Early-Career Marketing Intelligence Analyst

RTI International•Durham, NC
•$62,000 - $77,000•Remote

About The Position

The Early-Career Marketing Intelligence Analyst supports data collection, integration, analysis, and reporting to enable data-driven decision-making across RTI International. The role helps ensure marketing and enterprise data is accurate, consistent, and accessible, and contributes to reporting frameworks, insight generation, and scalable data processes aligned with organizational priorities and performance goals. The position is part of RTI’s institute-wide integrated brand and marketing function, which supports institutional growth, market presence, and consistent experiences across the buyer journey. It is US-based and remote; candidates within commuting distance of RTI’s headquarters in Research Triangle Park, North Carolina, are preferred for a hybrid arrangement.

Requirements

  • Bachelor's degree in Marketing, Business, Data Analytics, Statistics, or a related field.
  • Ability to collect, organize, analyze, and interpret data from multiple sources, demonstrated through coursework, projects, internships, or professional experience.
  • Experience using Excel to analyze and manipulate data, including 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 data trends and patterns and translate findings into meaningful insights and recommendations.
  • Strong attention to detail, including the ability to identify data inconsistencies and maintain data accuracy.
  • Strong written and verbal communication skills, including the ability to present analytical findings to non-technical audiences.
  • Ability to manage multiple priorities, work collaboratively, and solve problems independently.
  • Must be legally authorized to work in the United States and must not require, now or in the future, sponsorship for employment visa status.

Nice To Haves

  • Internship, academic project, or professional experience involving marketing analytics, business intelligence, marketing operations, or performance reporting.
  • Experience using SQL or other data querying tools to retrieve, manipulate, or analyze data.
  • Familiarity with CRM, marketing automation, or web analytics platforms such as Salesforce, Demandbase, Pardot, or Google Analytics.
  • Understanding of marketing performance metrics such as campaign engagement, lead generation, conversion rates, or website performance.
  • Experience combining data from multiple sources to develop reports, dashboards, or actionable insights.
  • Exposure to data cleaning, process automation, or improving reporting workflows.

Responsibilities

  • Support the collection, integration, and validation of marketing and enterprise data from multiple systems.
  • Assist in developing data workflows to streamline processes and improve data quality.
  • Analyze marketing, client, and performance datasets to identify trends, patterns, and opportunities.
  • Translate complex data into actionable insights and recommendations for stakeholders.
  • Develop and maintain dashboards, reports, and visualizations that communicate key metrics and performance trends.
  • Support KPI tracking and performance measurement aligned with marketing and enterprise objectives.
  • 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.
  • Maintain data integrity and consistency across systems and support governance through documentation, standardization, and issue resolution.
  • Collaborate with Marketing, Growth, and enterprise stakeholders to understand data needs and deliver decision-supporting insights.
  • Support data workflows and reporting processes to improve efficiency and scalability.
  • Respond to ad hoc data requests by consolidating and analyzing data to provide timely insights.
  • Follow data privacy regulations and internal policies when securely handling sensitive data.

Benefits

  • Competitive base salary
  • Generous paid time off policy
  • Merit-based annual increases
  • Bonus opportunities
  • Recognition program
  • Health insurance
  • Dental insurance
  • Life insurance
  • Short-term and long-term disability insurance
  • 401(k) retirement savings program
  • Paid parental leave for all parents
  • Financial assistance with adoption expenses or infertility treatments
  • Financial reimbursement for education and developmental opportunities
  • Employee assistance program
  • Other offerings to support work-life balance
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