Payoneer Technical Data Product 

Israel, Center District, Petah Tikva 

416630152

What you’ll be spending your time on:

As a data solution manager, you will be the link between the data platforms (Data Lake, DWH) and their stakeholders - Business, R&D, Product etc.. - by providing data models and solutions for analysis to support the decision-making process.
then
this is the right challenge for you.

• Leading end-to-end data projects to create analytical & data tools and solutions for the company
• Data gathering research and analytical abilities to develop insightful conclusions and generate solutions to address user needs.
• Translate business & technical needs Collaborate regularly with various stakeholders and translate business needs to technical data solutions and KPI definition for business decisions.
• Design the right solution for each case Deliver the technical solutions, defining the architecture and technology that best fit with customer's needs.
• Keep it running Implement and train users with the BI products and manage their inputs for ongoing analysis.
• Take a seat at the table Ability to translate the technical understanding to confident and solid decisions and action items.

Have you done this kind of stuff?

• 3+ years hands on experience in managing end to end data projects, modeling, ETL, data streams and BI products
• Data Warehouse / Solution Design and Dimensional Modeling
• Knowledge in ETL, data streams & pipelines.
• Excellent verbal and written communication- High English language proficiency.
• Led significant project(s) that involved various stakeholders.

Not a must but a great advantage:

• Working with Google Cloud Platform, especially with the analytical tools - BigQuery, Data Catalog, etc..
• knowledge in front end self-service tools (like: Power BI, Looker, etc.)
• Experience with machine learning modeling and working with data scientists
• Microsoft BI (SSIS, SSRS and SSAS)
• Modelling of application events.
• Experience with unstructured data environments (like: , Elastic, Mongo DB, Graph DB,etc.)
• Background of KPI definition, building dashboards & converting data into visual insights