Manager, E-Commerce Experimentation in Secaucus, NJ at Quest Diagnostics

Job Description

Manager, E-Commerce Experimentation – CIT (Remote)

Summary

Are you the kind of person who is constantly thinking of creative ways to improve your and your team’s work? Do you have an owner mentality? Do you want to be part of an amazing team empowering consumers to improve their health?  Are you passionate about running online experiments that move the needle for your business partners? Do you have the expertise to deliver A/B and multivariate tests for an E-Commerce business?  If yes – and you have the track record to back it up – read on!

The Manager, E-Commerce Experimentation is responsible for the design and execution of our online experimentation program, using A/B and multivariate testing tools like Adobe Target or Optimizely. S/he will also use our analytics and tag management tools (Google Analytics 360, MixPanel, TealiumIQ, and Tealium CDP) to identify opportunities to increase revenue, conversion rate, revenue per visitor, improve the customer experience and grow the business. S/he will partner closely with marketing peers, Marketing Research & Analytics and data science teams to advance data-based decision making to accelerate the growth of Quest’s direct to consumer (DTC) business.

Duties And Responsibilities

The Manager, E-Commerce Experimentation supports the business priorities and success of Quest Diagnostics’ Direct to Consumer business by:

Designing experiments to make buying easier and improve customer experience.
Implement experiments by improving language, usability of website and increase conversion rate, revenue per visitor, and repeat purchasers.
Analyze data generated by experiments and present findings to stakeholders.
Develop scalable tools and techniques to evaluate experiment data and report results.
Identify opportunities and hypotheses for future testing via digital analytics reporting, statistical analysis and data mining.
Create visualizations via Tableau to communicate the results of statistical tests and analysis to stakeholders.
Advise other team members on experiment design and measurement.
Meet with stakeholders to formulate test objectives and ensure tracking is in place to support these objectives.
Provide expert assistance in designing and sizing experiments to provide necessary levels of power and precision.
Monitor experiments to ensure test groups, control group, and tracking are set up correctly.
Assess current practices and make constructive recommendations for future tests.
Present test design, results, and analysis to audiences with diverse roles and backgrounds
Understand and apply best practices for designing statistical experiments, including sample-size calculations.
Manage a workload of multiple projects and support several teams within Consumer Initiated Testing (CIT) organization.
Use Python or R to perform deep-dive statistical analysis to supplement topline results of experiments.
Provide overall website traffic and sales analysis and reporting; provide ad-hoc reporting as needed using Google Analytics 360 and MixPanel.

Qualifications

Required Work Experience:

5 years’ previous E-Commerce experience (DTC E-Commerce experience)
3 - 5 years’ previous E-Commerce testing experience using Adobe Target or equivalent (Optimizely, Google Optimize, VWO, Monetate)
3 - 5 years’ previous E-Commerce analytics experience using Google Analytics or equivalent (Google Analytics 360, Adobe Analytics, MixPanel)
3 - 5 years’ experience with HTML, CSS, Javascript, and jQuery
Applied experience in experiment design, hypothesis testing, marketing analytics, or statistical analysis.
Well-developed quantitative skills and analytical thinking
Strong computer skills, including advanced Excel and Data Visualization (Tableau, PowerBI, or Google Data Studio) skills
Ability to deal with ambiguity and a changing environment
Strong organizational skills
Ability to work in a team-oriented environment
Ability to meet concurrent, rigorous deadlines in a fast-paced environment

Preferred Work Experience

Expert knowledge / certification in Adobe Target or equivalent (Optimizely, Google Optimize, VWO, Monetate)
Comfortable with tag management tools like Tealium or equivalent (Adobe Launch, Adobe DTM, Google Tag Manager)
Ability to write SQL and use database query tools
Experience with statistical Analysis software / programming languages like SAS, R, or Python
Past experience with another healthcare or highly regulated Direct to Consumer business.

Physical And Mental Requirements

    Ability to multi-task
    Analytical skills
    Ability to follow verbal or written instructions
    Thinking analytically
    Using effective written and verbal communication
    Handling stress & emotions
    Concentrating on tasks
    Making decisions
    Adjusting to change
    Examining/observing details
    Sitting for long periods at a time

Travel Required: Domestic Up to 25%

Required Education: Bachelor’s Degree in Statistics or Marketing, or equivalent combination of experience and education. MBA or advanced degree in statistics preferred.

Languages

English - Required

Competencies

Analytical capability
Strategic mindset   
Attention to detail
Optimizes work processes, manages execution
    Decision quality
    Balances stakeholders
    Tech savvy
    Drives results
    Conflict management
    Effective Communication
    Teamwork/Collaboration
    Customer Focus

Quest Diagnostics has many career opportunities for individuals whose talent, initiative and dedication will complement our belief that the patients come first and that values do matter. We work to earn our customers’ trust every day by providing the highest quality diagnostic information services in a professional, accessible and informative way.

We have a large, recognized brand; we offer flexibility and autonomy, great support, pay and benefits and a comprehensive training and onboarding program.

All requirements are subject to possible modifications to reasonably accommodate individuals with disabilities.

Quest Diagnostics is an Equal Opportunity Employer: Women / Minorities / Veterans / Disabled / Sexual Orientation / Gender Identity / Citizenship