Senior CRM Data Analyst

Jobgether; Brazil; Remote; BRL 180,000 - 320,000; Full time

Benefits offered by this job

Fully remote

Professional growth opportunities

Collaborative culture

International colleagues

Clear career progression

Team meetups & events

Job summary

Jobgether in Brazil seeks a Senior CRM Data Analyst to own analytics for client accounts, turning customer data into actionable insights. You will manage requests end-to-end, partner with consultants and client stakeholders across marketing, loyalty, and data functions, and develop dashboards that drive revenue growth and improved targeting.

The role focuses on CRM, loyalty, cohort analyses, experimentation, and data quality in a remote-first, international environment.

Qualifications

• Production-quality SQL in Snowflake/Databricks/Redshift.
• BI dashboards/reporting with Power BI/Tableau/Looker.
• Advanced Excel skills.
• Experience with Amplitude, GA4 or Mixpanel.
• Cohort/behavioral analyses on CRM, loyalty data.
• Experimentation and statistics using Python or R.
• Propensity and customer segmentation models.
• CRM/loyalty background with commercial judgment.
• Excellent client-facing English communication.
• Strong analytical thinking and prioritization.

Responsibilities

• Own analytics workstream for assigned accounts, manage intake & prioritization.
• Primary point of contact for client data and analytics questions.
• Collaborate with consultants, account management and client teams.
• Develop SQL transformations and data pipelines for analyses.
• Build, validate, and maintain dashboards; ensure data quality.
• Analyze revenue, retention, and offer performance metrics.
• Design and evaluate experiments with sample sizes and uplift.
• Mentor junior analysts as the team grows.
• Translate insights into clear strategic recommendations.

Skills

SQL analytics

BI dashboards

Excel advanced

CRM analytics

Experimentation & stats

Python/R expertise

Propensity models

CRM/loyalty background

English communication

Analytical thinking

Tools

Snowflake

Databricks

Amazon Redshift

Power BI

Tableau

Looker

Python

R

Amplitude

GA4

Mixpanel

Braze

SFMC

Adobe Campaign

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior CRM Data Analyst based in Brazil.

As a Senior CRM Data Analyst, you will own the analytics workstream for client accounts, turning complex customer and commercial data into actionable insights that support smarter CRM and business decisions. You will manage analytical requests from initial intake through analysis, validation, and final presentation, taking full ownership of the process. Working within collaborative CRM teams, you will partner with consultants, account managers, project managers, and client stakeholders across marketing, loyalty, and data functions. Your work will cover customer behavior, transaction trends, segmentation, retention, experimentation, and revenue performance. You will also develop reliable dashboards, strengthen data quality, and translate findings into clear strategic recommendations. This is a hands‑on, client‑facing role in a remote‑first, international environment where analytical rigor, commercial thinking, and independent execution are highly valued.

Accountabilities

• Analytics Ownership & Client Collaboration
  • Own the analytics workstream for assigned accounts, managing request intake and prioritization within agreed working hours.
  • Act as the primary point of contact for client data and analytics questions, ensuring requests are clearly framed and based on sound assumptions.
  • Identify when requests exceed the agreed scope or require a dedicated project, communicating this proactively to relevant stakeholders.
  • Collaborate with Lead and Senior Consultants, Account Management, and Project Management, as well as client marketing, loyalty, and data teams.
  • Manage analytical assignments independently, from initial client request through final presentation and recommendations.
• Data Analysis & Technical Execution
  • Write production-quality SQL in client data warehouses such as Snowflake, Databricks, Redshift, or equivalent platforms.
  • Develop the transformation logic required to support reliable analysis and reporting.
  • Trace data lineage, identify and resolve gaps in existing reports, SQL queries, and data events.
  • Reconcile metrics across different systems, including product and digital analytics platforms such as Amplitude and Google Analytics 4.
  • Conduct cohort, behavioral, and decomposition analyses using customer, transaction, and loyalty data.
  • Analyze key commercial metrics, including first and repeat purchases, average transaction value, revenue, purchase frequency, retention, lifetime value, and offer performance.
  • Build or leverage propensity and segmentation models to identify customer opportunities and improve targeting.
  • Connect insights across customer segments, offers, channels, and seasonality to revenue growth, operational efficiency, and cost savings.
• Experimentation & Performance Measurement
  • Independently design and report on experiments, including sample size calculations, holdout group design, and incremental uplift measurement.
  • Analyze test results and performance variations across customer segments.
  • Use AI tools to accelerate analytical workflows, improve testing efficiency, and strengthen the quality of insights.
• Reporting, Dashboards & Data Quality
  • Build and maintain dashboards using business intelligence platforms such as Power BI, Tableau, Looker, or equivalent tools.
  • Define, document, and maintain the KPIs and measurement logic behind reporting solutions.
  • Validate and document all figures before sharing results with clients or internal stakeholders.
  • Present analytical findings and recommendations through clear, compelling, and strategic narratives tailored to senior and non-technical audiences.
• Team Development & Knowledge Sharing
  • Review other analysts' SQL and provide guidance on analytical quality and best practices.
  • Coach consultants on using data effectively to support client recommendations.
  • Manage and mentor one to two junior analysts as the team expands.
  • Develop reusable analytical assets, frameworks, and reporting approaches that can be applied across multiple client accounts.

Requirements

• Strong experience writing production-quality SQL in Snowflake or another cloud data warehouse, such as Databricks or Amazon Redshift.
• Experience building dashboards and reporting solutions using BI tools such as Power BI, Tableau, or similar platforms.
• Advanced Excel skills.
• Experience with product or digital analytics platforms such as Amplitude, Google Analytics 4, or Mixpanel.
• Hands‑on experience conducting cohort and behavioral analyses using customer, transaction, or loyalty data.
• Strong understanding of data quality, validation, and governance practices.
• Experience with experimentation and statistical analysis using Python or R, including test design, sample size calculations, statistical significance, and incremental uplift measurement.
• Experience developing or applying propensity and customer segmentation models, including recency and frequency segments or activity-based tiers.
• Background in CRM, loyalty, or customer analytics, supported by strong commercial judgment and the ability to challenge unclear or misleading analytical requests.
• Excellent client‑facing English communication skills, with the ability to explain technical findings and business implications clearly to non‑technical stakeholders, both verbally and in writing.
• Strong analytical thinking, attention to detail, and the ability to independently manage competing priorities and deliver accurate results.

Nice to Have

• Experience with CRM engagement platforms such as Braze, Salesforce Marketing Cloud (SFMC), or Adobe Campaign, including an understanding of how customer segments and insights are used within these platforms.
• Familiarity with Customer Data Platforms (CDPs) such as Hightouch, Segment, or similar solutions.
• Experience in quick‑service restaurants (QSR), restaurant, or retail industries.
• Experience with uplift modeling.
• Previous experience in an agency or consultancy environment; candidates from in‑house teams with strong stakeholder‑facing responsibilities are also encouraged to apply.

Benefits

• Fully remote, remote‑first working environment, with the flexibility to work from wherever you feel most productive.
• Opportunities for accelerated professional growth through challenging projects and continuous learning.
• Supportive and collaborative culture focused on employee development and shared success.
• Opportunity to work with international colleagues across Europe, the United States, and other regions.
• Clear career progression, meaningful ownership, and opportunities to take on greater responsibilities.
• Team meetups, events, and experiences that encourage connection and collaboration.

How Jobgether works:

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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