Data Analyst, Direct Marketing

As a Data Analyst, you will play a crucial role in driving data-driven decision-making for direct mail campaigns. Your primary responsibility will be to analyze and interpret data related to direct mail campaigns, customer behavior, and response rates. By providing actionable insights, you will contribute to optimizing campaign strategies, improving targeting accuracy, and maximizing return on investment. This position requires a strong analytical mindset, proficiency in data analysis tools, and a deep understanding of direct mail marketing principles.

TRANZACT, a Willis Towers Watson company, is a leading direct-to-consumer marketing, sales and technology company capturing millions of searches for Medicare and life insurance products each year. We achieve competitive advantage through data analytics and end-to-end management of the entire customer journey. While we have the tools and resources enabling enterprise level SEO, we believe people are our most valuable asset.

We want people who fit our BE REAL culture: Be Authentic, Be Passionate, Be Direct, Be Responsible, Be Trustworthy, Be Unstoppable, Be Fun. We’re a diverse team of programmers and writers and designers and data scientists and strategists and more. We’re made up of introverts and extroverts, corporate types and anti-corporate types. We’re an environment where every person feels their full potential is only limited by their ability to conceive of it and make it happen.

Key Responsibilities

• Data Quality Assurance: Ensure the accuracy, completeness, and integrity of direct mail data sets. Conduct regular audits to identify and resolve data discrepancies or anomalies.
• Industry Research: Stay updated on the latest direct marketing industry trends, best practices, and emerging technologies in direct mail marketing and data analytics. Apply new methodologies and tools to enhance data analysis processes and drive innovation.
• Customer Segmentation: Collaborate with marketing teams to define customer segments for targeted direct mail campaigns. Utilize data analysis techniques to identify high-value customer segments and develop personalized messaging strategies.
• Collaborative Partnerships: Collaborate with cross-functional teams, including business intelligent, marketing, and business teams to align data analysis efforts with campaign strategies. Foster strong relationships and establish effective communication channels to drive successful outcomes.
• Campaign Performance Evaluation: Evaluate the performance of direct mail campaigns by conducting multivariate and A/B testing, tracking key metrics, and generating reports. Identify areas for improvement and make data-driven recommendations to enhance campaign outcomes.
• Data Analysis: Build and refine custom data modeling for direct mail campaigns, including response rates, conversion rates, and customer segments. Identify trends, patterns, and insights to guide decision-making and improve campaign effectiveness. Develop predictive models to forecast campaign outcomes, optimize targeting, and personalize messaging. Apply statistical techniques and machine learning algorithms to uncover valuable insights from direct mail data.