Analytics Engineer Mid-Level - CRM
####公司描述 Serasa Experian 是巴西第一个和最大的数据技术。作为风险与机会分析智能解决方案的领导者，专注于信用，身份验证和欺诈预防之旅。通过尖端技术，创新和最好的人才，它将风险不确定性转化为最佳决定，帮助人们实现他们的梦想和各种规模和细分市场的企业繁荣。我们在32个国家拥有22,000名员工，每天都在投资新的技术，有才华的专业人士和创新来帮助所有客户发挥每个机遇。经验公司总部位于爱尔兰都柏林，在伦敦证券交易所 (EXPN) 上市，是 FTSE 100指数的组成部分。#####工作描述数据专业人员具有分析性和商业愿景，能够将 CRM 数据转化为可操作见解，并应用分析和人工智能技术来优化收购，保留和客户关系战略。积极的专业人士，以结果为导向和拥有力感，能够在数据驱动 CRM 的发展中采取战略性和执行性的行动。主要责任：- 设计和构建 CRM 数据解决方案，为支持活动，旅程和客户关系战略的数据集，表格，规则和管道进行结构化；- 发展规模化的细分和客户智能，将业务规则和需求转变成自动化，可重复使用和生产性的数据解决方案；- 开发 CRM 数据架构，通过模型，整合，性能，质量，可观察性和数据治理作出贡献；- 研发并投入到生产数据产品和服务中，可以可靠地由 CRM 和其他公司团队消费；- 建立使用 SQL,Python 和数据的解决方案，以寻求自动化，效率，可扩展性和减少手工流程；-应用 AI 工程和 GenAI 概念来开发实现自动化和促进获取数据，见解和知识的机器，工具和解决方案；- 创建民主化的机制，降低对手工分析的依赖，使业务领域具有更大的自治；- 与利益相关者合作将业务问题转化为技术要求，数据解决方案和可测量的假设；- 制定价值证明，实验和衡量机制，从而评估解决方案的影响和起诉。
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#### Company Description
Serasa Experian is the first and largest Datatech in Brazil. A leader in intelligence solutions for risk and opportunity analysis, focused on the credit, authentication and fraud prevention journeys. With cutting-edge technology, innovation and the best talent, it turns the uncertainty of risk into the best decision, helping people realize their dreams and companies of all sizes and segments to prosper.
We have 22,000 people operating in 32 countries, and every day we are investing in new technologies, talented professionals and innovation to help all clients maximize every opportunity. With corporate headquarters in Dublin, Ireland, Experian is listed on the London Stock Exchange (EXPN) and is a constituent of the FTSE 100 index.
#### Job Description
Data professional with an analytical profile and business vision, capable of transforming CRM data into actionable insights and applying analytics and artificial intelligence techniques to optimize acquisition, retention and customer relationship strategies.
Proactive professional, results-oriented and with a strong sense of ownership, capable of acting strategically and executively in the evolution of data-driven CRM.
Main responsibilities
- Design and build data solutions for CRM, structuring datasets, tables, rules and pipelines that support campaigns, journeys and customer relationship strategies;
- Develop segmentations and customer intelligence at scale, transforming business rules and needs into automated, reusable and productive data solutions;
- Evolve the CRM data architecture, contributing with modeling, integration, performance, quality, observability and governance of data;
- Develop and put into production data products and services that can be reliably consumed by CRM and other teams in the company;
- Build solutions using SQL, Python and Databricks, seeking automation, efficiency, scalability and reduction of manual processes;
- Apply AI Engineering and GenAI concepts to develop automations, agents, tools and solutions that facilitate access to data, insights and knowledge;
- Create mechanisms for democratizing data and knowledge, reducing dependence on manual analyses and enabling business areas to have greater autonomy;
- Work with stakeholders to transform business problems into technical requirements, data solutions and measurable hypotheses;
- Develop proofs of value, experiments and measurement mechanisms that allow assessing the impact of solutions and supporting data-based decisions;
- Ensure good practices of documentation, versioning, testing, monitoring and maintenance of the solutions developed;
- Take ownership of your deliverables, performing estimates, planning, scope and deadline negotiation, risk identification and progress reports for stakeholders.
#### Qualifications
**Expected knowledge and skills:**
- Advanced SQL, including manipulation and transformation of large volumes of data;
- Databricks, with experience in developing and operationalizing data solutions;
- Python applied to engineering, automation, processing and data analysis;
- Knowledge of data engineering, including pipelines, ETL/ELT, modeling, integration and data quality;
- Knowledge of AI/GenAI Engineering, including building and integrating solutions based on LLMs, automations and agents;
- Ability to develop solutions with production, scalability, reliability and reuse in mind, not just one-off analyses;
- Good ability to connect technical decisions to business objectives and results;
- Clear communication and ability to move between technical and business stakeholders;
- Autonomy, organization, estimation skills and management of one's own deliverables.
**Differentials**
- Experience with CRM, Customer Analytics, segmentation and customer activation, experimentation/A-B testing, APIs, Git/CI/CD, Lakehouse architecture, Delta Lake, MLflow and development of AI solutions integrated into corporate environments.
We seek, above all, someone who can combine Engineering + Data + Intelligence + Business: a person capable of understanding a problem, designing the solution, building it, putting it into production and demonstrating the value generated.
#### Additional Information
Experian is a global data and technology company that drives opportunities for people and businesses around the world. We operate in several markets, such as financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and in new advanced technologies to unleash the power of data. We have an amazing team of 25,200 employees in 32 countries.
Our uniqueness is valuing yours. Experian's culture, centered on people, inclusive and purpose-driven, 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 opportunity and affirmative action._
Experian Careers - Creating a better tomorrow together
[Find out what its like to work for Experian by clicking here](https://www.experian.com/careers/)