Digital Experimentation Analyst - 25-03073

About the Role

Key Responsibilities

• Establish best practices for experiment measurement, leveraging sound statistical methods.
• Partner with cross-functional teams to design, run, and analyze A/B tests.
• Translate business goals into testable hypotheses and experimental designs.
• Deliver clear, actionable insights to both technical and non-technical audiences.
• Work with developers, analysts, and vendors to ensure experiment setup and data integrity.
• Collaborate with stakeholders to identify optimization opportunities across digital platforms.
• Promote adoption of an experimentation-first culture by sharing results, best practices, and success stories.
• Ensure the program is scalable, repeatable, and sustainable.

Requirements

• Proficiency in Adobe Analytics and SQL.
• Hands-on experience conducting and analyzing A/B tests (digital experimentation).
• Knowledge of statistics and Python.
• Ability to communicate findings and requirements clearly with business and technical stakeholders.
• Strong stakeholder engagement and presentation skills.
• Minimum of a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or related field.
• Proficiency in Python, R, or similar programming languages.
• Strong knowledge of causal inference, digital experimentation, and statistical methods.
• Hands-on experience with SQL.
• Prior experience with Adobe Analytics or similar analytics tools.

Nice to Have

• Master's degree in a quantitative field (Statistics, Applied Math, Computer Science, Economics, Engineering).
• Experience with Adobe Target or comparable testing/optimization platforms.
• Experience with Databricks or other advanced analytics platforms.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or related field.
• Proficiency in Python, R, or similar programming languages.