Technical Data Product

Payoneer's mission is to enable businesses of all sizes from anywhere in the world to access the rising, global economy by enabling them to transact globally as easily as they do locally. Life at Payoneer is a global community, where you'll work with colleagues all over the world, serving small- and medium-sized business customers and partners in over 190 markets.

We're looking for a Technical Data Product with strong analytical thinking and apassion for data, with expertise in various data technologies and solutions to join ourdata group and help drive the company's core objectives.As a Technical Data Product, you will serve as the bridge between the data platforms(Data Lake, DWH) and their stakeholders - such as Risk & Compliance, Business,Product - by providing data models and solutions to support the decision-makingprocess and Reporting.

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

What you'll be spending your time on:

Leading end-to-end data projects to create analytical & data tools and solutionsthat empower the company.
Conduct data gathering, research, and analysis to generate insights and createsolutions that address user needs
Defines how data is collected from various sources (e.g., ETL pipelines,streaming data)
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, deliver, and maintain technical solutions that align with customer needs.
Keep it running, implement and train users with the BI products and manage their inputs for ongoing analysis.

Have you done this kind of stuff?

2+ 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.
Experience in 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 Cloud Platform, especially with Big Query, DL, etc.

Not a must but a great advantage:

Knowledge in front end self-service tools (like: Power BI, Looker, etc.)
Background of KPI definition, building dashboards & converting data into visual insights