Ops Data Analyst at Payoneer

, , -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Analysis, Dashboard Building, Power BI, Tableau, Looker, Python, Pandas, Data Modelling, BI/ETL Development, Cloud Environments, Google Cloud Platform, BigQuery, Operational KPI Metrics, Financial Services, FinTech

Industry

Financial Services

Description

About Payoneer Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories. By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. 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. What you’ll be spending your time on: Work with different stakeholders in the company, such as Operations, BizDev, Product, Tech and Program Managers. Provide accurate and user-friendly data models, insight, reports, and dashboards. Analyze data, track operation performance, alert and analyze abnormal trends. Deliver ad-hoc reports and in depth analyses. Have you done this kind of stuff? Degree in Industrial Engineering /Statistics/Software Engineering/computer science / Mathematics or another quantitative field 2+ years working experience as a Data Analyst or equivalent academic experience. Highly experienced with SQL. 2+ Experience building dashboards in with visualization platforms - Power BI, Tableau, Looker, etc. Experience working with Python, with focus on Pandas-advantage! Soft Skills: Team player with strong analytical and problem solving skills, as well as business understanding. Strong communication skills, independent, proactive, detail-oriented with can-do attitude. Eager to learn and self-educated Working in an international environment, fluent English Experience with data modelling, BI/ETL development. Experience working in cloud environments (Google Cloud Platform, BigQuery). Experience in Financial Services or FinTech companies Experience working with operational KPI Metrics The Payoneer Ways of Working Act as our customer’s partner on the inside Learning what they need and creating what will help them go further. Do it. Own it. Being fearlessly accountable in everything we do. Continuously improve Always striving for a higher standard than our last. Build each other up Helping each other grow, as professionals and people. If this sounds like a business, a community, and a mission you want to be part of, apply today. We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.

Responsibilities

The Ops Data Analyst will work with various stakeholders to provide accurate data models, insights, reports, and dashboards. They will analyze data to track operational performance and deliver ad-hoc reports.