Senior Tech Analyst: Data Forecasting & Catalog Analytics

Wayfair; Richmond (VA); On-site; USD 28,000 - 41,000; Full time

Job summary

Wayfair is seeking a Senior Technical Analyst to drive data-driven decision making across demand planning and analytics. You will analyze large datasets, build scalable data structures, and integrate insights into back-end systems to enhance installation service, catalog performance, and overall efficiency.

With a strong background in SQL and cloud data platforms, you will collaborate with engineers, data scientists, and product managers to develop strategic KPIs and action plans that improve

Qualifications

• Bachelor's Degree required.
• MS in quantitative fields with strong academic record.
• Proficient in SQL and Google Cloud Platform.

Responsibilities

• Perform statistical analysis on large datasets and generate performance insights across attributes to improve operations and results.
• Create an efficient data structure usable across the org in a dynamic environment.
• Transfer data to Wayfair's back-end systems to improve installation service and efficiency.
• Collaborate with the operations analytics team to develop action plans across product categories that maximize business results.
• Develop department-level performance assessments to show the company's trajectory across KPIs.
• Partner with business, service and technology teams to align data-driven strategy with business goals.
• Develop metrics and reports to measure the impact of strategic initiatives on performance and trends.
• Join the forecasting and close team to grow the data science product community at Wayfair.

Skills

Data analysis

Statistical analysis

SQL

Education

MS in quantitative fields

Tools

Google Cloud Platform

Job description

Wayfair is seeking a Senior Technical Analyst to drive data-driven decision making across demand planning and analytics. You will analyze large datasets, build scalable data structures, and integrate insights into back-end systems to enhance installation service, catalog performance, and overall efficiency.

With a strong background in SQL and cloud data platforms, you will collaborate with engineers, data scientists, and product managers to develop strategic KPIs and action plans that improve