דרושים » מערכות מידע » אנליסטי/ת/מיישם/ת מערכות BI

We are seeking a highly skilled and data -driven data Analyst to join our R&D data group and play an extremely important role as your insights and findings will be crucial for our growth and success What Will you be doing:
* Work closely with managers to define research goals
* Analyze and process big amounts of data and use it to give actionable insights.
*  Preparing final analysis reports for the stakeholders to understand the data -analysis steps, enabling them to take important decisions based on various facts and trends.
*  Develop and integrate data analysis method and know how across the company internal divisions
* Create, and maintenance customized dashboards for monitoring and process management purposes
*  Educate and training for all data analyst across the company

Country:
Israel

City:
Herzliya

What were looking for:
Analysis and optimization of raw/metadata according to the company requests
Development of dashboards, KPIs and metrics
Someone to come up with new ways to use our data to create value for our users
Someone to bring insights and suggestions to Product Managers, Sales, Customer Success, Management by conducting deep analysis and research
Ability to analyze and interpret needs, translating these needs into solutions and coordinate internal and external resources to accomplish results.
Work with our engineering teams to improve the visibility, serviceability, and quality of our product
Monitoring customers env. logs and product metrics to alert about changes/issues
Monitor customers on-prem and Cloud production environments
Collaborate with the internal R&D team to automate tasks wherever possible and implement a monitoring strategy to provide rapid feedback and diagnostics.
Create relationships with other departments, including Sales, Product Management, Engineering, and Customer Success, to make sure we provide services with high availability and superior performance for all our customers.
Familiarity and/or implementation experience with tracking and data collection techniques.