REMOTE - Lead Digital Analyst (Experimentation Strategy)

Role overview

Workplace arrangement

• Qualified candidates living outside a 50-mile radius of a listed hub may work remotely.
• Candidates within 50 miles of a hub should expect a hybrid arrangement, working both from home and in the office.
• Listed hub locations are Bloomington, Illinois; Richardson, Texas; Dunwoody, Georgia; and Tempe, Arizona.

Responsibilities

• Analyze clickstream, funnel, journey, conversion, engagement, and experience data to find friction points and high-value tests.
• Quantify opportunity size and establish baselines to prioritize experiments and plan roadmaps.
• Work with Experimentation Science to define hypotheses, metrics, guardrails, segments, and analysis requirements before launch.
• Conduct pre/post and exploratory analyses to explain experiment results and recommend next tests.
• Create recurring views of portfolio performance, learning velocity, win rates, and realized value.
• Identify tagging, telemetry, and data quality gaps that affect reliable measurement.
• Translate findings into recommendations for product, design, marketing, and growth partners.

Required qualifications

• Bachelor's degree in analytics, statistics, economics, business, computer science, mathematics, or related field, or equivalent practical experience.
• Strong SQL and analytical skills with experience using large, complex datasets.
• Familiarity with clickstream analytics and A/B testing tools and associated data.
• Experience in digital, customer, product, marketing, or experimentation analytics and translating analysis into recommendations.
• Working knowledge of data visualization and BI tools, measurement frameworks, data quality practices, and analytical documentation.
• Strong communication and collaboration skills across technical and non-technical teams.

Preferred qualifications

• Python or R proficiency is a plus.
• Preferred experience includes regulated enterprises; digital journeys; insurance or financial services; growth analytics; personalization; experimentation; or marketing technology.
• Preferred experience includes cross-functional product or pod-based work that moves insights into implementation.
• A focus on measurable outcomes, reusable capabilities, clear documentation, and continuous learning is preferred.

Compensation

• Potential starting salary range is $97,000–$142,000, based on skills, background, and experience; the high end is limited to applicants with significant relevant experience.
• Potential yearly incentive pay is up to 15% of base salary.

Work authorization