Here’s how you’ll make an impact on the team: 

• Develop and maintain a comprehensive data taxonomy that accurately categorizes and organizes various data elements, ensuring consistency and usability.
• Be a data platform evangelist: Provide training and guidance to product teams on submitting well-defined data design requests and making optimal use of the data dictionary.
• Address questions and offer comprehensive support, fostering a culture of self-sufficiency in data handling.
• Maintain and audit the team's data dictionary with accurate definitions, business rules, and metadata for different data elements.
• Create detailed and standardized documentation for defining various data events, ensuring consistency and clarity in event definition and implementation practices.
• Serve as the primary point of contact for data design requests coming from different product teams across the organization.
• Establish a structured process for reviewing and addressing data design requests, ensuring efficient evaluation and resolution within defined timeframes.
• Facilitate  cross-functional dialogues to clarify requirements, resolve conflicts, and ensure accurate representation of data needs.
• Maintain open lines of communication with product teams, providing them with timely updates on the status of their requests and any potential timeline impacts.
• Oversee the implementation and accessibility of official dashboards, ensuring their easy discoverability.

Here’s what you’ll need to be successful in this role:

• A bachelor's degree in a relevant field such as Computer Science, Data Science, Operations Research, Business Analytics, or a related discipline
• A solid grasp of data concepts, including taxonomy management and data governance principles, coupled with excellent communication skills to effectively collaborate with diverse teams throughout the organization
• 2+ years of Analytics Experience: A minimum of two years of prior experience in an Analytics role, gained within a fast-paced and dynamic environment
• Must have a proven track record of designing and executing training programs, as well as proficiency in documentation and organizational abilities
• Program Management Skills: Strong program management capabilities, underpinned by meticulous attention to detail and a highly organized working style
• Experience with Analytics tooling and platforms
• Product and Engineering Partnership: Experience in collaborating with Product and Engineering teams to tackle technical challenges, demonstrating your ability to bridge the gap between technical and non-technical stakeholders
• Data-Driven Mindset: An inherently data-driven approach, accompanied by extensive experience working closely with data scientists, analysts, and product managers to drive informed decisions