initiatives • Work across teams to set up testing and understand technical initiatives prior to their release into production