Ops Data Analyst at Payoneer

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jan, 26

Salary

105000.0

Posted On

18 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

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

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. Location: NYC Hybrid Full-time Role summary: We are seeking a Data Analyst to join our Operations team in the Americas region. The ideal candidate will have a background in analytics, proven experience in SQL, and is an expert at building dashboard solutions that provide our business leaders with the data and insights they need to help service our customers with excellence. What you’ll do: Provide accurate and user-friendly data models, insight, reports, and dashboards Analyze data, track operational performance, alert and analyze abnormal trends Work with different stakeholders in the company, such as Operations, BizDev, Product, Tech and Program Managers Who you are: 3+ years of working experience as a Data Analyst in tech/fintech companies 3+ years of experience building dashboards with visualization platforms - Power BI, Tableau, Looker, etc. Degree in Industrial Engineering, Statistics, Software Engineering, Computer Science, Mathematics or another quantitative field Highly experienced with SQL Experience working with Python, with focus on Pandas - advantage! Experience with data modelling, BI/ETL development. - advantage! Experience working in cloud environments (Google Cloud Platform, BigQuery) preferred Experience working with operational KPI Metrics What we offer: Discounted medical, dental, and vision insurance (coverage starts on day one) HSA and FSA 401K with employer match Employee Stock Purchase Plan (ESPP) Fitness/Wellness reimbursement Generous PTO, paid holidays, and parental leave Learning and development opportunities Flexible work from home schedule Volunteer activities Fun office culture with supportive leadership In accordance with New York City Law, below is the annual base salary range for this position. Actual annual base salary is based on, but not limited to: experience, education, professional licenses, location and business needs. The position is eligible for health insurance, disability insurance, life insurance, 401k plan, paid-time off, and sick (and where applicable safe) leave. This position is also eligible for a discretionary year-end bonus. The annual base salary range for this position is: $90,000 - $105,000. #LI-JE1 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

Provide accurate and user-friendly data models, insights, reports, and dashboards. Analyze data, track operational performance, and alert and analyze abnormal trends.