Product Analyst

EPCVIP, Inc.; Calabasas (CA); On-site; USD 85,000 - 105,000; Full time

Job summary

EPCVIP, Inc. is seeking a Product Analyst to run the day-to-day execution of funnel and acquisition experiments within Product Operations. You will own assigned initiatives from hypothesis and implementation through analysis and recommendation.

This is an execution- and analysis-focused 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,

Qualifications

• Proficiency in SQL and Python for querying, analyzing, and validating data.
• Experience with A/B testing design, sample sizing, and significance.
• Ability to translate ambiguous questions into structured analyses and clear recommendations.

Responsibilities

• Define hypotheses, success metrics, guardrails, and decision criteria for initiatives.
• Run lead-acquisition experiments from concept to decision and monitor results.
• Analyze funnel performance and surface insights with clear readouts.
• Collaborate with Product, Engineering, Design, QA, and BI to move initiatives forward.
• Document findings, limitations, and next steps for technical and non-technical audiences.

Skills

SQL

Python

A/B testing

Analytical thinking

Ownership

Education

Bachelor’s degree or equivalent

Tools

Claude Code

Cursor

ChatGPT

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 [e-mail]