Data Analyst

About Us

At Pagos, we are committed to empowering businesses to take charge of their payment systems and address any challenges hindering their optimum growth. Our worldwide platform offers developers, product teams, and payment heads both a profound understanding of their payment data and access to innovative payment technology via user-friendly tools that are easy to adopt. To achieve this, we require innovative thinkers ready to buckle down and collaborate with us in construction.

About the Role

Data is the heart of everything we do at Pagos, and our Data Analysts are crucial in maintaining the quality and uniformity of our data.

With a precise eye for details and a communicative approach, you'll join forces with our Engineering and Product teams. In this position, you'll concentrate on verifying data pipelines, debugging flawed SQL queries, and identifying data inconsistencies.

As a Data Analyst, you will:

• Be in charge of data quality throughout the whole platform

• Develop scalable and dependable test plans to ensure regular data delivery

• Discover, research, and monitor bugs

• Organize and coordinate testing activities along with cross-functional teams

• Assist in interpreting customer and product requirements to develop and validate data models

• Preemptively seek out and implement solutions for daily project difficulties

What We’re Looking For

We’re looking for somebody who has:

• 2-4 years of experience in Data Analysis

• Excellent SQL knowledge with the ability to independently write and run SQL queries to extract necessary test data for setups, manipulation, and analysis.

• Understanding of basic statistical concepts for data validation

• The capability to read Python code and develop tests of code logic using testing frameworks, ideally with some programming ability to create and adjust automated tests

• Experience with JSON files and how to interpret the data within

• Experience working with extensive, large-scale relational databases and other tools to collect and analyse quantitative data

• The ability to work effectively under pressure and strict deadlines

• Advanced skills in Microsoft Excel or Google Sheets

• Outstanding written and verbal communication skills, ideal for working in a worldwide asynchronous team

Desirable yet not essential:

• Experience programming in Python, Java, C#, or a similar language

• Experience with Redshift

• Experience in the fintech/finance industry
  
  

Pagos does not accept unsolicited resumes from third-party recruitment agencies. All interested applicants are advised to apply directly.