Brazil
GFT Technologies SE
Experian
Analytics Engineer Mid-Level - CRM
Brazil
São Paulo, São Paulo, Brazil
PythonSQL
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Company Description
Serasa Experian is the first and largest Datatech in Brazil. Leader in intelligence solutions for risk and opportunity analysis, focusing on credit, authentication, and fraud prevention journeys. With cutting-edge technology, innovation, and the best talent, it transforms risk uncertainty into the best decision, helping people achieve their dreams and companies of all sizes and segments to thrive.
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 part 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 customer acquisition, retention, and 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 customer segmentation and intelligence at scale, transforming business rules and needs into automated, reusable, and productive data solutions;
- Evolve the CRM data architecture, contributing with data modeling, integration, performance, quality, observability, and governance;
- Develop and deploy data products and services that can be reliably consumed by CRM and other company teams;
- Build solutions using SQL, Python, and Databricks, seeking automation, efficiency, scalability, and reduction of manual processes;
- Apply AI and GenAI Engineering concepts to develop automations, agents, tools, and solutions that facilitate access to data, insights, and knowledge;
- Create mechanisms for data and knowledge democratization, reducing reliance on manual analysis and allowing 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 evaluating the impact of solutions and supporting data-driven decisions;
- Ensure good practices for documentation, versioning, testing, monitoring, and maintenance of developed solutions;
- Take ownership of your deliverables, performing estimates, planning, scope and deadline negotiation, risk identification, and progress reporting to stakeholders.
Qualifications
Expected knowledge and skills:
- Advanced SQL, including manipulation and transformation of large data volumes;
- Databricks, with experience in developing and operationalizing data solutions;
- Python applied to engineering, automation, data processing, and 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 reusability in mind, not just point-in-time analyses;
- Good ability to connect technical decisions to business objectives and results;
- Clear communication and ability to navigate between technical and business stakeholders;
- Autonomy, organization, estimation skills, and management of one's own deliverables.
Differentiators
Experience with CRM, Customer Analytics, customer segmentation and activation, experimentation/A-B testing, APIs, Git/CI/CD, Lakehouse architecture, Delta Lake, MLflow, and development of AI solutions integrated into corporate environments.
Above all, we are looking for someone who can unite Engineering + Data + Intelligence + Business: a person capable of understanding a problem, designing the solution, building it, putting it into production, and demonstrating the generated value.
Additional Information
Experian is a global data and technology company that drives 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 unleash the power of data. We have an incredible team of 25,200 employees in 32 countries.
Our uniqueness is valuing yours. Experian's culture, people-centered, inclusive, and purpose-driven, is recognized by various awards — including World’s Best Workplaces™ 2025 (Top 25 global by Fortune) 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 prides itself on being an employer that promotes equal opportunities and affirmative action.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Employee Status: Regular
Role Type: Home
Department: Marketing and Communications
Schedule: Full Time
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