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Operations Performance Analyst Intern (M/W)

Stage(6 mois)
Paris
Salaire : Non spécifié
Télétravail non autorisé

ManoMano
ManoMano

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Descriptif du poste

Founded in France in 2013, ManoMano is the European leader in online DIY, home, and garden. Co-founded by Philippe de Chanville and Christian Raisson, ManoMano, by bringing together more than 5,000 merchants, offers the largest range of DIY & gardening products online, with over 19 million references. ManoMano operates in 6 markets (France, Belgium, Spain, Italy, Germany, United Kingdom).

Proud to be part of the Next 40 since 2019 (Top 40 French startups), ManoMano aims to reinvent the DIY, garden, and home experience by providing our customers with a one-stop solution for easy access to innovative advice, products, and services online.

Joining ManoMano is also and above all a great personal experience where global projects and core values are supported by individual skills. Our camaraderie, our efficiency, and our employee-centered mindset (it's essential to us!) have led ManoMano to be recognized for the optimal working conditions we offer.


ManoMano’s priority is to deliver excellent Customer Experience and aims to become a leader in this area. To reach this objective, we seek to deliver an irreproachable service, particularly thanks to an innovative and optimized Customer Service and Seller Support.

Inside the Customer Service & Seller Support Operations organization, the Performance team is part of Operations Excellence, a transversal department dedicated to guarantee ops scalability and continuous performance improvement.

We are looking for a new analyst intern to strengthen the team and help us build strong insights and analytical support, creating and improving powerful reports and dashboards for the teams (operations, planning, quality, delivery) to monitor performance and progress.

The role is at the center of the Customer Service & Sellers Support operations acting as an acknowledged partner capable of providing data intelligence, ad-hoc insights, automated systems and KPIs measurement to internal stakeholders. The team’s missions also include coordinating with the Data teams within ManoMano such as Data Engineering, Business Intelligence and Analytics, but also Finance, outsourcing partners, Product, ...

If you want to manage cross-functional operational topics, push projects forward to deliver measurable and meaningful results, and solve problems from both strategic and very detailed perspectives, this internship is for you.

Your main responsibilities will include:


- Build automated analysis dashboards to support and guide decision making
- Centralize, own and maintain the KPIs catalog and the data bible
- Act as the point of contact for reporting requests and performance measurement implementation, assess feasibility and prioritize requests
- Conduct deep-dive analysis of KPIs with qualitative feedback on past performances
- Be the main point of contact for data/reporting topics with our external partners (BPOs, SaaS editors, …)
- Create a strong relationship with Data Engineering and Operations teams coordinating
- Be accountable for data accuracy, consistency, and guarantee consistency or identify and alert in case of issues
- Explore, design and monitor opportunities of workflows to automate business operations
- Actively participate in transversal strategic projects (Budget/P&L, new business extension, new tool implementation, etc...)

Requirements:


- Bac +4/+5 graduated from a Top Business/Engineering School (or equivalent university education)
- Excellent speaking and writing in French and English (all communications & meetings are in English or French)
- Fast and enthusiastic learner
- Coding skills: Experience of working with Excel with large data sets. SQL and Business Intelligence tools (Tableau, QlikSense…) knowledge is a plus
- A passion for data analysis, data visualisation & optimisation
- A strong analytical and detail-oriented mindset with customer-centric vision
- A creative mindset to identify solutions & shortcuts
- The ability to synthesise and explain your analyses

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