Head of Funnel Analytics - Ceo's Office

Monday.com Monday.com · Enterprise · Tel-Aviv, Israel · CEO Office

Lead company-wide monitoring efforts of the business funnel, owning key reporting and research flows in collaboration with senior partners from Product, Sales, and Marketing. Optimize existing tools and build new ones, identify early issues, and create leverages for action. Build dashboards and reports to translate data into decision-making tools. Champion high-quality data work and mentor junior colleagues.

What you'd actually do

  1. Assume co-ownership of monitoring flows to track key indicators of our business health. Optimize existing tools and build new ones as needed. Utilize data from various sources and your analytical and statistical expertise to create visibility, identify early issues and create leverages for action
  2. Lead investigations into funnel issues in collaboration with other groups, build ceremonies and protocols to ensure business health and periodically report to leadership on the state of the business.
  3. Build appealing, compelling dashboards and reports to translate data into meaningful representations that become vital decision-making tools for your consumers
  4. Become a champion for high-quality data work across the organization, mentoring and guiding junior colleagues, setting standards for exceptional work by sharing examples and best practices, and becoming a leading contributor to the growing data community at monday

Skills

Required

  • 4+ years of experience as a senior analyst or business-oriented data scientist
  • Excellent SQL skills
  • strong control of at least one popular BI tool such as Tableau or Looker
  • Communicate highly effectively
  • strong business aptitude
  • top-notch analytical and technical skills
  • capable of owning a full data flow: problem definition, data collection and modeling, analysis and reporting

Nice to have

  • leadership experience
  • proficiency in a scripting language used for data analysis (e.g. R, Python)
  • familiarity with ETL processes and data warehousing
  • familiarity with common methodologies and frameworks for at least two of the three following domains - marketing, product, or financial analytics
  • data visualization and storytelling