Lead Customer Intelligence & Insights Analyst

Klaviyo; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Klaviyo is seeking a Lead Customer Intelligence Analyst to join our Customer Insights & Analytics team in San Francisco. You will design measurement frameworks, lead analytics investigations, and build the data infrastructure behind health scoring, personas, and experience-impact work.

You will collaborate with CX leadership and data scientists to scale insights, create dashboards, and deliver decision-ready analyses, while communicating results to both technical and non-technical stakeholders.

Qualifications

• 5–8 years of end-to-end analytics experience.
• Strong SQL and Python skills.
• Ability to scope ambiguous problems and deliver clear answers.
• Experience with dashboards and reporting.
• Familiarity with statistics or ML concepts.
• Excellent communication with non-technical stakeholders.

Responsibilities

• Design and build the Goals Measurement Frameworks & Benchmarks across CX initiatives.
• Lead end-to-end investigations from scoping to delivering a decision-ready answer.
• Create dashboards and reporting (journey health, CX themes, NPS baselines) and document handoffs.
• Collaborate with data scientists on health-score and forecasting work.
• Build reusable data products (Snowflake-backed tools) to scale insights.
• Work cross-functionally with CX leadership, data science, and reporting teams.

Skills

SQL

Python

Data visualization

Statistics

Communication

Stakeholder management

Snowflake/Streamlit

Dashboard design

Tools

Snowflake

Streamlit

Tableau

Job description

Klaviyo is seeking a Lead Customer Intelligence Analyst to join our Customer Insights & Analytics team in San Francisco. You will design measurement frameworks, lead analytics investigations, and build the data infrastructure behind health scoring, personas, and experience-impact work.

You will collaborate with CX leadership and data scientists to scale insights, create dashboards, and deliver decision-ready analyses, while communicating results to both technical and non-technical stakeholders.