What youll be investing your time on:
Module row data into data warehouse tables according to our data modeling roles and practices.
Design data models and lead result driven analytics process based on Checkout strategy needs: such as customer risk scoring model, customers profiling and segmentation models, etc.
Work with stakeholders in the company, such as GTM, Strategy., Risk, Operations, Product, Tech for their data needs collection and prioritization.
Work with our central data team and with Checkout data foundation team to define the Checkout data roadmap and deliverable. Create a process to track progress and timeline, while providing visibility to the different stakeholders.
Design analytical solutions for a wide range of Checkout org needs.
Expand data capabilities to support business decisions by providing accurate and user-friendly data models, insight, reports, and dashboards.
Built a process to support new initiatives go/ no go decision process.
Built an infrastructure to support market research and competitor analysis for benchmarking needs.
Be a hands-on manager while also being a strategic leader and bringing value to the Checkout organization.
Create internal documentation and glossaries of Checkout data structure and measurements.
Promote data driven business thinking and create self-service tools to support employees and managers across the organization.
Module row data into data warehouse tables according to our data modeling roles and practices.
Design data models and lead result driven analytics process based on Checkout strategy needs: such as customer risk scoring model, customers profiling and segmentation models, etc.
Work with stakeholders in the company, such as GTM, Strategy., Risk, Operations, Product, Tech for their data needs collection and prioritization.
Work with our central data team and with Checkout data foundation team to define the Checkout data roadmap and deliverable. Create a process to track progress and timeline, while providing visibility to the different stakeholders.
Design analytical solutions for a wide range of Checkout org needs.
Expand data capabilities to support business decisions by providing accurate and user-friendly data models, insight, reports, and dashboards.
Built a process to support new initiatives go/ no go decision process.
Built an infrastructure to support market research and competitor analysis for benchmarking needs.
Be a hands-on manager while also being a strategic leader and bringing value to the Checkout organization.
Create internal documentation and glossaries of Checkout data structure and measurements.
Promote data driven business thinking and create self-service tools to support employees and managers across the organization.
Requirements:
5+ years in data analysis experience in Payments Acquiring/ Checkout industry – a must.
Experience working with complex B Analytics platforms, and programming languages: Power BI, SQL queries, Google Big Query.
Experience working in a global environment a must.
Experience managing relationships with company executives and leading initiatives to support data driven business decisions.
Bachelor's Degree in Computer Science, Mathematics, Statistics, or equivalent fields.
Deep understanding of the Data Analytics landscape. Monitor industry trends and implement best-in-class analytical concepts and data models.
Present and communicate business insights and data trends in meetings with senior leaders across the organization.
Well organized, energetic and hands on individual with a can-do approach.
A problem solver, experienced working under pressure.
Ability to cope with changing requirements and levels of uncertainty in a fast-paced environment.
Excellent English level.
Experience with building data models.
5+ years in data analysis experience in Payments Acquiring/ Checkout industry – a must.
Experience working with complex B Analytics platforms, and programming languages: Power BI, SQL queries, Google Big Query.
Experience working in a global environment a must.
Experience managing relationships with company executives and leading initiatives to support data driven business decisions.
Bachelor's Degree in Computer Science, Mathematics, Statistics, or equivalent fields.
Deep understanding of the Data Analytics landscape. Monitor industry trends and implement best-in-class analytical concepts and data models.
Present and communicate business insights and data trends in meetings with senior leaders across the organization.
Well organized, energetic and hands on individual with a can-do approach.
A problem solver, experienced working under pressure.
Ability to cope with changing requirements and levels of uncertainty in a fast-paced environment.
Excellent English level.
Experience with building data models.
This position is open to all candidates.
