Product Data and Analytics Lead
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Role leveraging data to transform state interactions with businesses, enhancing Business.NJ.gov effectiveness. Seeking experienced professionals to advance diversity and equity in entrepreneurship.
Responsibilities:
- 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.
Requirements:
- 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 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.
Benefits:
- medical
- dental
- vision
- paid leave
- competitive retirement plan options
- other optional fringe benefits
Similar Jobs
Senior Clinical Data Manager
Managing data management operations for clinical projects at Catalyst Clinical Research. Leading technical expertise and ensuring project execution meets sponsor satisfaction.
Senior Data Science Engineer, AI
Senior Data Science Engineer developing data solutions for healthcare financial transparency. Collaborating with interdisciplinary teams to build scalable data systems.
Fullstack Data Scientist
Fullstack Data Scientist focused on building and developing solutions at httpie.ai. Collaborating with the Engineering team to drive data-driven innovations.
Instructor for Data Science Continuing Education
Lehrkraft für die Weiterbildung zum Certified Data Scientist. Unterstützung der Teilnehmenden beim Aufbau fundierter Grundlagen in Data Science.
Head of Data Science
Head of Data Science at Render, defining and scaling the data function across products and teams. Lead impactful data strategies and mentor a world-class team of data scientists.
Data Science Intern – Computer Vision, Machine Learning
Data Science Intern focusing on computer vision and machine learning research for digital identity verification. Collaborating with senior scientists and engineers on real-world challenges.
Head of Data
Head of Data for the Solana Foundation developing and owning data strategy across the ecosystem. Leading team of analysts and ensuring data drives informed decisions.
Product Analytics Lead
Product Analytics Lead driving data-informed decision-making for e-commerce company. Leading behavioral analyses and uncovering insights to shape product strategy and optimization.
Lead Instructor, Data Science
Lead Instructor at WBS CODING SCHOOL, responsible for Data Science and Analytics programs. Engaging teaching with hands-on workshops and mentoring international students in a 100% remote setting.
Data Scientist
Data Scientist at Jensen Hughes leveraging data science techniques for predictive modeling in revenue forecasting and financial analytics. Join a diverse team in a fast-paced remote environment.
Data Scientist – Pricing
Data Scientist managing pricing systems for Nivoda, a global jewelry marketplace. Building analytical frameworks and conducting pricing experiments to optimize pricing decisions.
Data Scientist – Pricing
Data Scientist leading pricing optimization and analytics for Nivoda's global jewellery marketplace. Creating analytical foundation, experimenting, and connecting pricing across various platforms.
Senior Data Scientist
Senior Data Scientist developing cutting-edge AI solutions to enhance healthcare technology and improve patient outcomes. Collaborating with cross-functional teams to drive innovation in medical technology.
Senior Data Scientist – Engineering Simulation/ML
Senior Data Scientist at Capgemini Engineering focusing on ML applications in engineering domains. Collaborating with engineers to develop and validate machine learning models for design configurations.
Lead Data Scientist
Lead Data Scientist within Mercury Insurance's Growth Data Science team, optimizing acquisition and engagement strategies through data-driven solutions.
Senior Data Scientist
Data Scientist developing analyses and models for SaaS products in construction and compliance sectors. Collaborating with operations to transform customer behavior data into business decisions.
Data Scientist
Data Scientist leading AI/ML initiatives at Capgemini Engineering. Driving enterprise-wide AI vision with cross-functional collaboration and technical expertise.
Space Data Manager
CAFM Analyst driving precision CAFM excellence for JLL, focusing on space data management and planning. Engage in innovative solutions and quality assurance for client success.
Senior Staff Engineer – Data Scientist
Senior Data Scientist with 8-10 years experience in data science and 2-4 years in manufacturing. Responsible for building scalable data solutions and deploying ML models in remote work setting.
Data Scientist – Utilization Management
Data Scientist at CVS Health building analytic solutions and machine learning models. Collaborating with data engineering teams to innovate healthcare analytics.