Data Product Manager
il y a 6 heures
Company Description Believe is a global artist development company. We empower local artists, labels and publishers to grow their audiences at each stage of their careers with expertise, respect, fairness and transparency.Operating in 50+ countries, with more than 2,000 employees, Believe oCers a full range of services including audience development, publishing, marketing and distribution, with a tailor-made approach to fit any artist, label or publisher.Believe champions independence and innovation through a unique model that combines local expertise with a global tech platform, delivering exclusive solutions for artists to promote and monetize their music thanks to strategic partnerships with leading global digital service providers.With a leading portfolio of brands that includes Nuclear Blast, naïve, TuneCore, Groove Attack, Sentric, AllPoints and Byond, Believe artists generated more than 800 billion streams worldwide in 2024 across all genres, and were recognized with more than 70 leading industry awards.Believe is a simplified joint-stock company under French law. Ready to set the tone with Believe ? Job Description About the roleReady to build the future of Music Tech? At Believe, you will work at the heart of the digital music revolution, delivering data products that empower top-tier artists and drive strategic partnership with global giants like TikTok, Spotify, and YouTube.Depending on the projects, the role will alternate between delivering deep analytical insights and designing analytics products or data-driven prototypes, with a strong ownership on delivery and coordination across data teams. You will operate within a mature data ecosystem, leveraging a central Snowflake data warehouse and coordinate with dedicated Data Platform, Data Insights and Data science teams for upstream data preparation and modeling.What you will do:Business Partnership: Act as a trusted advisor for Marketing teams, translating business challenges into clear analytical frameworks and actionable visualisations.Strategic Insights: Deliver deep-dive analyses that directly influence strategic and operational decision-making.Analytics Product Building/ Data-driven discovery & prototyping. Lead lightweight product discovery through data-driven prototyping, quickly validating business hypotheses before industrialization.Advanced Power BI dashboards and sophisticated data models.Operational automation and lightweight tools using low-code / no-code solutions.Data ecosystem Collaboration: Act as the bridge between specialized data teams and business needs. You will:Partner with Data Scientists and Insights Analysts to industrialize marketing initiatives and turn advanced models into scalable, user-facing tools.Collaborate with the Data Platform team to scope data requirements, guiding Data Engineers on ingestion priorities to ensure the Snowflake warehouse supports your product builds.Reliability & Adoption: Ensure all solutions are robust, well-documented, and—most importantly—fully adopted by business users.Continuous Improvement: Proactively identify opportunities to level up data quality, accessibility, and overall analytics standards. Qualifications5+ years of experience as a Data Analyst/ Data Product Manager, with a strong focus on building analytics products.Comfortable operating in roles with evolving scopes, alternating between insight delivery, analytics prototyping and data project management depending on business priorities.Power BI Expert: Deep expertise in data modeling, visualization, and creating intuitive user experiences.Technical Versatility: Solid scripting skills in Python and advanced SQL to bridge the gap between raw data and finished products.Product Mindset: Comfortable owning the full lifecycle of a solution, from initial business discovery to final delivery.Impact-Driven: Curious and pragmatic, you prioritize business value and user adoption over technical complexity.Autonomous: Able to thrive in an environment where you are the lead builder for your scope, supported by a central data platform.Communicator: Exceptional ability to translate complex data insights into clear, persuasive narratives for non-technical stakeholders. You are fluent in english. Additional Information SET THE TONE WITH US:Working at Believe means having individual and collective impact in a fast-growing company At all stages of their careers, Believers are an important part of what we are doing: shaping the future of the music industry. We need teams that truly reflect the diversity of our clients: our international presence is an inspiring and enriching work environment for each one of us, with daily opportunities to connect with our colleagues all over the world. We have two hearts at Believe - our People and our Artists. We believe in THE POWER OF OUR PEOPLE, who grow every day to develop their potential… We aim to provide our Believers with the best environment to thrive. ROCK THE JOB Tailor-made training and coaching program Remote working policyA wellness program "Pauses" with many activities and animations in-houseAccess to Eutelmed, a digital mental health and well-being platform that allows you to speak with an experienced psychologistA healthy and eco-responsible company restaurantIndividual or family health insuranceCSE benefits A rooftopA gym with free classesSING IN HARMONY Ambassador program: an employee volunteering initiative dedicated to all Believers interested in having a positive impact on Diversity, Equity & Inclusion (DEI), wellbeing and the planet.Implementation of the sustainable mobility package "Forfait mobilité durable" => Reimbursement of up to 600€ for public transport/low carbon footprint5 calendar days 2nd parent leave with 100% pay (in addition to the legal paternity or adoption leave)We are committed to having a workforce that is representative of the community it serves at all levels of the organisation. We, therefore, welcome applications from all backgrounds and all sections of the community regardless of age, disability, gender, race, religion and sexual orientation.Contract type: Regular
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