Senior Analytics Engineer, Warby Parker

• Our ideal candidate is experienced in translating complex data sets into clear, actionable insights and recommendations that drive business operations and strategy
• Backed by 3+ years in a data engineering, analytics, or relevant data-based business role
• Proficient in a scripting language (e.g., Python, R)
• Proficient in forecasting, statistics, machine learning, or other quantitative areas
• Well acquainted with Looker and writing LookML and SQL queries
• A strong verbal and visual storyteller who can translate data into clear, actionable takeaways and recommendations for diverse audiences
• Experienced in building and maintaining stakeholder relationships
• Not on the Office of Inspector General’s List of Excluded Individuals/Entities (LEIE)

Desirable

• Warby Parker is looking for a Senior Analytics Engineer to play a key role in powering data-driven decision-making in our digital business
• As a member of the Data team, you’ll be vital to the business's day-to-day operations by owning data reporting and analysis that informs cross-functional initiatives
• Your data-first perspective will also shape the development of our long-term business strategy and planning
• Leverage Looker and BigQuery to create and maintain scalable, performant, and reliable data models to power visualizations, reporting, and analysis, enabling critical areas of the Warby Parker omnichannel business
• Conduct reporting and analysis while translating data into pipelines, dashboards, and measurement solutions to share with leadership and key stakeholders, ultimately guiding business recommendations
• Construct end-to-end ELT pipelines and external integrations into the data warehouse
• Be a strategic partner to the Ecommerce team, helping to define KPIs, support feature engineering for data science workflows, and maintain SLA reporting
• Collaborate with cross-functional stakeholders and data stewards to determine business KPIs, metrics, and data requirements for reporting needs