中小型企业CRM中级数据分析员

#### Company Description

Experian is a global data and technology company that creates opportunities for people and businesses around the world. We operate in many markets, such as financial services, healthcare, automotive, agribusiness, insurance, and others. Experian invests in people and in new advanced 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 culture, centered on people, inclusive and driven by purpose, is recognized by several awards, including World's Best Workplaces™ 2025 (Fortune Global Top 25) 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 also takes pride in being an employer that promotes equal opportunities and affirmative action.

#### Job Description

We are looking for a person to work as a Mid-Level Data Analyst - SME CRM, strengthening the CRM analytics function with a focus on data intelligence, segmentation, personalization, performance measurement, and the evolution of customer relationship journeys for SME clients.

This position will be fundamental in supporting the building of an increasingly data-driven CRM, connecting analyses of behavior, lifecycle, engagement, conversion, and customer value to strategies for acquisition, activation, retention, monetization, and protection of the base.

The person will work in close partnership with the CRM, Marketing, Commercial, Product, Data, Analytics, and Technology teams, contributing to turning 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 person who finds it easy to dive into data, identify patterns, structure hypotheses, and turn analyses into practical recommendations for CRM.

It is important that this person can balance technical depth with clear communication, supporting the team in building campaigns, journeys, and decisions that are smarter, personalized, and measurable.

More than generating reports, we expect someone capable of asking good questions, finding opportunities in the base, measuring impact, and directly contributing to the evolution of the analytical maturity of SME CRM.

#### Qualifications

**What we are looking for in you:**

- Experience in data analysis
- Proficiency in SQL for data extraction, processing, 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.

**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 stage in the relationship.

- Connect analytical insights to CRM decisions, contributing to increased conversion, engagement, frequency of use, product adoption, LTV, and campaign efficiency.

- Support the definition, monitoring, and interpretation of CRM KPIs, such as delivery, opening, clicks, conversion, revenue, retention, churn, reactivation, engagement, product penetration, and customer value.

- Carry out base studies to understand patterns of use, behavior, consumption, journey, propensity, and opportunities to evolve the relationship with SME customers.

- Contribute to spreading a data-driven CRM culture, helping the team make decisions based on data, hypotheses, tests, and learnings.

_Analytical Operations and Processes_

- Support the building, execution, and optimization of segmentations for campaigns, communication rules, journeys, and one-off CRM actions.

- Work in partnership with the operations, channels, and technology teams to ensure quality, consistency, and accuracy of the databases used in communications.

- Contribute to the evolution of automated journeys that are dynamic and driven by behavior, lifecycle stage, and engagement signals.

- Support the orchestration of multichannel communications, such as email, WhatsApp, phone, push, in-app, and other channels, considering performance data, eligibility, prioritization, and overlap of impacts.

- Support the integration and organization of different data sources to improve the customer view, the accuracy of segmentations, and the measurement of results.

- Identify improvement opportunities in data processes, database governance, segmentation rules, data cleansing, audience prioritization, and campaign monitoring.

- Ensure recurring and structured analyses that support decision-making in SME CRM initiatives.

_Data Analysis and Performance_

- Build in-depth analyses of customer behavior, journeys, cohorts, funnels, channels, products, segments, and clusters within the SME base.

- Create, maintain, and evolve dashboards, reports, and executive views of CRM performance, ensuring clarity, reliability, and actionability of indicators.

- Carry out segmentations based on registration, 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.

- Turn 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 moments of the journey.

_Requirements and Expected 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 tools and data visualization, 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.

- Desirable: knowledge of Python, R, or other languages for data analysis.

- Desirable: familiarity with predictive models, clustering, propensity, offer recommendation, or audience prioritization.

_Soft Skills_

- Strong analytical thinking and investigative ability.

- Business vision to connect data to decisions, actions, and results.

- Curiosity, critical thinking, and the ability to question hypotheses.

- Clear communication to translate technical analyses into objective recommendations for different audiences.

- Organization and attention to detail, especially in data handling, segmentations, and indicators.

- Proactivity in identifying opportunities, risks, inconsistencies, and improvements.

- Collaboration to work with cross-functional teams, such as CRM, Marketing, Commercial, Product, Data, and Technology.

- Results orientation, with responsibility for deliverables, analytical quality, and the impact of actions.

- Ability to prioritize in a dynamic environment with multiple demands and business fronts.

_Differentials_

- Prior experience with B2B CRM, SMEs, digital products, financial services, credit, collections, data, or marketing solutions.

- Experience with lifecycle marketing strategies, personalization, next best offer, communication rules, onboarding, retention, or base monetization.

- Experience with Salesforce, CDPs, automation tools, or integration between data and communication channels.

- Knowledge of portfolio analysis, product penetration, consumption behavior, and cross-sell/upsell opportunities.

- Experience in environments driven by revenue, conversion, retention, and operational efficiency goals.

#### 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 4,000 people working across many teams and specialties. Here, each skill and diversity complements the others, 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 commitments and personal interests, valuing well-being.

We work hard to be one of the best and most innovative companies to work for in the country, enabling exceptional experiences and careers for our people. Our strong people-first approach is recognized externally through several market certifications: we were awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, and we are recognized as one of the best companies for young professionals, with a rating of 4.6 on Glassdoor. Each recognition tells us we are on the right path, providing an increasingly better work environment for our talent.

Experian Careers - Creating a better tomorrow together

[Find out what it's like to work for Experian by clicking here](https://www.experian.com/careers/)