Lead Business & Data Analyst
Paris, FR
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Launched in 2013 and following 7 years of strong growth, French Home Improvement tech company ManoMano seems unstoppable!Thanks to the success of our fundraising (300 million euros so far), we now have more than 530 Manas & Manos located across our 3 offices : Paris, Bordeaux and Barcelona.

Our business platforms are represented in 6 countries : France, Belgium, Italy, Spain, UK and Germany. They carry over 4 million products and work with more than 3,000 sellers highly selected.

Proud to be part of the Next 40 since 2019 (Top 40 French startups), we have the objective to reinvent the Home Improvement experience by providing customers a one stop shop solution for easy access to online tips, products and innovative services.

More than anything, joining ManoMano presents a fantastic personal experience, where global projects and core values are underpinned by individual skills.

Our camaraderie, efficiency and employee-focused mindset (particularly important to us!) have led ManoMano to become renowned for the optimal working conditions it provides.

Inside the growth & data’ team, the Business & data analytics team is transversal to the company, tackling issues for the different teams ranging from sourcing (recommendations), operations (forecasts), product (web analytics).

  • Senior data analysts will work hand-by-hand with those teams, not acting as support but bringing actionable recommendations.
  • If you love managing cross-functional stakeholders, pushing projects forward to deliver measurable and strategically meaningful results, and solving problems from both 30,000 feet as well as deep in the details, this is the role for you.

    Your main tasks will include : Understand, explain & optimize ManoMano’s business performances Become expert for one or more of the departments (sourcing, operations, product, acquisition & retention ) and act as a subject Matter Expert Develop & automate analysis to understand the business performances based on web analytics tools , Tableau / Excel / SQL (more details can be given in the interviews)Proactively detect issues and identify their root causeIdentify and size drivers of growth (optimization & pain points resolution), autonomously provide recommendations Act as the data point of entry’ for the different teams Identify, define & prioritize needs for data products / optimizations / analysisMonitor & drive the delivery of these data projects (data engineering, data science, data analytics ) Deep dive ad’hoc business problems / analytics requests for different teams Tackle ad’hoc business topics autonomously, managing the analytical loop’ and deriving recommendations to the CODIR Ensure the best data appropriation & use by teams Democratize data (trainings, dissemination & usage of tools)Guarantee that analytical methodologies are correctly applied This position requires to combine a strong analytical mindset, a business acumen and advanced analytical capabilities (SQL is a must-have, Python nice-to-have).

    Your job will have a considerable impact on ManoMano’s growth


  • Business and / or analytics background, bac + 5 or equivalent
  • 4-5 years experience in an analytical position (Consultant, Analyst )
  • A passion for data analysis, data visualization & optimization
  • A strong analytical & detail-oriented mindset
  • Full autonomy in problem solving
  • The ability to synthesize and explain your analyses
  • A creative mindset to identify solutions & shortcuts
  • The capacity to design automated tools
  • Mastering SQL
  • eCommerce experience is a plus as well as coding in Python
  • What manomano offers

  • Fast growing start-up environment
  • International & agile company
  • 2 days per week work from home
  • 7 weeks holidays
  • Amazing work environment with cool colleagues : -) in Paris 17th
  • Attractive salary (package)
  • If all the above rings a bell, it probably means that we are meant to meet each other ! Please get in touch. So, come and plant the seeds of your success and gather the fruits of your labour

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