Monday Senior Analyst - Office CEO 

Italy, Abruzzo, Chieti 

339709603

• Research diverse, complex business and product problems: utilize data from various sources and your analytical and statistical expertise to create visibility, identify leverages for action, conceptualize and track relevant metrics to monitor improvement. Examples include financial forecasting, the company's core business cycle, S&M efficiency, employee productivity, and many others
• 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

An excellent candidate will:

• Have strong business aptitude, including familiarity with common methodologies and frameworks for at least two of the three following domains - marketing, product, or financial analytics
• Possess top-notch analytical and technical skills, capable of owning a full data flow: problem definition, data collection and modeling, analysis and reporting
• Communicate highly effectively - be capable of identifying and extracting concise bottom lines, providing appropriate context, and creating compelling visualizations
• Thrive working alongside colleagues from various domains, inspiring trust and building successful partnerships and processes

• 3+ years of industry experience as an analyst team lead, senior analyst or business-oriented data scientist
• Advantage - leadership experience, e.g. former team or group leaders looking to return to a hands-on role
• 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