Senior Finance Data Analyst

Company Description

Who are we ?

MANGOPAY’s vision is to fuel the success of the platform economy.

We empower the platform economy with our platform-specific payment
infrastructure. Since 2013, we have supported 2,500+ clients in e-commerce, retail,
and cutting-edge platforms.

MANGOPAY has developed a payment solution that aims to fuel the success of the
platform economy. Built around our programmable e-wallet solution, MANGOPAY’s
payment infrastructure offers a simple and easily integrated solution that covers
platform payment needs with total integration, as well as flexibility and workflows for
many business models.

Our teams are split across Europe in eight different locations, with main offices in
Paris and Luxembourg. Platforms and marketplaces are thriving and we are looking
for outstanding profiles to tackle some of the most ambitious challenges in our field
and contribute to our robust growth

Job Description

MANGOPAY continues to grow at an incredible pace. The Data Team needs a Senior Data Analyst to help us deploy our data strategy and bring data to the next level.

She/He will be part of our BI & Data Science team, already composed of six colleagues and managed by the Lead BI & Data Science.

The Senior Data Analyst is someone who knows how to identify business issues and find a way to answer them based on data. You will be responsible, accompanied by the Data Team, for improving the data analytics offer. On one hand, performing functional analysis means that you are able to speak the finance, marketing and compliance language. On the other hand, you should be technically capable to perform data transformations and computations at software development scale.

The first mission of the Senior Data Analyst is to maintain and add new features to an automatic process handled by the Data Team that answers a challenging finance need.
 

Responsibilities

Technical Requirements:

• Identify and create a synergy between the different data sources in the company
• Continuously improve and enhance the performance, quality, capabilities, and functional coverage of analytics solutions
• Develop and execute database queries and conduct analysis
• Prepare data, realize tests and perform data validations to ensure the respect of the quality and security requirements
• Work with other data team members to ensure Python development best practices and methodologies

Functional Requirements:

• Conduct research and analysis in order to come up with solutions to data business problems
• Understanding client needs and being able to translate them to data analyses or new data projects
• Experience delivering complex product in a corporate environment

Qualifications

Experience:

• 3+ years Data Analytics/Data Engineering experience (business performance oriented)

Required skills:

• Skills of working with data: gathering, preparation, data quality evaluation and monitoring
• Strong technical skills of Big Data ecosystems and ability to program in SQL and Python/PySpark
• Versioning with Git and strong interest for software development
• Ability to work in an international environment

Nice to have:

• AWS experience
• Software development best practices (CI/CD, unit testing, etc.)
• Ability to work with Linux systems
• Ability to work with agile methodologies (JIRA, sprints, ceremonies)

Additional Information

Hiring Process

• HR call
• Interview with a Data Analyst and a Data Engineer
• Interview with our CTO
• Informal team meeting

Interested in this position? Apply without a second thought!

For us, applications are all very welcome. Our differences are our wealth : we are committed to promote and embody all shades of diversity for a more inclusive and equitable society.