Early-Career Marketing Intelligence Analyst

RTI International is an independent, scientific research institute dedicated to improving the human condition. Our vision is to address the world's most critical problems with technical and science-based solutions in pursuit of a better future. Clients rely on us to answer questions that demand an objective and multidisciplinary approach—one that integrates expertise across social, statistical, data, and laboratory sciences, engineering, and other technical disciplines to solve the world’s most challenging problems.

We believe in the promise of science and technical solutions, and we push ourselves every day to deliver on that promise for the good of people, communities, and businesses in the US and around the world. If you are looking for the opportunity to make a real difference, RTI is the place for you.

The Early-Career Marketing Intelligence Analyst plays a critical role within the Marketing function, supporting data collection, integration, analysis, and reporting to enable data-driven decision-making across the enterprise. This role builds upon established data analyst practices by ensuring the accuracy, consistency, and accessibility of marketing and enterprise data. Working closely with stakeholders, this position contributes to the development of reporting frameworks, insight generation, and scalable data processes that align with organizational priorities and performance goals.

This position sits within the Institute-wide integrated brand and marketing function. This team is a part of an evolving marketing and brand ecosystem designed to power institutional growth, strengthen market presence, and deliver consistent, high-value experiences across the buyer journey.

While this is aUS-basedremoteposition,local candidates within commuting distance to RTI’s headquarters office (Research Triangle Park, North Carolina) are preferred for a hybrid work arrangement.

• Data Collection and Integration:
  Support the collection, integration, and validation of marketing and enterprise data from multiple systems, ensuring accuracy and reliability. Assist in developing data workflows to streamline processes and improve data quality.
• Data Analysis and Insights:
  Conduct analysis to identify trends, patterns, and opportunities across marketing, client, and performance datasets. Translate complex data into actionable insights and recommendations for stakeholders.
• Reporting and Visualization:
  Develop and maintain dashboards, reports, and visualizations that communicate key metrics and performance trends in a clear and compelling way.
• Performance Measurement:
  Support KPI tracking and performance measurement aligned to marketing and enterprise objectives, ensuring consistency and timeliness of reporting.
• Systems and Tools:
  Assist in integrating and optimizing data across systems such as Salesforce, Demandbase, Pardot, or Google Analytics. Contribute to improvements in tools, automation, and AI-enabled capabilities.
• Data Quality and Governance:
  Ensure integrity and consistency of data across systems. Support governance practices including documentation, standardization, and issue resolution.
• Stakeholder
  
  Collaboration:
  
  Partner with Marketing, Growth, and enterprise stakeholders to understand data needs and deliver insights that support decision‑making.
• Workflow Management:
  Support management of data workflows and reporting processes to ensure efficiency and scalability.
• Ad Hoc Analysis:
  Respond to ad hoc data requests by consolidating and analyzing data to provide timely insights.
• Data Privacy and Compliance:
  Adhere to data privacy regulations and internal policies, ensuring secure handling of sensitive data.

• Bachelor's degree in Marketing, Business, Data Analytics, Statistics, or a related field.
• Demonstrated ability to collect, organize, analyze, and interpret data from multiple sources through academic coursework, projects, internships, or professional experience.
• Experience using Excel to analyze and manipulate data, including functions such as pivot tables, formulas, and data visualization.
• Experience with business intelligence or data visualization tools, such as Power BI, Tableau, or comparable platforms, to develop reports, dashboards, or other visual presentations of data.
• Ability to identify trends and patterns in data and translate findings into meaningful insights and recommendations.
• Strong attention to detail, including the ability to identify data…