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Data Analyst - Circularity

Back Market is the worlds leading refurbished electronics marketplace with a team of 650 people, powering operations in 21 countries (and counting!).Named one of the World's Most Innovative Companies by Fast Company in 2019 and again in 2021, our mission is simple: empowering people to consume tech sustainably by offering folks a high quality, accessible, and more eco-friendly alternative to buying new electronics. Why? Refurbished tech helps . We have indeed contributed to avoid the production of more than 1,000,000tons of CO2e worldwide since our launch in 2014.Be part of an exciting and growing international adventure that will change the way the world consumes tech.You will be part of Data Analytics & Insights Team, backfilling one of our analyst in maternity leave for all the duration of her leave (6 months) and working for Marketing Services or Circularity Team.

YOUR MISSION (IF YOU ACCEPT IT):

  • Be an active contributor to the business and product teams of your domain (Marketing Services or Circularity) by conducting analysis and identifying actionable insights and recommendations
  • Proactively identify key areas of opportunities to improve your domain North Stars
  • Define KPIs and health metrics for assessing and monitoring your area of business
  • Collaborating to prioritization & roadmapping efforts by sizing product opportunities
  • Designing, maintaining over time and contributing to the structure and development of a tracking framework in your product scope
  • Design and evaluate A/B test experiments or other incrementality analysis to continuously improve your domain strategies and product features.
  • Promoting a evidence-based decision making culture by enabling product, engineering, and business stakeholders to run self-service data analysis (tooling, training)
  • Collaborate closely with business & top management : supporting their needs, sharing your analysis & recommendations impactfully to get their buy-in
  • YOU ARE IN THE RIGHT PLACE IF:

  • You have 3+ years of experience in quantitative analysis roles, ideally including having worked closely with product teams. Experience in marketplace is a plus.
  • You have a Bachelors or Masters degree in Computer Science, Mathematics, Statistics, Engineering, Economics or equivalent.
  • You possess a good balance of statistical/technical skills, business acumen, and communication skills
  • You have an advanced analytical mindset and experience uncovering data insights to form hypothesis, designing product experiments, evaluating results and making recommendation
  • You have advanced knowledge of SQL, good knowledge of Python and working knowledge of data warehousing concepts & stacks (ex. BigQuery).
  • You have advanced knowledge of Amplitude, Tableau or similar reporting tools.
  • You have experience with tracking methodologies and software.
  • Experience partnering with internal teams to drive action and providing expertise and direction on analytics
  • WHY SHOULD YOU JOIN US ? - A meaningful job: you will help avoid thousands of tons of electronic waste and fight against planned obsolescence. It counts!- A meaningful company : we became a mission-driven company in January 2022.- Be part of a worldwide growing company based in Europe, the USA and Asia to face great challenges : you will have the freedom to innovate and adopt new ideas!- Work alongside passionate experts: who will share their knowledge and help you develop and grow in your career. - Grow your career : with a flexible career path and a dedicated Learning & Development team. Back Market will help you evolve with personalized internal trainings and external handpicked providers from day 1!- Leadership Academy by Back Market: be a coach not a dictator is at the core of this program ! We train and enable all our leaders to support their team towards achieving goals. Be a manager at Back Market is an unique experience we take by heart.- An attractive salary, equity and a host of benefits including : Lunch voucher, health insurance, relocation package, paid time off for activism in your community, parental benefits, flexible hours, etc- Remote friendly company : up to 3 days of remote work per week!- One Loving Tribe: you will have the opportunity to work in a fast-paced, open-minded and friendly environment. - Be part of one of our Employee Resource Groups createdaround shared identities, common backgrounds and/or special interests crafted to be a safe space and an expressive outlet. - Several internal events: The Monday Brief (weekly)/ The Somehands (monthly)/ The All Hands (annual).- Were here to SABOTAGE: Its our mantra. It keeps us focused on what we aspire to be: a little bit sneaky, always smart, kinda frugal and constantly conspiring to create maximum impact.Back Market is an Equal Opportunity Employer which means we pledge to not discriminate against employees based on race, color, religion, sex, national origin, age, disability or genetic information.. If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team.Back Market is helping to address one of the biggest challenges of our time: climate change. We take this so seriously that we were awarded status as a Société à Mission, or company with a social mission, by the French government. We know we cant tackle a global problem without a globally representative team so we are committed to embedding diversity, equity and inclusion principles in every aspect of our organization. But more importantly, being One Loving & Free Spirited Tribe is in our DNA as it is one of the five foundational values of our company since we got started way back in 2014. We are committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives. We know our lofty goals cannot be reached unless everyone has a seat at the table along with the resources and opportunity to grow.

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    Data Analyst - Circularity

    Entreprise:
    BACK MARKET
    Ville:
    Paris
    Type de contrat: 
    CDI, Temps plein
    Catégories: 
    Data Analyst
    Publiée:
    29.05.2024
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