Early-Career Marketing Intelligence Analyst
- Compensation
- Not disclosed
- Location
- US
- Work setup
- Remote
- Seniority
- Intern
- Employment
- Full time
- Experience
- Not specified
- Category
- Marketing
- Posted
Skills
Must have
- 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 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 independently solve problems.
- To qualify, applicants must be legally authorized to work in the United States and should not require, now or in the future, sponsorship for employment visa status (e.g., H-1B visa status, etc.).
Nice to have
- 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.
Full description
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About the Hiring Group
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 a US-based remote position, local candidates within commuting distance to RTI’s headquarters office (Research Triangle Park, North Carolina) are preferred for a hybrid work arrangement.
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What You'll Do
- 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.