Senior CRM Data Analyst
New
M
Massive RocketCRM analytics
Anywhere in Latin AmericaContractSenior
Salary not disclosed
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Job Details
- Languages
- Clear client-facing English
- Required Skills
- PythonSQLMicrosoft Power BISnowflakeTableauMicrosoft ExcelDatabricksR
Requirements
- Write production-quality SQL in Snowflake or another cloud warehouse such as Databricks or Redshift.
- Build dashboards and reporting in a BI tool such as Power BI or Tableau.
- Have advanced Excel skills.
- Have experience with a product or digital analytics tool such as Amplitude, GA4 or Mixpanel.
- Have hands-on cohort and behavioural analysis experience with customer, transaction or loyalty data.
- Demonstrate a strong grasp of data quality, validation and governance.
- Have experimentation and statistics experience in Python or R, including test design, sample size, significance and incremental uplift.
- Have experience building or using propensity or segmentation models.
- Have CRM, loyalty or customer analytics experience and commercial judgment to challenge flawed questions.
- Communicate findings clearly in client-facing English to non-technical audiences, in writing and in person.
Responsibilities
- Own the analytics workstream for client accounts, managing request intake and prioritization within agreed hours.
- Act as the client contact for data questions and assess whether requests are framed fairly.
- Write production-quality SQL in client warehouses and develop transformation logic for analysis.
- Trace data lineage, address gaps in reports, SQL and data events, and reconcile metrics across systems.
- Conduct cohort, behavioural and decomposition analyses on transaction and loyalty data.
- Build or use propensity and segmentation models, connecting findings to revenue, efficiency and cost savings.
- Design and report on tests, including sample size, holdout design, incremental uplift and segment results.
- Build and maintain BI dashboards and own the KPI definitions behind them.
- Validate and document figures, then present findings and recommendations to senior stakeholders.
- Review analysts’ SQL, coach consultants, manage junior analysts as the team grows, and build reusable assets.
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