Senior Marketing Analytics and Visualization Specialist

Position Overview

We’re seeking a self‑driven Senior Marketing Analytics and Visualization Specialist who thrives in a fast‑paced setting to join a global Association headquartered in Washington, DC. This is a hybrid position, requiring you to work onsite in Washington, DC at least two days a week. In this role, you will integrate disparate marketing data, reporting, and visualization to support the Communications Division by cleaning and collecting data, identifying KPIs, and developing performance dashboards using advanced statistical methods. You will empower marketing managers and executive leadership with digestible insights to drive business decisions.

Key Responsibilities

• Create visualizations, reports, and analyses of email data, web analytics, and other enterprise data.
• Use Tableau, Excel, and other data visualization tools to design easily digestible visuals that provide actionable insights.
• Collaborate with Marketing & Sales team leaders to understand business requirements around data.
• Develop reporting that identifies patterns, trends, opportunities for improvement, and the success of specific initiatives while capturing the full customer journey including lead qualification, conversion, ROI, and member engagement.
• Document processes and technology, make recommendations to enhance business processes, tools, and performance.
• Assist in preparing monthly and quarterly marketing KPI/ROI reports.
• Train end users on how to use and interpret reports and dashboards.

Required Qualifications

• Undergraduate degree in Statistics, Business Administration, Marketing, or a relevant field.
• Minimum 3-5 years of experience in a quantitative role.
• Proven experience as a Data Analyst, Business Data Analyst, or in a related role, with strong technical expertise in data cleaning, reporting, and visualization.
• Proficiency with Tableau and/or other data visualization tools.
• Working knowledge of coding languages and statistical tools such as R, Python, SAS, or SQL.
• Strong understanding of marketing analytics with excellent analytical skills and attention to detail.
• Team-oriented with excellent time and workload management skills and strong written and verbal communication skills.