Head of Analytics, office of the CPTO

Description

monday.com is seeking an experienced, versatile analyst to join the office of the CPTO. This is a senior role with pivotal, company-wide impact and high visibility. You will assume ownership of key data reporting and research flows covering monday.com’s core R&D and product agendas; your contributions will have a direct impact on our product development, business strategy, customer experience as well as the communication on strategic topics within the company and externally with investors.

About The Role

• Research diverse, complex product and business problems: utilize data from various sources and your analytical and statistical expertise to create visibility, identify leverages for action, and conceptualize and track relevant metrics to monitor improvement.
• Build appealing, compelling dashboards and reports to translate data into meaningful representations that become vital decision-making tools for your consumers
• 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
  
  

• Possess top-notch analytical and technical skills, capable of owning a full data flow: problem definition, data collection and modeling, analysis, and reporting
• Have strong business aptitude, including familiarity with common methodologies and frameworks for product analytics in a SAAS context
• Communicate effectively - be capable of identifying and extracting concise bottom lines, providing appropriate context, and creating compelling visualizations
• Able to work independently and collaboratively, thrive working alongside colleagues from various domains, inspiring trust and building successful partnerships and processes
  
  

• 4+ years of experience as a senior analyst or analytics team lead in non-academic settings; demonstrated record of conceiving, designing, and shipping successful data analytics projects that drove business impact (interesting failures are also okay)
• Excellent SQL skills
• Strong control of at least one popular BI tool such as Tableau or Looker
• Advantage - proficiency in a scripting language used for data analysis (e.g. R, Python), or familiarity with ETL processes and data warehousing
• Great communication skills with a penchant for data visualization and storytelling
• Advantage - leadership experience, e.g. former team or group leaders looking to return to a hands-on role)