Erato Kakourou

Product Analytics at MongoDB

New York, New York, United States

About

Well-versed analytics leader with the ability of turning data into actionable recommendations on marketing and product strategy.

Experience

  • Senior Product Analyst II at MongoDB
    Jun 2023 - Present · 3 yrs 1 mo

  • Citi (On-site)
    • Product Analytics Lead
      Mar 2020 - Jun 2023 · 3 yrs 4 mos

      Partners with senior leadership to develop business cases, execute research and analyses for new product development and/or product feature changes. Drives business strategy by identifying new revenue opportunities for existing customers and acquisitions. Guides and mentors junior analysts on advanced analytics projects, storyline creation and effective cross-teams presentation and communication.

    • Senior Product Analyst
      Jan 2017 - Feb 2020 · 3 yrs 2 mos

      Worked closely with Product Team and a range of business stakeholders, to provide data-driven insights and recommendations, and answer business questions, by analyzing large datasets of credit card transactions. Identified opportunities for maximizing product/credit card growth, by creating regression models that predict the likelihood of customer disengagement, with the goal of developing proactive retention strategies. Created and implemented strategic planning financial models that enables accurate forecasting, performance tracking and variance analysis for US Credit Card business.

    • Senior Marketing Analyst
      Feb 2014 - Dec 2016 · 2 yrs 11 mos

      Partnered with Marketing Team to design A/B experiments for marketing campaigns, build new metrics and create campaign performance tracking with the goal of improving communications, driving customer engagement and optimizing marketing expenses for Citi's Loyalty Rewards Program.

  • Data Analytics Intern at Divide™
    Jun 2013 - Aug 2013 · 3 mos

    Provided operational and strategic insight to the team, management, and clients, by analyzing and identifying trends and bottlenecks in app usage. Built time-series forecast to predict app deployment growth for large enterprise clients.

  • Marketing Research & Analytics Intern at APIVITA SA
    Mar 2011 - Jun 2011 · 4 mos