monday.com was founded on the belief that transparency and collaboration create a culture of ownership and empowerment; more empowered employees are more productive employees.
And we’re only scratching the surface of what we can accomplish together.
We are all about creating a workplace environment of transparency, ownership, and accountability, to empower managers and their teams.
Design a Business Intelligence and Analytics strategy to enable tracking of business goals and reporting on business performance at scale
Build relationships with cross-functional stakeholders globally, gather requirements and deliver reporting / analytics solutions to meet those requirements
Maintain and support Executive Dashboards and reporting systems.
Collaborate on conceptualization and development of centralized tools (including dashboards) that the business partners can use to extract data / insights in an automated manner
Apply deep understanding of data flows and data definitions to creatively address complex issues
Apply your expertise in business analysis, data visualization and data-mining to tell the story behind the numbers and derive actionable insights for management.
Deliver presentations that are succinct and crisp, with a balance of high-level insights for executives and detailed enough view for core teams
Develop end-user reports that support all the business unit needs
Have a minimum of 4+ years of experience in a similar data analyst role
High proficiency level in SQL - MUST
Great storyteller and communicator and can build relationships with a diverse set of stakeholders.
Deep understanding of numbers, as well as a strong business sense. Know when to use a single number and when to build a complex forecasting models
Capable of tackling ambiguous problem spaces and challenges
Passion for making sense of user behavior, using any available methods and a dedicated advocate of a user-centered approach in product development
Curious, independent and rigorous
Technical competence to perform advanced analytics with large datasets with technologies such as Python, Pandas, R, SQL