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Senior CRM Data Analyst

Data Analyst Full-time Freelance Latin America

Job details

Not specified Salary
Latin America Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Own analytics for client accounts, carrying questions from initial intake through analysis and presentation of findings. You’ll work within a CRM-focused team and partner with consultants, account and project managers, and client stakeholders. The role centers on analysis, insight, experimentation, and reporting rather than campaign execution or data engineering.

Responsibilities - Manage analytics requests and priorities within agreed account hours, identifying early when work needs separate project scoping. - Clarify client questions and assess whether the requested analysis is framed appropriately before proceeding. - Write production-quality SQL in a cloud data warehouse, develop analysis transformations, trace data lineage, and reconcile metrics across systems. - Analyze customer, transaction, and loyalty behavior, including purchase patterns, revenue, frequency, retention, lifetime value, and offer performance. - Design experiments and report results, covering sample size, holdouts, incremental lift, and differences between customer segments. - Build and maintain BI dashboards and KPI definitions; validate and document figures before sharing results. - Present clear recommendations to senior stakeholders, review other analysts’ SQL, coach consultants, and support junior analysts as the team grows.

Requirements - Strong SQL skills in Snowflake or a comparable cloud warehouse. - Dashboard and reporting experience with a BI tool, plus advanced Excel. - Experience with digital or product analytics tools such as Amplitude, GA4, or Mixpanel. - Hands-on cohort and behavioral analysis using customer, transaction, or loyalty data. - Strong data quality, validation, and governance practices. - Experimentation and statistics experience using Python or R, including test design, sample size, significance, and incremental lift. - Experience using or building segmentation or propensity models, and sound commercial judgment when evaluating analysis requests. - Clear client-facing English and ability to explain findings to non-technical audiences.

Nice to have - Experience with CRM campaign platforms, a customer data platform, or uplift modeling. - Retail, restaurant, or quick-service restaurant experience; agency or consulting background is useful but not required.

Benefits and work setup - Remote-first work with an international team, career development, and team events. - Bring-your-own-device policy; candidates need existing work authorization because sponsorship is unavailable.

Skills detected in the listing

PythonGoSQLSnowflakePower BITableauLookerData EngineeringStakeholder Management
Detected Nov 12, 2026
Last verified Nov 12, 2026

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