Data Analyst

Company Description

MANGOPAY is a leading European fintech that is shaping the future of exchanges by building powerful payment technologies for marketplaces and crowdfunding platforms.

We specialise in providing payment technologies that enable platforms to process funds easily and automatically at scale. We currently have over 2,500 clients across Europe - including highly innovative marketplaces like Vinted and Rakuten - for whom we have processed over 22 billion euros since our creation in 2013.

Our daily operations are centred around three core values: entrepreneurship, collaboration, and diversity. We have seven offices across Europe and are proud to foster an inclusive and dynamic work environment that has helped us become an innovative leader both locally and internationally.

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

She/He will be part of our Data Science and Analytics team, already composed of four Data/BI analysts and managed by the Lead Data Science and Analytics.

The 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 and BI offer. On one hand, performing functional analysis means that you are able to speak the finance, marketing and compliance language, on the other, you should be technically capable to perform data analysis and visualization in order to create business value for the company.

**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 the others data analysts to develop and accelarate our projects.

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
- Perform, automate and optimize reports for regulatory authorities.

**Qualifications**:
**Preferred experience**

Experience
- 4+ years Data Analytics experience business performance oriented.

Required skills
- Strong analytical (statistics, hypothesis testing,) skills to identify risks & opportunities related to finance, compliance and marketing environment. Ability to propose actionable recommendations
- Strong technical skills (SQL, Big Data/NoSQL ecosystem)
- Knowledge of the financial environment (Bank, Fintech, PSP)
- Skills of working with data: gathering, preparation, data quality evaluation and monitoring
- Knowledge of the Big Data/NoSQL ecosystem and ability to program in SQL
- Strong business acumen & results oriented
- Strong written and verbal communication skills in French and English and ability to work in multicultural environment.

Nice to have
- Knowledge of agile models (Scrum and Kanban)
- Knowledge in machine learning.

Mindset
- Critical thinking and process optimisation
- Analytical mindset and solution oriented
- Ability to work individually and in a team-oriented, collaborative environment.

Additional Information
**Hiring Process**
- RH call
- Interview with Lead Data Science & Analytics
- Interview with Senior Data Analyst
- Informal team meeting