eCommerce Business Analyst (Hybrid)

Purple•Lehi, UT

5d•Hybrid

About The Position

Purple is a digitally-native vertical brand focused on innovative comfort solutions. We foster a collaborative and inclusive culture where employees can be themselves and contribute to our mission of helping people live and feel better. The Ecommerce organization is dedicated to driving growth by delivering experiences that align with our brand, product strategies, and consumer needs. The Ecommerce Business Analyst will be a key player in this mission, supporting the team by gathering information, analyzing complex problems, and translating data into actionable insights. This role involves monitoring website performance, innovating reporting processes, supporting leadership in goal measurement, and defining KPIs to track the impact of changes and focus resources effectively.

Requirements

Bachelor's degree in Business, Data Analytics, or related field
3+ years of demonstrated success as a business analyst or in a similar role
Experience in omni-channel retail with emphasis on Ecommerce or other DTC channels
Adobe Analytics: hands-on experience monitoring visitor and consumer engagement; ability to establish baselines and interpret differences across analytics platforms
Snowflake: experience querying and organizing data using SQL-based data warehousing
Excel: advanced proficiency for data manipulation, forecasting models, and ad-hoc analysis
AI and LLM prompting: demonstrated ability to use tools like Claude to accelerate analysis, generate insights, and streamline reporting workflows
A/B and multivariate testing: experience designing, executing, and interpreting website experiments with clear business recommendations
Experience compiling and analyzing large datasets and communicating results to senior stakeholders with actionable insights
Experience forecasting or planning using historical data, current trends, and assumptions
Understanding of data visualization best practices through dashboard or business report creation

Nice To Haves

Sigma: experience building and maintaining dashboards in Sigma for self-service business reporting
Looker: familiarity with Looker dashboards and Looks; experience supporting or managing a Looker migration is a plus
NetSuite: experience accessing and interpreting financial or operational data within NetSuite
Commercetools: familiarity with commerce platform data structures and order management reporting
Understanding of basic statistical models (regressions, cluster analysis) and their use in prediction and optimization; experience with R, Python, or similar tools is a plus
Excellent presentation and reporting skills with the ability to communicate complex data clearly to executive audiences
Ability to handle complex and often ambiguous problems while coordinating multiple projects simultaneously
Highly detail oriented, well organized, and able to demonstrate strong leadership and personal accountability within a collaborative team environment

Responsibilities

Own, maintain, and continuously improve Ecommerce performance dashboards in Sigma, ensuring self-service reporting.
Proactively monitor website performance daily, identifying and reporting emerging trends, anomalies, and conversion rate shifts.
Support weekly business reporting on Ecommerce KPIs, providing clear visibility into performance drivers across Website, Amazon, and Inside Sales channels.
Deliver product performance insights, promotional hindsight analysis, and ad-hoc analytical requests for the Ecommerce team.
Partner with the Business Intelligence team to define and maintain necessary tables in Snowflake for KPI reporting.
Play a key role in total-business planning and forecasting, collaborating cross-functionally to set sales and KPI targets.
Maintain end-to-end AOP KPIs in reporting dashboards with consistent updates aligned to changing forecasts.
Oversee new processes for capturing, prioritizing, and delivering financial modeling requests.
Design, execute, and analyze A/B and multivariate website tests, translating results into clear recommendations.
Monitor and report on conversion rate performance, comparing current trends against prior-year benchmarks.
Leverage Adobe Analytics as the primary web data source, establishing and maintaining accurate baselines.
Cross-train on additional web analytics tooling as needed to create detailed promotional recap analyses.
Use AI tools and LLMs (e.g., Claude) to accelerate data analysis, draft insights, and improve reporting workflows.
Drive the Ecommerce team's transition toward self-service analytics, reducing dependency on centralized BI resources.
Develop strong relationships with Merchandise Planning, Product Management, Consumer Insights, Marketing Strategy, and Advertising teams.
Collaborate with Product, Supply, and Ops teams to improve the S&OP process and identify promotional execution opportunities.