Brazil
GFT Technologies SE
Experian
Data Analyst - Mid Level - CRM SME
Brazil
São Paulo, São Paulo, Brazil
PythonSQL
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Company Description
Experian is a global data and technology company that powers opportunities for people and businesses around the world. We operate in various markets, such as financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and advanced new technologies to unlock the power of data. We have an incredible team of 25,200 employees in 32 countries.
Our uniqueness is valuing yours. Experian's people-centric, inclusive, and purpose-driven culture is recognized by numerous awards—including World’s Best Workplaces™ 2025 (Fortune’s Top 25 globally) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to understand why. Experian is also proud to be an equal opportunity and affirmative action employer.
Job Description
We are looking for someone to act as a Mid-Level Data Analyst – CRM SME, strengthening the CRM analytical front with a focus on data intelligence, segmentation, personalization, performance measurement, and evolution of SME customer relationship journeys.
This position will be fundamental to supporting the construction of an increasingly data-driven CRM, connecting analyses of customer behavior, lifecycle, engagement, conversion, and value to acquisition, activation, retention, monetization, and base protection strategies.
The individual will work in strong partnership with the CRM, Marketing, Sales, Product, Data, Analytics, and Technology teams, contributing to transforming data into practical decisions, more precise campaigns, smarter journeys, and actions with greater business impact.
We are looking for an analytical, curious, and business-oriented individual who can easily dive into data, identify patterns, structure hypotheses, and transform analyses into practical recommendations for CRM.
It is important that this person can balance technical depth with clear communication, supporting the team in building smarter, personalized, and measurable campaigns, journeys, and decisions.
More than generating reports, we expect someone capable of asking good questions, finding opportunities in the database, measuring impact, and directly contributing to the evolution of the CRM SME's analytical maturity.
Additional Information
Serasa Experian is much more than you imagine. With the purpose of creating a better future by expanding opportunities for people and businesses, in Brazil we are more than 4 thousand people working across various teams and specialties. Here, every area of expertise and diversity complements one another, and you can work on what you love most; we are committed to building an inclusive culture and an environment where people can balance their careers with their personal commitments and interests, while prioritizing well-being.
We dedicate ourselves greatly to being one of the best and most innovative companies to work for in the country, enabling incredible experiences and careers for our people. Our strong people-first approach is externally recognized through various market certifications: we were awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, in addition to being recognized as one of the best companies for young professionals and having a 4.6 rating on Glassdoor. Each recognition indicates that we are on the right path, providing an ever-improving work environment for our talents.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Qualifications
What we look for in you:
- Experience in data analysis
- Proficiency in SQL for data extraction, treatment, and analysis
- Knowledge of Excel/Google Sheets and BI tools, such as Power BI, Tableau, or Looker
- Knowledge of CRM metrics, customer lifecycle, churn, retention, conversion, and LTV
- Experience with base segmentation, cohorts, funnels, A/B testing, and performance analysis
- Ability to translate data into actionable insights.
Requirements and Expected Competencies
Hard Skills
- Experience with data analysis, CRM, marketing analytics, customer intelligence, or related areas.
- Proficiency in SQL for data extraction, manipulation, and analysis.
- Advanced knowledge of Excel or Google Sheets.
- Experience with BI and data visualization tools, such as Power BI, Tableau, Looker, or similar.
- Ability to build performance analyses, funnels, cohorts, segmentations, and behavioral studies.
- Knowledge of CRM metrics, digital marketing, customer lifecycle, retention, churn, LTV, conversion, and engagement.
- Familiarity with CRM, marketing automation, or MarTech platforms, such as Salesforce, Adobe Campaign, Braze, Oracle, RD Station, or similar.
- Knowledge of A/B testing, business hypotheses, impact measurement, and experimentation methodologies.
Soft Skills
- Strong analytical thinking and investigation skills.
- Business acumen to connect data to decisions, actions, and results.
- Curiosity, critical thinking, and ability to question hypotheses.
- Clarity of communication to translate technical analyses into objective recommendations for different audiences.
- Organization and attention to detail, especially in data treatment, segmentation, and indicators.
- Proactivity in identifying opportunities, risks, inconsistencies, and improvements.
- Collaboration to work with cross-functional teams, such as CRM, Marketing, Sales, Product, Data, and Technology.
- Results orientation, with responsibility for deliverables, analytical quality, and impact of actions.
- Ability to prioritize in a dynamic environment with multiple demands and business fronts.
Main Responsibilities Strategy, CRM, and Business
- Support the evolution of the SME CRM strategy based on data, customer behavior, lifecycle, and business opportunities.
- Analyze the SME customer base to identify opportunities for acquisition, activation, engagement, retention, reactivation, cross-sell, upsell, and churn reduction.
- Build analyses that support the personalization of communications, offers, and journeys, considering profile, segment, channel, behavior, contracted product, and relationship stage.
- Connect analytical insights to CRM decisions, contributing to increased conversion, engagement, usage frequency, product adoption, LTV, and campaign efficiency.
- Support the definition, monitoring, and interpretation of CRM KPIs, such as delivery, open, click, conversion, revenue, retention, churn, reactivation, engagement, product penetration, and customer value.
- Conduct base studies to understand usage patterns, behavior, consumption, journey, propensity, and opportunities for evolving relationships with SME customers.
- Contribute to the dissemination of a data-driven CRM culture, helping the team make decisions based on data, hypotheses, tests, and learnings.
Analytical Operation and Processes
- Support the construction, execution, and optimization of segments for CRM campaigns, triggers, journeys, and specific actions.
- Work in partnership with operations, channel, and technology teams to ensure the quality, consistency, and accuracy of the databases used in communications.
- Contribute to the evolution of automated, dynamic journeys driven by behavior, lifecycle stage, and engagement signals.
- Support the orchestration of multi-channel communications, such as email, WhatsApp, phone, push, in-app, and other channels, considering performance data, eligibility, prioritization, and impact overlap.
- Support the integration and organization of different data sources to improve customer view, segmentation accuracy, and results measurement.
- Identify opportunities for improvement in data processes, database governance, segmentation rules, data hygiene, audience prioritization, and campaign monitoring.
- Ensure recurring and structured analyses that support decision-making in SME CRM initiatives.
Data and Performance Analysis
- Build in-depth analyses of SME customer behavior, journeys, cohorts, funnels, channels, products, segments, and clusters.
- Create, maintain, and evolve CRM performance dashboards, reports, and executive views, ensuring clarity, reliability, and actionability of indicators.
- Perform segmentations based on demographic, transactional, behavioral, commercial, engagement, and product usage data.
- Support the creation and analysis of models, scores, propensity audiences, clusters, and prioritization rules for campaigns and journeys.
- Structure A/B tests and incrementality analyses whenever applicable, evaluating the real impact of CRM actions.
- Interpret data from different channels to build an integrated view of the customer journey and recommend optimizations.
- Transform complex data into clear narratives, connecting analytical findings to practical business opportunities.
- Generate recurring learnings about what works, for which audiences, on which channels, and at which points in the journey.
- Knowledge of Python, R, or other data analysis languages is desirable.
- Familiarity with predictive models, clustering, propensity, offer recommendation, or audience prioritization is desirable.
Differentiators
- Previous experience with B2B CRM, SMEs, digital products, financial services, credit, collections, data, or marketing solutions.
- Experience with lifecycle marketing strategies, personalization, next best offer, relationship triggers, onboarding, retention, or base monetization.
- Experience with Salesforce, CDPs, automation tools, or integration between data and communication channels.
- Knowledge in portfolio analysis, product penetration, consumption behavior, and cross-sell/upsell opportunities.
- Experience in environments driven by revenue, conversion, retention, and operational efficiency goals.
Employee Status: Regular
Role Type: Home
Department: Marketing and Communications
Schedule: Full Time
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