Digital Experimentation Analyst

About the Role

This position is part of the Digital Experimentation Team within the Digital Customer Experience Team. The Digital Experimentation Analyst will be responsible for managing and delivering the Digital Experimentation program. This role involves designing, executing, and analyzing A/B tests, establishing best practices for experiment measurement, and fostering a culture of experimentation within the organization. The position requires a hybrid work schedule (Tuesday-Thursday in-office, Monday and Friday virtual) and is a 9-month contract role with no opportunity for conversion at this time.

Responsibilities

• Establish best practices for measurement of experiments using statistical methods.
• Assist others in designing, analyzing, and communicating the results of their experiments.
• Design, execute, and analyze A/B tests.
• Build a culture of experimentation by running successful tests, building partnerships with key stakeholders, and promoting a test-and-learn culture.
• Identify opportunities for analysis and testing on the site to increase conversion or drive revenue improvement.
• Use data to communicate recommendations to stakeholders and promote the adoption of a test-and-learn culture.
• Work with stakeholders to understand business needs and develop viable solutions.
• Ensure the experimentation program is scalable, repeatable, effective, and meets stakeholder expectations.
• Collaborate with vendors and internal analytics implementation teams to develop reporting strategies and ensure accurate data collection.
• Work with developers to set up testing campaigns.
• Define best practice approaches for a successful experimentation program.

Qualifications

Minimum Qualifications:

• Bachelor's degree in Statistics, Applied Mathematics, Computer Science, Economics, Engineering, or a related field.
• Proficiency in Python, R, or other relevant modern programming languages.
• Experience with digital experimentation and causal inference.
• Experience with SQL.
• Experience with Adobe products or similar testing tools.

Preferred Qualifications:

• Master's degree in Statistics, Applied Mathematics, Computer Science, Economics, Engineering, or a related field.
• Experience with marketing technology tools, including Adobe Analytics and Adobe Target.
• Core technical skills, including experience with Databricks (preferred).
• Ability to handle multiple responsibilities/projects on strict deadlines with minimal supervision.
• Outstanding analytical thinking and problem-solving abilities.
• Ability to translate business goals into experiments.
• Excellent interpersonal and communication skills with the ability to tailor your approach to different audiences.
• Ability to work effectively with a range of stakeholders and convey technical information in a clear and engaging way.

Pay

$50 - $55/Hr. The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment.

Benefits

Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.