Lead Customer Insights & Analytics Analyst

Klaviyo; Boston, Northern (MA, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Klaviyo is seeking a Lead Customer Intelligence Analyst to join our growing Customer Insights & Analytics team in the US. You will partner with CX stakeholders and data scientists to design measurement systems, lead investigations, and build the analytics layer behind health scoring, personas, and experience-impact work.

The ideal candidate has 5–8 years of end-to-end analytical experience, strong SQL and Python skills, and a track record of turning ambiguous problems into actionable insights,

Qualifications

• 5–8 years of experience owning analytical problems end-to-end: from framing the business question, through analysis, to influencing stakeholders and operationalizing the solution.

Responsibilities

• Design and build the Goals Measurement Frameworks & Benchmarks for initiatives and pilots across the CX org.
• Lead end-to-end one-off investigations—scoping an ambiguous business question, pulling and analyzing the data, and delivering a decision-ready answer with minimal oversight.
• Stand up new dashboards and reporting (journey health, CX theme-and-impact, QBR/MBR inputs, NPS/OKR baselines) and corresponding documentation to allow handoffs to operational reporting teams once stable.
• Partner with data scientists on health-score and forecasting work — contributing exploratory analysis, segmentation, and validation to support modeling decisions.
• Build reusable data products (Snowflake-backed tools, automated pulls) that let insight delivery scale beyond manual reporting.
• Collaborate across CX leadership, data science, and operational reporting teams to keep new builds well-documented and handoff-ready.

Skills

SQL

Python

Stakeholder communication

Analytical thinking

Education

Bachelor's degree in a quantitative field

Tools

Tableau

Snowflake

Streamlit

Job description

Klaviyo is seeking a Lead Customer Intelligence Analyst to join our growing Customer Insights & Analytics team in the US. You will partner with CX stakeholders and data scientists to design measurement systems, lead investigations, and build the analytics layer behind health scoring, personas, and experience-impact work.

The ideal candidate has 5–8 years of end-to-end analytical experience, strong SQL and Python skills, and a track record of turning ambiguous problems into actionable insights,