Marketing Analytics Specialist

LevelUp helps merchants own the shift to mobile by powering mobile-payment optimized loyalty programs, enabling their customers pay for their purchase and accrue/redeem rewards with a single scan or tap. LevelUp's analytics platform helps merchants better understand their customers and deliver the right campaigns to the right customers to drive revenue and increase customer happiness. LevelUp is currently used by over 14,000 merchant locations and 4 million users.

We are looking for a data expert to join our client services team to help our restaurants understand and interpret the data generated by their LevelUp-powered app. LevelUp now partners with over 150 restaurants, each with its own unique KPIs and business goals. Our Marketing Analytics Specialists help map those KPIs and goals to data in our system. If you love SQL, if figuring out new ways to define Lifetime Value gets you up in the morning, if you are always finding new ways to prove your point using data, this job is for you.

* Create rock-solid reports and clear, interesting data visualizations using PostgreSQL and BI tools * Develop a deep understanding of the LevelUp architecture, its related database tables and the interactions between them * Consult with our Account Management team on best practices in discovering and presenting system data * Liaise with various internal and external teams to understand product changes and how they impact associated reports and visualizations * Automate frequent reporting requests to maximize efficiency * Work with account managers and other client services teammates to create new efficiencies in processes and reporting implementation

**Qualifications** * 1-3 years in analytics role * Strong understanding of SQL and BI tools like Tableau, Chartio, or Looker * Strong competence in analyzing data and turning it into a communicable value proposition * Proficiency in basic Ruby or Python * Bachelor’s degree in data sciences, information management, or other analytic disciplines **Bonus Points** * Experience in the restaurant industry in an analytics role * Deep understanding of Python, Ruby or R