Σύμβαση αορίστου
Mexico City
Mexico City
Data
Full - Time
23-Jul-2024

It’s not just about data, it’s what you do with it! Do you thrive in fast-paced environments where you can transform data into actionable insights and groundbreaking products? If so, join our revolution as an Analytics Product Owner!

KEY RESPONSIBILITIES

Own the Data, Drive the Vision:

  • Be the Big Boss of your data product: You are accountable for the entire lifecycle of cutting-edge Analytics Products, from ideation to launch and beyond, ensuring they deliver exceptional value to our business and advance our Tech ambitions.
  • Embrace an agile mindset: Partner closely with a high-performing Product Team, prioritizing the roadmap and backlog in a dynamic, sprint-driven environment, adapting to the ever-evolving landscape of BeautyTech.

Transform Data into Actionable Insights:

  • Be a visionary leader: Collaborate with Business Leads to define a compelling product vision and value proposition, harnessing the power of data to unlock new opportunities and drive innovation.
  • Be a compelling storyteller: Communicate the product vision and roadmap effectively, using data visualization and storytelling to inspire and align the Product Team, Business Leads, and stakeholders.
  • Be a champion for change: Guide stakeholders through the product lifecycle, managing expectations and incorporating feedback to refine the product vision, ensuring it remains at the forefront of BeautyTech.

Build & Deliver Exceptional Data Products:

  • Transform vision into reality: Translate the product vision into actionable user stories, features, and specifications, building a prioritized backlog ready for development, always focusing on delivering tangible value through data-driven solutions. 
  • Be the voice of the customer: Collaborate closely with customers, stakeholders, and subject matter experts to deeply understand their needs and translate them into valuable data-driven product features, shaping the future of BeautyTech. 
  • Empower your team: Guide the Product Team towards building the right data products at the right time, maximizing value delivery by focusing on the highest-priority features and ensuring they integrate seamlessly in our ecosystem.
  • Champion continuous improvement: Regularly demo sprint outputs and working software, gathering feedback to continuously refine the product and enhance its impact, staying ahead of the curve in the ever-evolving world of BeautyTech.

Measure & Celebrate Success with Data:

  • Be data-driven: Define and monitor key performance indicators (KPIs) that measure the efficiency, quality, and business value of your product, reporting on progress and insights, showcasing the tangible impact of data on BeautyTech.
  • Celebrate achievements: Showcase the impact of your data products through compelling presentations and reports, highlighting their contribution to L'Oréal's BeautyTech leadership and demonstrating the transformative power of data.

REQUIRED SKILLS

Analytical Mindset & Entrepreneurial Spirit:

  • Thrive on ownership: You are passionate about taking initiative, embracing challenges, and driving your data product towards success with an entrepreneurial spirit, pushing the boundaries of BeautyTech. 
  • Think strategically: You possess a strong understanding of market trends, customer needs, and competitive landscapes, particularly within the BeautyTech domain, leveraging data to identify opportunities and drive innovation. 
  • Make data-driven decisions: You leverage data and analytics to inform your decisions, prioritize features, and measure the impact of your product, ensuring your decisions are rooted in data and contribute to our BeautyTech leadership.

Technical Skills:

  • Master of Analytics Tools: Proficiency in analytics tools such as Python, Tableau, and Power BI is essential for extracting insights and driving data-informed decisions
  • Strong understanding of Agile methodologies: Experience working in Agile/Scrum environments is key to effectively collaborating with your team and delivering value iteratively, adapting to the fast-paced nature of the BeautyTech landscape.

Join our team and leverage the power of data to help us shape the future of beauty! 

 

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