Data Analyst (Apprentice), Paris

Mirakl

Paris

Presencial

EUR 12.000 - 18.000

A tiempo parcial

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Apprenticeship compensation
Meal voucher card (Swile)
Transportation costs covered (Navigo)

Descripción de la vacante

Mirakl is seeking a Sales Data Analyst Apprentice in Paris to join the Platform Advisory team. You will build data pipelines, analyze prospect data, and create insights to power sales prospecting and business-case development.

You will collaborate with a global team and engage in AI-enabled analytics to improve efficiency. The role requires pursuing higher education in analytics/engineering, strong Python (pandas) skills, and fluency in English and French.

Formación

  • Pursuing higher education in a related field (Business Analytics, Data Science, Engineering, Management).
  • Experience on projects supporting sales teams (sales ops or revenue ops) is a plus.
  • Strong Python and data manipulation skills (pandas).
  • Familiar with HTML structure parsing and API calls.

Responsabilidades

  • Build scalable data pipelines to retrieve and analyze prospect data using web scraping, API calls, and Python (pandas).
  • Create personalized email insights and slide decks to support sales prospecting and business cases.
  • Develop persona-based outreach materials to increase conversion rates.
  • Leverage AI to automate data analysis and improve efficiency.
  • Provide analytical insights to help prioritize opportunities and refine targeting strategies.

Conocimientos

Python
HTML parsing
REST APIs
SQL

Educación

BSc/MSc related field (Business Analytics, Data Science, Engineering, Management)

Herramientas

BeautifulSoup
Scrapy
Selenium
Pandas

Descripción del empleo

About Mirakl

Mirakl is the leading provider of eCommerce software solutions. Mirakl's suite of solutions provides enterprises with a transformative way to drive significant growth and efficiency in their online business. Since 2012, Mirakl has been pioneering the platform economy, empowering retail and b2b enterprises with the most advanced, secure and scalable technology to digitize and expand product assortment through marketplace and dropship, improve efficiency in supplier catalog management and payments, personalize shopping experiences, and boost profits through retail media. Mirakl is trusted by Macy’s, Saks, Henry Schein, The Knot, 1800-Flowers, Best Buy, Lowe’s, Ulta and 450+ industry-leading businesses worldwide. For more information: www.mirakl.com.

Sales Data Analyst (Apprentice), Paris
The Team You'll Join

You’ll join the Platform Advisory team led by Laura, EMEA Manager Platform Advisory, within the Sales Acceleration department. The team consists of 5 Business Consultants who support Mirakl's prospects in defining their marketplace strategies and developing compelling business cases.

As a Sales Data Analyst Apprentice, you'll play a crucial role in accelerating the implementation of Mirakl's vertical go-to-market strategy by providing data-driven insights that power sales prospecting, consulting engagements, and business case development. You'll collaborate closely with a global team, Business Development Representatives, and the broader Go-to-Market organization.

12-month apprenticeship starting September 2026 | Based in Paris.

Your Impact
  • Build scalable data pipelines: Retrieve and analyze prospect data through advanced technologies including web scraping, API calls, and Python (pandas library) to generate strong, reliable, and actionable insights for Mirakl's Sales and Partner ecosystem teams.
  • Transform data into sales enablement tools: Create personalized email insights and slide decks that support sales prospecting efforts and inform the Platform Advisory Team's consulting engagements and business case development.
  • Accelerate personalized outreach: Collaborate with the Business Development Representative team to create persona-based outreach materials (e.g., CEO-focused presentations, Head of e-commerce email sequences) that increase conversion rates.
  • Leverage AI to improve efficiency: Utilize AI (LLMs) to automate data analysis, enhance content personalization, and streamline operational workflows.
  • Support strategic decision-making: Provide analytical insights that help sales teams prioritize opportunities, refine targeting strategies, and optimize the vertical go-to-market approach.
What You’ll Bring to the Role
Education

Currently pursuing higher education in Business Analytics, Data Science, Engineering (Computer Science/Data), Management, or a related field.

Experience

Ideally, experience working on projects supporting sales teams (sales, sales ops, or revenue ops).

Technical Skills

Proficient in Python with hands-on experience using the pandas library for data manipulation.

Experience with web scraping libraries (e.g., BeautifulSoup, Scrapy, Selenium).

Comfortable with HTML structure and parsing.

Strong knowledge of API calls and REST API integration.

Proficient in SQL for data extraction and analysis.

Basic knowledge of AI (LLM) and the ability to utilize it to improve efficiency.

Skills

Ability to be laser-focused on a singular task with tenacity to always solve problems regardless of hurdles faced.

Acute attention to detail paired with commendable analytical prowess.

Solid grasp of technological advancements and their utility in elevating operational efficiency.

Team player: You collaborate effectively with international teams and share best practices.

Languages

Fluent in English and French (written and spoken) required, as you'll be collaborating with a EMEA & US-based team.

What We Offer You

Being a student at Mirakl you have:

  • A meaningful experience with empowering missions
  • A dynamic and stimulating work environment with passionate Mirakl workers
  • The opportunity to be at the heart of a French unicorn at a unique stage of its development
  • A real interns and apprentices community, our #miraklinterns
Benefits
  • Apprenticeship compensation
  • Swile meal voucher card
  • Transportation costs covered: Navigo at 50%, bike reimbursement, etc
  • Access to CSE discounts (ticketing, entertainment, etc.)
  • A healthy mind in a healthy body: Take time for yourself with the Gymlib pass!
  • A tailor-made integration path to quickly gain skills
  • Empowering and evolving missions to get the most out of this experience
Our Hiring Process
  • AI-powered screening conversation (10 min) with Emma, Mirakl's AI Talent Ambassador to explore your background and motivation for the role
  • Phone Screen - Get to know each other with a Talent Acquisition Specialist, discuss your experience and answer your questions about Mirakl
  • Technical Interview - Deep dive with Valentin on your knowledge of Python, SQL, HTML, and APIs to assess your technical capabilities
  • Business Interview - Meet Laura and Heloise to discuss alignment with our company values using the STAR methodology
  • Welcome to Mirakl! - We move quickly and provide clear, transparent feedback
Mirakl in Numbers
  • Founded in 2012
  • Member of French Tech Next40
  • 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
  • Series E funding: $555M | Valuation: $3.5B+
Our Values
  • Work Hard Together: Teamwork and collaboration are the foundation of our success
  • Get Things Done: We prioritize action and efficiency for impactful results
  • Go Above & Beyond: We tackle challenges proactively and always aim for excellence
  • Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
  • Satisfy & Empower Clients: We're committed to our clients' success

We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning.

We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.

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