Payoneer
  • Published: May 21, 2021
Category
Job Type
Level of education
Undergraduate
Spoken Language needed
Hebrew, English
Level of Hebrew
Fluent
Location of job
Petach Tikva
How many relevant years experience do you require for the role:
More than 3 years

Description

If you’re the kind of person that loves to get thing done, collaborate with colleagues all over the world and is interested in joining a fast growth global company that is trusted by the world’s top digital brands and truly cares for its customers, join us at Payoneer!

What’s the job?

- Be a part of an innovative Operation and Services Analytics team
- Provide accurate and user-friendly data models, insight, reports, and dashboards.
- Collaborate with different stakeholders in the company, such as Business Operations, BizDev, Product, Tech and Program Managers, and assist with data needs to optimize decision making process.
- Initiate an lead ML/AI process – you will have the option to invite process optimization using statistical models with a huge impact of the company.
- You will lead a team to support a globally operations structure
- Proactively identify areas of opportunity and suggest ideas to improve efficiency.

Requirements

- Degree in Statistics/Software Engineering/computer science /Industrial Engineering/Mathematics or another quantitative field - Must
- At least 4 years of experience in an analytical role and quantitative analysis- Must
- 2+ years experience in leading an analysts team
- At least 4 years experience using statistical computer languages (Python, R etc.) – Must
- At least 4 years experience developing a statistical and stochastically model - Must
- Expert SQL skills - Must
- Experience visualizing and presenting data insight to stakeholders using Power BI, tableau etc.
- Strong analytic and technical orientation
- High level of English
- Independent, initiative, detail-oriented

Not a must but will be an advantage:

- Experience working with KPI Metrics and SLA
- Experience in Financial Services or FinTech companies
- Leading a cross departments analytics project
- Big data infrastructure and tools experience - advantage

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