Optimove is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world’s most exciting brands, such as Papa John’s, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we’re on the cusp of our next growth spurt. It’s the perfect time to join our team of ~400 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed.

The Marketing Data Analyst is responsible for helping current Optimove clients implement a CRM methodology that suits their specific business needs, build bespoke predictive models, and assist their teams in translating their data into actionable insights. You report to the Head of Professional Services and interface directly with senior-level marketing and CRM executives across business verticals. You are a data-savvy problem solver with experience analyzing customer behavior to draw actionable insights. You are an emotionally-intelligent individual that communicates with customers in a concise, confident, and knowledgeable manner. You are a dynamic and intuitive thinker that can detect potential problems and provide solutions for clients before they occur. You thrive in challenging, fast-paced environments with a sense of humor and are just as passionate about data science as you are about providing excellent customer service. If this sounds like you or someone you aspire to be, let’s chat.

The ranges added below are for New York-based hires only and will be commensurate with candidate experience. Pay ranges for candidates in other locations other than NY may differ based on the market value. Pay range: $80,000-$90,000.

Responsibilities

• Translating data insights into tangible business advice
• Conducting consumer data research and analysis
• Extracting actionable insights from large databases
• Presenting research results to clients
• Implementing new customer projects
• Managing client relationships