Senior Data Analyst - M/W

Partech; Paris (TX); On-site; USD 79,000 - 112,000; Full time

Job summary

ManoMano in Paris is seeking a Senior Data Analyst to join the Advanced Analytics team. You will carry out complex analyses across Marketing, Catalog, Operations and Web Analytics, from data collection to visualization.

You will report to the Lead Data Analyst and impact decisions by delivering actionable insights and recommendations for growth and margin optimization.

Qualifications

• Master’s degree from a leading Engineering School, or an equivalent university degree.
• 5+ years of relevant experience in an analytical, reporting, or data-related role, ideally within a scale-up, e-commerce company, or marketplace platform.
• A rigorous, detail-oriented analytical mindset with a strong customer focus.
• Advanced SQL and Python - Git and Streamlit appreciated.
• Strong advanced analytics skills among which A/B testing (incl. Bayesian domain), advanced causal inference and logistic regression, handling and fine-tuning on-the-shelves algorithm such as Prophet and xgboost algorithm.
• Strong knowledge of machine learning topics, including causal inference, regression, classification, and time series.
• Unbiasing and causality are words you are familiar with.
• You’ve already adopted GenAI
• Strong business sense to transform insights into tangible business actions.

Responsibilities

• Contribute to the Advanced Analytics roadmap.
• Carry out complex analyses, from data collection and cleaning, calculation and choice of relevant axis of analysis, restitution and data visualisation.
• Provide our business partners with clear recommendations of actions based on your analyses that will contribute to maximizing our sales and margin.
• Being a role model in the Analytics team when it comes to the most complex analyses, which can be done through peer code review and best practice, work on state of the art tools to help other analysts or data partners do their analyses.
• Partner with all other departments frame problems, prioritize opportunities, and communicate trade-offs and results clearly.

Skills

Advanced SQL

Python

A/B testing

Bayesian analysis

Time series analysis

Causal inference

GenAI

Machine learning basics

Business acumen

Strong communication

Education

Master’s degree in a relevant field

Tools

Git

Streamlit

Job description

In less than a decade, ManoMano has become a key player in the home improvement and renovation sector.

Launched in 2013, ManoMano is the reference online marketplace for DIY, home improvement and gardening. Co-founded by Philippe de Chanville and Christian Raisson, ManoMano brings together the largest offer of DIY & gardening online products: electricity, plumbing, hardware, frames, indoor and outdoor furniture, tools, etc. With more than 5 000 seller partners and 11 million products, ManoMano currently employs 500 people and operates in 6 markets (France, Belgium, Spain, Italy, Germany, United Kingdom).

Motivated by the prospect of improving the living environment of their customers and convinced of the importance of the home market for sustainable consumption habits, the ManoMano teams want to help write a new page in their industry, which is struggling to reform itself. ManoMano brings to a highly technical world the power of its sector expertise, combined with that of data and digital in all its dimensions, to offer our customers easy access to innovative advice, products and services 100% online.

The ambition of the Founders and, above all, of Manas & Manos? To accompany this sector transformation with a strong culture of boldness, in an ingenious and frugal organization that places people and teams at the heart of the company's development.

OUR COMPANY CULTURE

People are at the heart of ManoMano's culture around our 3 core values: boldness, ingenuity, and responsibility.

TEAM AND CONTEXT

The Analytics team gathered data analysts, analytics engineers, tracking engineers and a UX researcher. The team combines high daily support on operational teams, and transversal expertise to tackle deeper data challenges with one common goal : help the company to make the best decision thanks to our data.

We are seeking a Senior Data Analyst for our Paris office to join the Advanced Analytics team. You will have to carry out complex analysis based on the ManoMano database. You will be responsible from start to finish: data collection and cleaning, calculation and choice of relevant axis of analysis, restitution and data visualisation.

You will be reporting to the Lead Data Analyst. You will not be assigned to a particular functional scope, but you will intervene in any ManoMano main scope : Marketing, Catalog, Operations, Web Analytics, etc.

YOUR RESPONSIBILITIES

• Contribute to the Advanced Analytics roadmap

• Carry out complex analyses, from data collection and cleaning, calculation and choice of relevant axis of analysis, restitution and data visualisation

• Provide our business partners with clear recommendations of actions based on your analyses that will contribute to maximizing our sales and margin

• Being a role model in the Analytics team when it comes to the most complex analyses, which can be done through peer code review and best practice, work on state of the art tools to help other analysts or data partners do their analyses.

• Partner with all other departments frame problems, prioritize opportunities, and communicate trade-offs and results clearly

MUST HAVE

• Master’s degree from a leading Engineering School, or an equivalent university degree

• 5+ years of relevant experience in an analytical, reporting, or data-related role, ideally within a scale-up, e-commerce company, or marketplace platform

• A rigorous, detail-oriented analytical mindset with a strong customer focus

• Advanced SQL and Python - Git and Streamlit appreciated

• Strong advanced analytics skills among which A/B testing (incl. understanding of Bayesian domain), advanced causal inference and logistic regression, handling and fine-tuning on-the-shelves algorithm such as Prophet and xgboost algorithm

• Strong knowledge of machine learning topics, including causal inference, regression, classification, and time series

• Unbiasing and causality are words you are familiar with

• You’ve already adopted GenAI

• Strong business sense to transform insights into tangible business actions

HIRING PROCESS

• Introductory call with a talent acquisition manager to get a feel for your motivations and talk about the role.

• A meeting with the Lead Data Analyst, including a business case (1h)

• A meeting with the Head of Analytics, to assess your career path and fit (1h)

• A meeting with the VP Data (45’) to finalize the process

• You are welcome to apply to ManoMano, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.