Business Analytics Manager
- תל אביב
- משרה קבועה
- משרה מלאה
- Collaborate with the functional departments to develop a set of OKRs and KPI-driven data stories tracking and evaluating the planning and execution processes of the department.
- Develop with management a set of dashboards and reports to track and analyze the departments' OKRs and KPI-based data driven stories in real time.
- Design with the department and management a set of triggers with actions around the data stories
- Design with the department data-driven planning and execution business processes using the data stories and triggers
- Develop a system that implements the data stories and makes them available to all members of the department based on role and responsibility
- Train the department in using these tools to implement the planning and execution processes.
- Iterate with the department around the system capabilities and continue to evolve it in lock step with the evolving business needs
- Address point data and analytics needs from the department as they arise
- Develop a system for management that implements the dashboards and reports, allowing for real time tracking of the business as well as the business processes with early warning triggers
- Promote the use of new tools, and in particular AI, to enhance the Analytics capabilities provided to the departments
- Develop shared methodologies and tools between the BAs in the team
- Hire and manage a team of Business and Data Analysts to cover all departments in the organization and allow for a vertically integrated service. From a business objective to a data story to a process and a working system to support it.
- 4+ years of experience in a managerial role leading Business or Data Analytics teams, including hiring, team building, and embedding methodologies and processes.
- Proven experience in business analytics, FP&A, strategic performance analytics, or business performance tracking, in tech environments preferably SaaS.
- Proven experience in implementing and maintaining KPI models, dashboards, and analytics tools in cross-functional settings.
- Strong proficiency with BI tools (e.g., Tableau, Power BI) and data querying languages (SQL, Python).
- Deep understanding of business performance metrics, especially in SaaS environments.
- Strong business acumen with the ability to tell a clear story with data and influence through insight.
- Strategic and structured thinker with strong attention to detail.
- Strong interpersonal and collaboration skills across business functions.
- Bachelor's degree in business, Finance, Economics, Industrial Engineering, Data Science, or related field - required; master's degree - an advantage.
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