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Experimentation Analyst Jobs (NOW HIRING)

EPCVIP, Inc.

Product Analyst

Calabasas, CA · On-site

$90K - $110K/yr

We continuously experiment to improve conversion, lead quality, and marketplace performance. In this role you will own assigned initiatives from hypothesis and implementation through analysis and ...

AMERICAN SYSTEMS

Data Analyst - Mid

Quantico, VA

$135K - $150K/yr

Acquire, clean, and validate data from operational, experimentation, modeling & simulation, and other enterprise sources. * Perform descriptive, diagnostic, and basic predictive analytics to identify ...

AMERICAN SYSTEMS

Data Analyst - Mid

Quantico, VA · On-site

$135K - $150K/yr

Acquire, clean, and validate data from operational, experimentation, modeling & simulation, and other enterprise sources. * Perform descriptive, diagnostic, and basic predictive analytics to identify ...

American Systems Corporation

Data Analyst - Mid

Quantico, VA · On-site

$135K - $150K/yr

Acquire, clean, and validate data from operational, experimentation, modeling & simulation, and other enterprise sources. * Perform descriptive, diagnostic, and basic predictive analytics to identify ...

New

PrizePicks

Product Analyst

Atlanta, GA · Hybrid

Execute experiment analyses (A/B tests, MAB, etc.) using established frameworks - properly interpreting statistical outputs, identifying issues such as sample ratio mismatch or insufficient power ...

Cervin

$256 - $414/hr

Deliver parity on analysis-only mode, variance reduction, ratio and percentile metrics, exposure ... Experimentation attach rate on new and expansion enterprise deals. * Engineering throughput ...

New

LaunchDarkly

Head of Experimentation

Deliver parity on analysis-only mode, variance reduction, ratio and percentile metrics, exposure ... Experimentation attach rate on new and expansion enterprise deals. * Engineering throughput ...

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All JobsExperimentation Analyst Jobs

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.

Product Analyst

EPCVIP, Inc.

Calabasas, CA • On-site

$90K - $110K/yr

Full-time

Posted 21 days ago

Job description

EPCVIP is hiring a Product Analyst to run the day-to-day execution of funnel and acquisition experiments within Product Operations.
At EPCVIP, we run a high-volume consumer-lending marketplace that connects people with financial offers through a network of partners. We continuously experiment to improve conversion, lead quality, and marketplace performance.
In this role you will own assigned initiatives from hypothesis and implementation through analysis and recommendation.
This is an execution and analysis role for someone early in their product career who already works comfortably with AI tools. You will use Claude Code, our internal skill library, and data warehouse integrations to develop and verify queries, structure analyses, and produce clear readouts.
The tools accelerate the work, but you remain responsible for validating the logic, data, and conclusions.
Responsibilities:
Pre-Experiment Analysis and Sizing
  • Define the hypothesis, success metrics, guardrails, and decision criteria for assigned initiatives
  • Estimate expected lift, required sample size, statistical power, and test duration before committing to a build
  • Use historical and segment-level data to evaluate opportunities and support prioritization
  • Contribute ideas based on user behavior, competitor funnels, mock-ups, and performance trends

Experiment Execution
  • Run assigned lead-acquisition experiments from approved concept through final decision
  • Coordinate implementation with Design and Engineering, complete QA, launch the test, and monitor live performance
  • Analyze results, evaluate statistical significance, and document a clear recommendation
  • Maintain experiment tickets, documentation, timelines, and status visibility
  • Surface tracking gaps, sample-ratio mismatch, unexpected metric movement, and other anomalies early

Product and Funnel Analysis
  • Investigate funnel performance, conversion trends, revenue movements, and stakeholder questions
  • Frame analytical questions, segment the data, and conduct analyses using SQL, Python, and AI tooling
  • Validate query logic, data quality, and unexpected findings before reaching a conclusion
  • Produce concise, shareable readouts with clear findings, limitations, recommendations, and next steps
  • Partner with BI when work requires deeper data modeling or more extensive analysis

Cross-Functional Partnership
  • Keep assigned initiatives moving across Product, Engineering, Design, QA, and BI
  • Work with your manager on prioritization, interpretation, and key decisions
  • Translate findings into clear recommendations for technical and non-technical audiences
  • Escalate blockers, risks, and uncertainty early

Requirements:
  • Bachelor's degree in Business, Economics, Analytics, Statistics, Information Systems, Computer Science, or a related quantitative field, or equivalent practical experience
  • 1-2 years of experience in product analytics, data analytics, product operations, or a related field; new grads with strong internship or project experience are welcome to apply
  • Proficiency in SQL and Python for querying, analyzing, and validating data
  • Working knowledge of A/B testing, including hypothesis design, sample sizing, statistical significance, peeking, and sample-ratio mismatch
  • Ability to turn an ambiguous product question, funnel metric, or experiment result into a structured analysis and clear recommendation
  • Strong ownership and execution, with the ability to move initiatives forward, maintain clear documentation, and escalate blockers early
  • Strong analytical judgment and curiosity, with the discipline to investigate unexpected results and verify conclusions
  • Experience using tools such as Claude Code, Cursor, and ChatGPT

Preferred Qualifications
  • Exposure to lead generation, performance marketing, affiliate networks, funnel or conversion-rate optimization, or adtech
  • Experience with digital analytics tools such as GA4, Amplitude, Mixpanel, or similar
  • Experience building something practical with AI tooling, such as a script, agent, workflow, or small internal tool

Equal Opportunity Employer
EPCVIP, Inc is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, criminal history, genetic information, or any of the protected classes. EPCVIP, Inc is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.
To request reasonable accommodation, contact Human Resources at hr@epcvip.com

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