How do I apply for the Equity Continental Sales Data Analyst Intern position at Euronext Corporate Solutions and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Equity Continental Sales Data Analyst Intern role?

This position is a full-time, structured as a not disclosed role.

What educational background or degree level is required for the Equity Continental Sales Data Analyst Intern at Euronext Corporate Solutions?

Candidates are generally expected to be holding or pursuing the following degree levels: Master.

Does Euronext Corporate Solutions provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Equity Continental Sales Data Analyst Intern

Euronext Corporate Solutions

Found 2 months ago

Location

Paris, France

Time

Full-time

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Master

Skills & Qualifications

Technical Skills

Python
SQL
Dataiku
Excel
Power BI
CRM platforms
machine learning algorithms
AI

Soft Skills

analytical
technical
communication skills
Problem-Solving
Innovation
Time Management
Collaboration

Job Description

The Equity Continental Sales Data Scientist Intern plays a key role in transforming data into strategic insights that drive sales growth and performance optimization. By leveraging advanced data analytics including artificial intelligence (AI), and machine learning (ML), the intern supports the sales team with data-driven recommendations and predictive models that anticipate market behavior and client needs. Working collaboratively across teams, such as Equity Product team and Quant Team and locations at Euronext, the ideal candidate will possess strong analytical, technical, and communication skills, with proficiency in Python, SQL, Dataiku, Excel, Power BI, CRM platforms, and other business intelligence tools.

Requirements

Data Extraction, Analysis, and Modeling
Collect, process, and analyze large and complex trading and client datasets using Python, Dataiku, and SQL.
Apply machine learning techniques to detect client behavioral patterns, segment clients, and predict sales trends, particularly in the retail segment.
Data Visualization and Reporting
Design intuitive Power BI dashboards and automated reports to monitor key performance indicators (KPIs), visualize insights, and communicate findings effectively to stakeholders.
CRM Optimization through AI
Integrate AI-driven analytics into CRM systems to improve customer segmentation, lead scoring, and sales pipeline management.
Market Intelligence
Conduct market and sentiment analysis to identify emerging opportunities, competitive shifts, and macro trends impacting equity sales strategies.
Predictive and Prescriptive Analytics
Develop and deploy models to forecast sales performance, identify high-potential clients, and recommend data-driven actions that enhance commercial effectiveness.
Collaboration and Process Improvement
Work closely with the sales and strategy teams to streamline workflows, enhance performance tracking, and translate analytical insights into actionable business outcomes.
Currently pursuing a Bac+4/5 (Master’s level) degree in Data Science, Applied Mathematics, Engineering, Statistics, or a related field.
Proficiency in Python, SQL, and Dataiku for data preparation, analytics, and model building.
Strong command of Excel and Power BI for reporting and visualization.
Experience or coursework in machine learning algorithms (e.g., regression, clustering, classification) is a plus.
Experience working with CRM systems and leveraging AI features for sales analytics.
Ability to interpret complex data, build predictive models, and derive actionable insights that support strategic decision-making.
Strong verbal and written communication skills, with the ability to explain analytical results clearly to non-technical audiences.
Familiarity with financial markets or equity sales is a plus.
Demonstrated ability to apply AI-driven approaches to solve business challenges and optimize processes.
Proven ability to manage multiple projects and deliver high-quality results within tight deadlines.
Certifications in Data Science, Machine Learning, or AI are advantageous.
Team-oriented mindset with experience working in cross-functional and multicultural environments.

Data & Analytics

Data Analysis

Languages

English

Nice to Haves

Experience or coursework in machine learning algorithms (e.g., regression, clustering, classification) is a plus.
Familiarity with financial markets or equity sales is a plus.
Certifications in Data Science, Machine Learning, or AI are advantageous.

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24Open Positions

Open Positions

24Open Positions

Equity Continental Sales Data Analyst Intern

Education

Skills & Qualifications

Technical Skills

Soft Skills

Job Description

Requirements

Related Field

Related Subfield

Languages

Nice to Haves