Senior Customer Insights Analyst

Rippling, Inc.; Northern (KY); Hybrid; USD 90,000 - 150,000; Full time

Job summary

Enlighten AI Labs builds enterprise AI analytics solutions that turn complex data into clear decisions. You will own analyses from framing business questions through data prep, validation, and presenting recommendations to senior stakeholders, using AI tools to accelerate work while ensuring reproducibility.

You will analyze acquisition, retention, churn, segmentation, pricing, and campaign performance; build reusable data pipelines and recurring reports for executives, with clear communication

Qualifications

• 5+ years of experience in customer or marketing analytics.
• Strong SQL and Python skills.
• Knowledge of causal inference, cohort analysis, and segmentation.
• Ability to present results to senior stakeholders and challenge assumptions.
• Commitment to reproducible, well-documented analyses.

Responsibilities

• Turn ambiguous business questions into focused analyses, deciding what to measure and what evidence would support a decision.
• Analyze customer acquisition, retention, churn, segmentation, pricing, and campaign performance.
• Build and maintain data pipelines and recurring reports for executive and field teams, using reusable methods that adapt to different audiences.
• Apply sound statistical and causal methods, check your findings, and explain the limits of what the data supports.
• Present clear recommendations that connect the analysis to business priorities and the next action.
• Use large language models and AI agents to accelerate the work while keeping the analysis reproducible, documented, and checked.

Skills

SQL

Python

Causal inference

Cohort analysis

Customer segmentation

Business judgment

Communication to stakeholders

AI tools

Documentation

Data pipelines

Tools

Claude Code

Job description

Enlighten AI Labs builds enterprise AI products and analytics solutions that help organizations turn complex data into clear decisions. Our products include Aria (an AI analyst that turns business data into insights and recommendations) and Echo (an analytics quality assurance platform that checks whether digital tracking matches measurement requirements). We work with enterprise teams across industries, combining analytics expertise, AI, and hands-on delivery to solve business problems.

About the role

You'll help consumer businesses understand what brings customers in, what keeps them coming back, and where to act next. You'll own analyses from the initial business question through data preparation, validation, and recommendations to senior stakeholders. This role combines strong analytical judgment with clear communication and practical use of AI throughout the work.

What you'll do

• Turn ambiguous business questions into focused analyses, deciding what to measure and what evidence would support a decision.
• Analyze customer acquisition, retention, churn, segmentation, pricing, and campaign performance.
• Build and maintain data pipelines and recurring reports for executive and field teams, using reusable methods that adapt to different audiences.
• Apply sound statistical and causal methods, check your findings, and explain the limits of what the data supports.
• Present clear recommendations that connect the analysis to business priorities and the next action.
• Use large language models and AI agents to accelerate the work while keeping the analysis reproducible, documented, and checked.

What you bring

• 5+ years of experience in customer or marketing analytics.
• Strong SQL and Python skills, with experience working on modern data platforms and large transactional datasets.
• Practical knowledge of causal inference, cohort analysis, and customer segmentation.
• Business judgment: you can recognize when an analysis answers the wrong question, even if the calculations are correct.
• Curiosity about how a client's business works and the habit of checking whether results make sense in that context.
• Confidence presenting to senior stakeholders, explaining uncertainty, and constructively challenging assumptions with evidence.
• Working experience with AI tools and an understanding of their strengths and limitations.
• A disciplined approach to documentation and reproducibility, with the ability to deliver when requirements are still taking shape.

Nice to have

• Experience with consumer, retail, or loyalty analytics.
• Hands-on use of Claude Code or similar agent tools for analysis, automation, or prototyping.
• Experience building repeatable workflows that combine human judgment with AI-assisted analysis.

How we work

AI is part of how we work every day. We use it to accelerate analysis, development, and review, with people accountable for the quality of the result. We communicate clearly, document decisions, share feedback early, and follow work through to completion.

What success looks like

• You own analyses from the business question to a recommendation that stakeholders can act on.
• Your findings are credible, reproducible, and clear about assumptions and limitations.
• Recurring analyses and reports become easier to maintain and adapt to new questions.
• Clients trust your judgment, and AI improves your efficiency without weakening the quality of the work.