Data Product Analyst

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.

We are looking for Product Analytics to join the Payoneer Data Team.

In this role, you should have a background in data and business analysis. You should be analytical and an excellent communicator. If you also have business acumen and problem-solving aptitude, we’d like to meet you.

Requirements:

• 2+ years of experience with BI tools;
• 1+ years of experience in Product Analytics;
• Working experience with Python;
• Experience with writing complex and efficient SQL queries – A must!
• Proven record of working with “Large “ data sets;
• Experience with building visualizations and reports;
• Demonstrated advanced analytical, multi-tasking and problem-solving skills;
• Open-minded, curious, and passionate learner;
• Product and Business Orientation;
• Bachelor’s degree in Industrial Engineering/Information Systems, Statistics or equivalent;
• Ability to work both independently and collaboratively with others in a service-oriented environment;
• Upper-Intermediate level of English;
• Ability to build strong interpersonal relationships with co-workers at all levels;
• Stakeholder management and prioritization skills.

Will be a plus:

• Experience with Looker;
• Experience with Google Cloud BigQuery;
• Experience with Power BI;
• Familiarity with the payments industry.

Responsibilities

• Develop complex SQL queries and optimize them by using indexes, materialization and other performance tools such as Sentry One.
• Design, build, test and deploy BI solutions by using front BI tools (such as Looker, Power BI, SSRS etc.).
• Use analytical skills, complex data, and business judgment to address strategic and operational business questions.
• Collaborate with various teams in the organization (such as operational, business, legal etc.) to translate business needs into technical specifications.
• Create visualizations and reports for requested projects.
• Build and maintain the semantic data layer in the BI tools.