Senior Data Product Analyst

Senior Data Product Analyst
Empresa:

Vestiaire Collective



Função de trabalho:

Ciências

Detalhes da Vaga

Vestiaire Collective is the leading global online marketplace for desirable pre-loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh and Hong Kong and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York.We currently have a diverse global team of 700 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective. We are proud to be a BCorp.About the role ?As a Senior Data Product Analyst at Vestiaire Collective, you will be instrumental in shaping our future. Reporting directly to the Head of Data Products and in collaboration with the VP of Product, you will be responsible for defining KPIs, developing insightful dashboards, and conducting in-depth data analyses. Your work will generate hypotheses and pinpoint opportunities for growth. A champion of a data-driven culture, you will ensure objective analysis of our initiatives' impact. Your primary focus will be on expanding our buyer community through a variety of Marketing Technology opportunities, including Performance Marketing, SEO, and CRM systems.What you'll do Identify growth opportunities for new buyers by enhancing our SEO strategies, Performance Marketing, and CRM systemsEnsure precise definition and continuous monitoring of team KPIsDefine onsite event data to collect for both Product analytics and Marketing analytics purposesOversee the implementation and improvements of our marketing tracking systems (e.g., Adjust, CommandersAct) and lead efforts to maintain consistent data qualityDevelop and maintain reports & dashboards to communicate key insights to stakeholders effectivelyConduct onsite A/B testing to validate core hypotheses and measure the impact of product changes.Perform data querying and analysis to provide actionable insights for the tribe, facilitating decision-making even when A/B tests are not feasibleWho you are Bachelor degree in Statistics/Economy/Business (with focus on data and informatics) / Engineering or related fieldAt least 3 year of professional work experience analyzing product or user behaviorStrong SQL knowledge with experience in querying large, complex data setsKnowledge of statistical methods and techniques, familiarity with experimentationExperience with reporting and data visualization tools such as Tableau, Power BI, Looker, Qlik, etc. - Tableau is an advantagePassionate about the fashion/luxury industryKnowledge of privacy constraints in marketing measurement and experience with Mobile Measurement Platforms or CRM systems like Braze is highly desirableKnowledge of Marketing analytics and/or SEO analytics is highly desirableExperience working in ecommerce is a plusWhat we offerA meaningful job with an impact on the way people consume fashion and promote sustainabilityThe opportunity to do career-defining work in a fast-growing French-born scale upThe possibility to work as part of a globally diverse team with more than 50 nationalitiesTwo days to help Project - reinforcing your activist journey and volunteer for an associationSignificant investment in your learning and growthCompetitive compensation and benefits packageAs full member of our entrepreneurial project, you will be eligible to free sharesSurveys show that women and members of underrepresented communities only apply for a job if they meet 100% of the required conditions. Does this sound like you? If so, Vestiaire Collective encourages you to reconsider your application. We look forward to receiving your application!Vestiaire Collective is an equal opportunities employer#J-18808-Ljbffr


Fonte: Allthetopbananas_Ppc

Função de trabalho:

Requisitos

Senior Data Product Analyst
Empresa:

Vestiaire Collective



Função de trabalho:

Ciências

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