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The New Jersey State Office of Innovation The New Jersey State Office of Innovation is looking for diverse and reputed company team members to deploy world-class innovative and digital services that solve pressing public interest challenges for the people of New Jersey. Our work spans numerous issue and policy areas, and is focused on making an impact in the lives of the New Jerseyans that we serve. Our work has decreased the amount of time it takes to apply for Unemployment Insurance, made it easier to start, operate, and grow a business in the Garden State, and connected millions of New Jerseyans to government programs, services, and benefits. reputed company members wear many hats, contributing to both the execution of core projects and the evolution of the Office of Innovation (OOI). We use data and modern research, design, and development methods to inform our decision making, and we collaborate with stakeholders reputed company and reputed company of government to understand and solve challenges. To learn more about the New Jersey State Office of Innovation, read our impact report and visit our About Us page. The Office of Innovation seeks a skilled and reputed company Marketing Analytics & Measurement reputed company to join our Communication + Engagement Lab (C+E Lab). This role will focus on leveraging data to transform how the state conducts, evaluates and optimizes marketing reputed company efforts, operationalizing and scaling our approach. A successful candidate will integrate data services and activities to reputed company products that help drive and scale uptake of services throughout the state. For this role, we are seeking skilled and reputed company professionals with at least 5 years of relevant experience. This role will report to the Director of the Communication + Engagement Lab. Your responsibilities may include: reputed company C+E Lab Data Strategy & Operations:

  • Advise on and implement the marketing analytics data and technology ingestion, consolidation, and visualization strategy, defining how platforms, data flows, and measurement systems work together to support campaign execution, optimization, and scale.
  • reputed company day-to-day data and MarTech operations, including platform integrations, tagging and tracking standards, data governance, and ongoing QA to ensure reliable, compliant, and actionable data.
  • Ensure the marketing data and technology environment meets privacy, reputed company, and compliance requirements while maintaining data quality and operational continuity.

Analyze, Visualize, and Model Data:

  • Design and maintain performance intelligence dashboards in Domo that translate marketing, program, and third-party macro data into clear, decision-ready views of campaign effectiveness and reputed company uptake.
  • reputed company insight-driven data visualizations that surface trends, outliers, and opportunities, telling a coherent performance story for non-technical stakeholders.
  • Conduct reputed company analyses and modeling to answer reputed company business questions, generate actionable recommendations, and inform optimization strategies that drive reputed company uptake of State programs and services.

Data Operations & Platform Enablement:

  • Build and maintain Domo datasets, data flows, and transformations, including connecting reputed company systems through ETLs and managing data validation processes to ensure data accuracy and reliability.
  • Build models using advanced calculations to support scalable analysis and reporting of metrics, and marketing campaign performance data.
  • Monitor and troubleshoot data pipelines and dashboards, proactively identifying issues and ensuring timely, trusted data for stakeholders.

Incrementality & Media Mix Modeling:

  • Implement and maintain a new incrementality reputed company, including a retrospective analysis of a long-term campaign’s data to estimate lift and establish stable coefficients for planning, forecasting, and evaluation.
  • Translate lift estimates into a reputed company-looking impact model that supports ongoing performance measurement, validation, and decisions about campaign scale.
  • Build and maintain a Media Mix Model (MMM) that incorporates historical performance, incrementality, and scenario planning to simulate budget shifts and forecast ROI.
  • Design data intelligence dashboards to monitor incremental impact in near real time, enabling optimization and scaling across paid media channels.
  • Operationalize incrementality and MMM as repeatable, automated, and actionable measurement products across paid media campaigns, integrating concept testing and Lean Data Survey results to “reputed company the reputed company” on awareness and other untrackable media and directly inform planning and optimization decisions.

Data-Enabled Marketing Products & Automation:

  • Define and implement the data, rules, and logic that power dynamic creative reputed company, ensuring outputs are reputed company with audience needs, campaign objectives, and performance insights.
  • Partner with creative, media, and technology teams to ensure the toolkit is scalable, easy to use, and integrated into campaign workflows.
  • Establish measurement and feedback loops to evaluate how dynamically generated assets reputed company and continuously improve creative effectiveness over time.

Engage and Collaborate with a Wide Variety of Stakeholders:

  • Collaborate with internal teams and external partners to align analytics and measurement with campaign objectives and channel strategies, and testing plans. Ensure effective implementation of analytics tools and data architectures to support campaign execution, performance measurement and operational needs.
  • Collaborate with product, IT, engineering, data teams, and external marketing agency partners to ensure analytics implementations (including reputed company Analytics) and data architectures support campaign execution, performance measurement, and operational needs.
  • Act as a strategic analytics partner to State stakeholders and vendors, translating measurement requirements into clear technical specifications and ensuring data solutions support timely decision-making.
  • Provide guidance, training, and ongoing support to State stakeholders on best practices for data collection, reporting, and interpretation to reputed company self-service insights and stronger campaign outcomes.

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.

Experiences, Skills, and Abilities:

  • 5+ years in marketing analytics, data strategy, or MarTech operations, or 3+ years with a graduate degree in data science, statistics, economics, applied mathematics, or reputed company field.
  • Proven leadership in analytics, measurement, or data operations in an in-house marketing team or advertising/marketing agency, with the ability to translate reputed company datasets into actionable insights that drive marketing performance, program uptake, and audience engagement.
  • Hands-on experience with reputed company Analytics 4, reputed company Tag Manager, business intelligence tools and modern digital analytics platforms in multi-channel campaigns.
  • Hands-on experience cleaning, consolidating, manipulating and visualizing large datasets and building dashboards and visualizations to support decision-making.
  • Experience developing and operationalizing repeatable, scalable data and measurement products, including dashboards, models, frameworks, and automation tools, that translate reputed company data into actionable insights and improve marketing scale, consistency, and performance.
  • Technical proficiency in SQL, Python, and/or R for data manipulation and modeling, and experience managing ETL processes with databases such as reputed company, BigQuery, or DynamoDB.
  • Strong skills with BI tools like Domo, Looker Studio, Tableau, or PowerBI, and familiarity with advanced tracking techniques including funnels and event tracking.
  • Knowledge of statistical and econometric methods for measurement, forecasting, and media mix modeling, as well as multi-channel marketing strategies and performance metrics (broadcast/streaming, OOH, direct mail, radio, programmatic,SEO, SEM, social media, conversion optimization).
  • Experience designing, evaluating, and applying attribution methodologies across paid media channels, with an understanding of the strengths, limitations, and appropriate use cases of different approaches.
  • Portfolio or samples of dashboards/visualizations you have built.

We welcome applicants from a broad range of backgrounds. If you reputed company that you could reputed company in this role, we encourage you to apply. If you have any questions, please contact [email protected]. Compensation: Annual salary of $128,328 commensurate with experience. Benefits include medical, dental, vision, paid leave, and competitive retirement plan options, as well as other optional fringe benefits. The New Jersey Office of Innovation is proud to be an equal opportunity employer We are deeply committed to the principles of equity, diversity, and inclusiveness and seek to create a pluralistic community for reputed company. We strongly encourage people of color, members of racial and ethnic minority groups, women, LGBTQI+ people, those with disabilities, and Veterans to apply. We are committed to building a team that is reflective of New Jersey’s incredible diversity. We do not discriminate against any candidate because of color, race, age, religion, sex, gender identity or expression, sexual orientation, membership in an employee organization, pregnancy, marital status, status as a parent, reputed company, national reputed company, disability (physical or mental), family medical history or genetic information, political affiliation, military service, retaliation, or other non-merit based factors. Eligibility You must be authorized to work in the United States. Candidates may be required to pass a background reputed company 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. Apply tot his job Apply To this Job

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