Manager, Testing Optimization & Analytics
Introduction
We are looking for an Advanced Analytics and Testing Manager to join our Business Analytics team and lead efforts to solve some of the most complex testing and optimization scenarios in a fast-growing ecommerce company leveraging the trove of online data from our 35M members.
This position requires a combination of strong testing, analytics and statistical skills. Solid understanding of ecommerce businesses that operate in multiple channels and cater to an engaged customer base.
In this role you will help accelerate learnings from a variety of UX/UI, site features, services/offer tests and foster a data driven test-and-learn culture.
What you’ll accomplish…
- Manage RGG’s testing (A/B, multivariate) & optimization program to empower technology, product and business teams with data driven insights.
- Act as primary testing & optimization subject matter expert. Maintain a testing backlog, coordinate execution of key tests across the organization while correcting for cross-impact.
- Proactively monitor live tests and ensure they are appropriately implemented with proper test design, sampling, metrics, statistical and analytical frameworks.
- Build interactive dashboards and perform analyses needed to support the outcome and interpretation of test results.
- Proactively communicate summarized test results and recommendations to stakeholders.
- Work cross functionaly with data science, business intelligence, product and business teams to ensure business requirements and testing standards are met for all tests.
- Drive continuous improvements and advancements in the testing program, including implementing industry best practices in methodologies, technologies and automation.
- Create a testing knowledge base by recording successes, failures and trends accumulated across tests, and effectively communicate these learnings and insights across teams.
- Train product managers, analysts and business stakeholders on testing best practices, interpreting results and recommendations to drive an active test-and-learn culture.
- Identify gaps and emerging trends in testing platforms, methodologies. Provide recommendations on new solutions to continually improve testing capabilities and efficiencies. When needed, work directly with vendors to drive technological advances and to resolve issues.
- Expected to perform these duties with little daily oversight.
THE RIGHT FIT:
You have…
- Degree in a quantitative field such as statistics, mathematics, computer science or economics.
- 5+ years working within an eCommerce and multi-channel (iOS, mobile web and desktop experiences)
- 4+ years working in a testing & optimization focused role, A / B and multivariate testing.
- 4+ years of hands-on SQL experience. Experience working on scripting languages like Python, Viz tools (Tableau, Looker).
- Solid understanding of statistics and analytical frameworks required to implement and interpret test results.
- Excellent communication skills, working cross-functionally to achieve results and a high level of comfort delivering analyses and insights.
- Strong problem-solving skills and demonstrated ability to take initiative.
- Nice to have: Experience with testing platforms built-in house and / or 3rd parties (Optimizely, Target, Optimize, SiteSpect, AB Tasty).
- Nice to have: Experience in conversion optimization, digital marketing, UX design and / or consumer psychology and research.
- Nice to have: Experience running Site/App features, Pricing, Shipping and Marketing experiments.
ABOUT US:
Rue Gilt Groupe combines world-class merchandising, technology and marketing to create the most engaging and satisfying online shopping experience available. Each day, 35+ million loyal Members turn to Rue La La and Gilt for everything from women, men and children's apparel and accessories to home décor and exclusive experiences. Our approach to retail brings excitement to online shopping in a way that not only strategically supports our brand partners, but also inspires our Members daily.
This Company is an equal opportunity employer, and selects individuals best matched for the job based upon job-related qualifications regardless of race, religion, color, creed, sex, sexual orientation, age, ancestry, national origin, gender identity, genetic information, disability, pregnancy, veteran or military status or any other
