Senior Advisor, Marketing Analyst; P4
Listed on 2026-01-17
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst
Save the Children
For over 100 years, Save the Children has been fighting for the rights of children. The right to a healthy start in life. To have access to education. To be in a safe environment, protected from harm. We work in some of the world’s hardest-to-reach places – over 100 countries, including the U.S. No matter what your role is, when you join Save the Children, you’re creating positive, irreversible change for children, and the future we all share.
The RoleAs the Senior Advisor, Marketing Analyst, you’ll be integral to our work in helping vulnerable children achieve a brighter future. You will play a pivotal role in advancing Save the Children’s marketing analytics capabilities and driving a culture of data-informed decision-making. Reporting to the Managing Director, Marketing Performance, Technology & Analytics, you will serve as a senior expert and hands-on contributor, leveraging advanced analytics and data visualization tools—such as Tableau, Power BI, and other leading programs—to deliver actionable insights that optimize marketing campaigns and supporter engagement.
LocationHybrid – Washington DC, Fairfield, CT or Lexington, KY office locations
What You’ll Be Doing (Essential Duties)
* not inclusive of all role responsibilities. May be subject to change.
- Perform hands-on data analysis, programming, and modeling using tools such as SQL, Python, R, Tableau, and Power BI.
- Build, maintain, and enhance dashboards, reports, and data visualizations to support marketing performance measurement and strategic decision-making.
- Ensure data quality, integration, and hygiene across platforms, collaborating with data governance and technology teams.
- Lead benchmarking, propensity modeling, and integration of third-party data sources to improve targeting and analytics capabilities.
- Drive the development and implementation of integrated analytics, supporter segmentation, and predictive modeling to optimize marketing ROI.
- Design and build dashboards and reporting tools using Tableau, Power BI, and other analytics platforms to provide real-time visibility into campaign performance and supporter behavior.
- Translate complex data into actionable insights for marketing channel managers and audience leads, embedding analytics throughout campaign planning and execution.
- Support the adoption of advanced methodologies, including attribution modeling, predictive analytics, and file health monitoring, to drive data-informed decision-making.
- Partner with senior leadership and Business & Technology Solutions to shape and implement the enterprise technology roadmap for marketing analytics and data platforms.
- Contribute to departmental plans that align with enterprise-wide data strategy and divisional priorities.
- Advise on investment planning, performance optimization, and long-term growth strategies for marketing analytics.
- Participate in strategic discussions to ensure analytics initiatives support organizational goals and fundraising objectives.
- Mentor and coach colleagues in data best practices, fostering a culture of data literacy and innovation across the division.
- Collaborate with cross-functional teams to embed analytics into everyday marketing operations and drive performance excellence.
- Support diversity, inclusion, and belonging within the analytics and marketing technology team.
- Represent the analytics function in senior management meetings and contribute to Agency-wide staff and Board deliverables as needed.
- Minimum of a bachelor’s degree or equivalent experience, plus at least 7 years of relevant experience.
- Progressive leadership experience in marketing analytics, strategic planning, or financial performance management.
- Demonstrated success in leading cross-functional teams and managing complex, multi-dimensional business challenges.
- Expertise in marketing KPIs, attribution modeling, predictive analytics, and supporter segmentation.
- Strong business acumen with the ability to align data strategy…
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