Data Analyst

Our company is the only global payables automation solution to streamline all phases of the AP and payment management workflow in one holistic cloud platform. The company makes it painless for accounts payable departments to manage their entire supplier payments operation.

The solution addresses everything from supplier onboarding and vetting, to tax and regulatory compliance, invoice processing, payments to suppliers anywhere in the world in a wide range of payment methods and currencies, supplier payment status communications, to closing the loop with payment reconciliation and reporting.

Companies like Twitch, Twitter, GoDaddy, and Roblox entrust us to activate their business models and dramatically reduce AP friction. Headquartered in San Mateo, California, we're a well-funded startup with a multi-billion dollar valuation.

But beyond the technology and impressive growth, what fuels us is a commitment to our customers. We work hard for our 99% customer retention built on trust and reliability. The company means "We handled it," an aesthetic our customers know we deliver consistently.

Responsibilities:

Analyze large, complex data sets to address strategic and operational business questions.

Design data models, table and built dashboards and reports to facilitate KPI’s, company-wide data needs, measure and predict future performance.

Measure results, identify impact and provide actionable recommendations and conclusions to improve the solution for our clients.

Develop and maintain dashboards in data visualization tools such as Power BI \ Tableau

Ensure that reporting and data solutions are tested and in line with business logic and data requirements, and meet a high standard of quality

Work closely with the product team and various stakeholders to shape features and future product roadmaps

Skills and Experience:

• Strong analytical skills with the ability to collect, organize and analyses significant amounts of data and information.
• Excellent proficiency in using SQL for data querying.
• Comfortable navigating and analysing complex large data structures and applying efficient data mining techniques.
• Experience in data modeling and DWH – an advantage.
• Product analysis experience in a product company - a major advantage
• Experience with PowerBI platform or other visualization tool (Tableau, Sisense ect).
• Advanced proficiency in written and spoken English.
• Ability to communicate with both business and technical counterparts.
• A scientific computing language (such as R or Python) – an advantage.
• Experience designing and training machine learning models - an advantage.

Requirements:

• 3 years of experience in a technical role as a data analyst.
• Solid data extraction and manipulation skills - SQL or Python experience required.
• BA graduate Industrial management, Statistics, Information Management or similar field.