Manager, Data Analytics - Engineering & Platform

Job Description

Position Summary... The Manager, Data Analytics supports the development and implementation of data-driven strategies to optimize business performance. Responsibilities include pricing, promotional strategies, market analysis, web analytics, and reporting, fostering cross-functional collaboration to drive insights and decision-making. What you'll do... We are seeking a Data Platform Lead to own and manage our GCP/BigQuery infrastructure, serving as the central point of accountability for all reporting and consumption datasets across the organization. This role is responsible for designing, optimizing, and governing our data platform to ensure high-quality, reliable, and performant data assets are available to stakeholders. The ideal candidate brings strong analytical skills with meticulous attention to detail, ensuring data accuracy, consistency, and integrity across all downstream reporting. They will collaborate with cross-functional teams to define data standards, implement best practices for data modeling and pipeline development, and drive continuous improvement in how we surface insights to the business. A deep understanding of BigQuery architecture, cost optimization, and data governance principles is essential for success in this role. The Manager may identify gaps in reporting infrastructure, implement best practices, and introduce automation. Training and supporting other departments in self-service reporting and maintaining vendor relationships for analytics tools are also key responsibilities. Cross-functional collaboration is essential, working with all business units to ensure alignment and integration of analytics initiatives. The Manager may present data and recommendations to senior leadership and stakeholders, ensuring data-driven decision-making across the organization. Qualifications GCP and BigQuery architecture expertise Data modeling (dimensional and consumption-layer design) ETL/ELT pipeline development SQL and query performance optimization Cost optimization and resource management in BigQuery Cloud-native data engineering best practices Leadership Expectations: Respect the Individual: Demonstrates and encourages respect for all; builds a high-performing team; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace and experiences where all associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer experience for all; identifies, attracts, and retains the best team members. Creates a discipline and focus around developing talent, through feedback, coaching, mentoring, and developmental opportunities; promotes an environment allowing everyone to bring their best selves to work; empowers associates and partners to act in the best interest of the customer and company; and regularly recognizes others’ contributions and accomplishments. Builds strong and trusting relationships with team members and

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