Senior Technical Data Product

A universe of opportunities. Open to you.

Payoneer’s mission is to empower anyone, anywhere to participate and succeed in the global economy. If our mission connects with your values, if you revel in solving complex challenges, and if you want to continuously advance your career, come realize your potential at Payoneer!

Life at Payoneer is a global community, where you’ll work with colleagues all over the world, in a hybrid or remote work frame. As an equal opportunity employer, the only things that matter to us are your skills, your drive and your desire to have a positive impact on others.

We’re looking for a Senior Technical Data Product with strong analytical thinking and a passion for data, with expertise in various data technologies and solutions to join our data group and help drive the company’s core objectives. As a Technical Data Product, 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.

If you enjoy working in a high-paced environment, leading data solutions, intrigued by data challenges, with intention to make an impact on the company’s growth, then this is the right place for you.

What You’ll Be Responsibilities On

• 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 by writing STT to be developed by data engineers.
• Design the right solution for each case, deliver the technical solutions, define 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
  
  

• 3+ years of experience in managing end to end data projects, including modeling, STT definitions, data streams and solution design
• Excellent verbal and written communication- High English language proficiency
• Data Warehouse solution design and modeling
• Knowledge in ETL, data streams & pipelines
• Led significant project(s) that involved various stakeholders
• High level SQL and analytics capabilities
  
  

• 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.)
• Background of KPI definition, building dashboards & converting data into visual insights