Senior Data Analyst

ABOUT CORDIAL

We founded Cordial in 2014 on the belief that there should be more humanity and empathy in marketing—both in how brands communicate with their customers and in how technology companies work with brands. We built our company and platform purposefully, driven by a desire to inspire more thoughtful communication and to create experiences that feel more personal and human—for consumers, for the people at the companies we work with, and for Cordial employees. Today, brands like PacSun, Revolve, Abercrombie & Fitch, Realtor.com, L.L. Bean and Forbes rely on Cordial to drive revenue growth by sending a better message.

We chose the name Cordial to symbolize how we empower our clients to communicate with their customers, as well as how we do business: with transparency, collaboration, and trust. We're building a passionate team of individuals willing to learn, grow, and be thoughtfully challenged on a daily basis to continuously improve our product, company, and culture every single day.

OUR VALUES

• Communicate better than the rest
• Tenacious about the client and the problems we solve for them
• We’re owners and we act like it
• Be Cordial

POSITION SUMMARY

We're looking for an experienced, self-driven data enthusiast to shape marketing stories, future strategies and client success. This role demands an analyst with a knack for dissecting large datasets to extract clear, actionable insights. You'll be pivotal in compiling and analyzing client datasets and crafting workbooks to drive optimizations across email, SMS, and in-app push campaigns. Additionally, you'll work to establish and update performance benchmarks and deliver ad hoc reporting based on business needs. The ideal candidate is able to push beyond descriptive analytics into Diagnostic, Predictive and Prescriptive Analytics with ease.

YOU WILL

• Analyze historic marketing data to identify trends, patterns, and insights that drive strategic decision-making.
• Develop and maintain complex Excel and Google Sheets workbooks to track and report on key marketing KPIs, including open rates, click-through rates, unsubscribe rates and revenue trends.
• Investigate and pinpoint the root causes of data anomalies and trends.
• Prepare and deliver presentations to communicate insights, recommendations, and performance metrics to internal leaders as well as clients and other internal stakeholders.
• Collaborate with cross-functional teams, including marketing, product, and engineering, to develop data-driven analysis and recommendations.
• Innovate with our Product and Engineering teams to unlock new manners …