Early-Career Marketing Intelligence Analyst

Responsibilities

• 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.

Requirements

• 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.).

Preferred

• 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.