Senior Data Analyst

il y a 2 jours

Paris, France MANGOPAY Temps plein

Company Description

MANGOPAY’s mission is to shape the future of exchanges

We empower all marketplaces and platforms by providing them with powerful and flexible payment and regulatory solutions. Since 2013, we have accelerated the success of some of the biggest names in e-commerce, retail, and cutting-edge platforms like Vinted, Rakuten, Chrono24, La Redoute, Wallapop and 2,500 + more.

Our team of over 250 talents is spread across Europe, with main offices in Paris and Luxembourg. Marketplaces and fintechs 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. We are proud of our diversity and are committed to employee well-being, inclusion and equal opportunity. Working at MANGOPAY means joining a dynamic, flexible and fast-growing organization.

We just raised €75 Million with Advent International, one of the most experienced private equity investors, to scale our vision globally. It’s time to join the adventure

**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 three 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 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.

We’re currently implementing a new data platform, where the stack includes: Snowflake and Databricks.

**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 other data analysts to develop and accelerate 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**:
**Experience**:

- 5+ years Data Analytics experience (business performance oriented)

Required skills:

- Strong analytical (statistics, hypothesis testing,) skills
- Skills of working with data: gathering, preparation, data quality evaluation and monitoring
- Strong technical skills of Big Data/NoSQL ecosystems and ability to program in SQL and/or Python/PySpark

Nice to have:

- Cloud experience (AWS, Azure or GCP)
- Snowflake
- Databricks

Additional Information
**Hiring Process**
- HR call
- Interview with Head of Data
- Interview with Data Analyst and Data Engineer
- Informal team meeting

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