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Experimentation Analyst Jobs (NOW HIRING)

INSPYR Solutions

Data Analyst

Almont, CO · On-site

$70 - $73/hr

  • Medical

  • Retirement

Design, implement, and analyze A/B tests and other experimental designs (e.g., multivariate tests, holdout groups, switchback experiments) across product and marketing initiatives. * Apply causal ...

Home Depot

Sr. Decision Analyst, Experimentation

Atlanta, GA · On-site

$81K - $103K/yr

Explore new technical landscape in the world of Experimentation and bring it to the fold for Home Depot Key Responsibilities: * 65% - Data Analytics - Analyzes large volumes of data and leverages ...

Kanak Elite Services Inc

Data Analytics

Malvern, PA · On-site

TITLE: MARKETING DATA/EXPERIMENTATION ANALYTICS (LEVEL 3) LOCATION: MALVERN, PA (HYBRID ROLE) RELOCATION IS FINE DURATION: INITIAL 6-12 MONTHS + OPTIONS TO EXTEND - LONG TERM CONTRACT ROLE ...

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Experimentation Analyst information

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$64K

$84.3K

$94K

How much do experimentation analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for experimentation analyst in the United States is $84,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $83,000.00 per year, depending on experience, location, and employer.

What is the difference between Experimentation Analyst vs Data Analyst?

AspectExperimentation AnalystData Analyst
Required credentialsBachelor's in statistics, data science, or related field; familiarity with A/B testing toolsBachelor's in statistics, mathematics, or related field; proficiency in data visualization and analysis software
Work environmentCollaborates with marketing, product teams, and data science teams on testing initiativesWorks across departments to analyze data, generate reports, and support decision-making
Employer and industry usageCommon in tech, e-commerce, and digital marketing companies focusing on user experience optimization

The Experimentation Analyst primarily focuses on designing and analyzing A/B tests to optimize products and user experiences, often working closely with product teams. Data Analysts have a broader scope, analyzing large datasets to generate insights across various business functions. While both roles require strong analytical skills and familiarity with data tools, Experimentation Analysts specialize in testing methodologies, whereas Data Analysts focus on comprehensive data analysis and reporting.

What are the key skills and qualifications needed to thrive as an experimentation analyst, and why are they important?

To thrive as an Experimentation Analyst, you need strong analytical skills, a solid understanding of statistics, and experience with A/B testing, typically supported by a degree in a quantitative field. Proficiency with tools like SQL, Python or R, and experimentation platforms such as Optimizely or Google Optimize is commonly required. Attention to detail, critical thinking, and effective communication are valuable soft skills that help translate data insights into actionable recommendations. These skills are crucial for designing robust experiments, interpreting results accurately, and driving data-informed decisions within organizations.

What are some common challenges faced by experimentation analysts when designing and interpreting A/B tests?

Experimentation Analysts often encounter challenges such as ensuring statistically significant results, controlling for external variables, and avoiding biased sampling when designing and analyzing A/B tests. Interpreting results can also be complex, especially when dealing with ambiguous outcomes or when multiple experiments run simultaneously. Collaborating closely with product managers, engineers, and data scientists is critical to ensure that test designs align with business goals and that findings are actionable. Staying up to date with best practices in experimental design and data analysis helps address these challenges effectively.

What is an experimentation analyst?

An Experimentation Analyst is a professional responsible for designing, implementing, and analyzing experiments—often A/B tests or controlled trials—to inform business decisions and optimize outcomes. They work closely with data, using statistical methods to determine the impact of changes to products, services, or processes. Experimentation Analysts collaborate with cross-functional teams to form hypotheses, establish test plans, and interpret results to provide actionable insights. Their work helps organizations make data-driven decisions and continuously improve their offerings.
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Experimentation Analyst jobs near you
Infographic showing various Experimentation Analyst job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 6% Part Time, and 7% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $84,342 per year, or $40.5 per hour.

Staff Engineer - Experimentation Platform

Faire

San Francisco, CA

$231K - $318K/yr

Full-time

Posted 7 days ago

Job description

About this role:

Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance. 

This role is for a highly experienced technical leader specializing in experimentation infrastructure.

This role will influence and interact with all users of experiments functionality at Faire. From product teams and associated analytics engineering, to data scientists, Faire's Strategy and Analytics function, etc. This technical leader will define and execute a technology roadmap and set design and usage patterns in the experimentation space. Striking the right balance of technical leadership and hands-on development.

What you'll do:

  • Define and execute long-term strategy for experimentation and measurement company-wide.
  • Establish and develop a technology roadmap for a centralized experimentation platform powered by Eppo and integrated with Faire's data ecosystem. Including measurement infrastructure, experiment lifecycle, governance, self-service tooling, standards for experiment design, metric creation, result interpretation.
  • Partner with Faire's Strategy and Analytics group, Product Management, Data Science, and other functions who are key consumers of experiments infrastructure.

Qualifications:

Extensive software engineering experience with strong focus on experimentation, analytics infrastructure, and product development. Proficient in defining technical vision for experimentation and leading adoption across organizational boundaries.

  • Extensive experience designing, building, and scaling experimentation platforms in SaaS systems; focus on marketplace and e-commerce environments especially valuable.
  • Deep understanding of A/B testing, multivariate testing, feature rollout, progressive delivery techniques.
  • Ability to translate business objectives into experimentation and measurement capabilities.
  • Experience implementing and operating commercial or open-source experimentation platforms; Eppo experience especially valuable.
  • Strong understanding of experiment lifecycle management and key methodologies.
  • Experience collaborating across disciplines to ensure rigor and trustworthy decision-making.
  • Strong knowledge of modern data stacks; Snowflake and Databricks experience especially valuable.
  • Expertise in data quality and observability tools; Anomalo experience especially valuable.
  • Strong SQL skills and ability to design scalable analytical data models.
  • Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.

Salary range:

San Francisco: the pay range for this role is $231,000 to $318,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

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