Wayfair Careers

Senior Analyst (Pricing & Profitability/Profit Management Lifestyle & CA)

Boston, MA
Engineering - Infrastructure


Job Description

Multiple Openings. Senior Analyst (Pricing & Profitability/Profit Management Lifestyle & CA) for Wayfair LLC in Boston, MA to develop strategic growth and profitability plans for product verticals for a wide variety of brands; work closely with category management, operations, marketing, and engineering to develop category dynamics knowledge; engage with internal business partners to align priorities, develop strategic plans, and measure performance improvements; identify opportunities to accelerate growth and build tools to analyze and test new pricing strategies; conduct rigorous analytics to assess data from tests and experiments for growth opportunities; train analysts on dynamic pricing algorithm; teach analysts coding in SQL, Hive, Hadoop, and Python; monitor operational and financial performance data; manage and develop team of analysts; and work closely with engineering and operations teams to optimize performance of dynamic pricing system.

Requires: Bachelor's degree in Mathematics, Economics, Finance, or related field (willing to accept foreign education equivalent) plus two years' experience developing algorithms for pricing system development. One year of experience must include: Leading development of Big Data Analytics solutions leveraging the latest data analysis techniques (including machine learning) for large quantities of structured and unstructured data; Leading executive-level communications with multiple stakeholders regarding strategic pricing alignment and strategy and project status updates, including business leaders, project managers, engineering teams, data scientists, finance teams, and marketing leaders; Developing business cases and financial strategy for product development, including defining business goals, creating execution steps, and analyzing business return; Reporting on business case analysis and revenue analysis using Excel; Interfacing with cross-functional teams, engineers, category mangers and buyers; Performing experimental design and hypothesis testing including A/B testing and multivariate testing (MVT); Building predictive models, using historical data to predict target markets, customer segments, messaging and spending; Evaluating predictive models including ROI analysis and back testing on historical data for evaluating future predictions; Utilizing Vertica and Hive to process and analyze clickstream data and understand customer behaviors to better inform marketing and pricing strategy; and Identifying and accessing disparate data sources to generate business insights, and building and maintaining algorithm pricing systems to drive business decisions for $100 million and rapidly growing business. Eligible for employee referral program.



About Us:

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

Tag: ENGR-INFR
Requisition ID: 36509