Company Description
Serasa Experian is the first and largest Datatech in Brazil. We are leaders in intelligence solutions for risk analysis and opportunities, focusing on credit journeys, authentication, and fraud prevention. With cutting-edge technology, innovation, and the best talent, we transform the uncertainty of risk into the best decision, helping people achieve their dreams and companies of all sizes and segments to prosper.
We have 22,000 people operating in 32 countries, and every day we invest in new technologies, talented professionals, and innovation to help all our clients maximize every opportunity. Headquartered in Dublin, Ireland, Experian is listed on the London Stock Exchange (EXPN) and is a constituent of the FTSE 100 index.
Job Description
We are looking for a Mid-level Data Analyst to work in our B2B Corporate Clients CRM area. This professional will be a key player in transforming data into actionable strategies, supporting customer relationship decisions, and contributing directly to revenue generation. We are looking for a proactive, results-oriented professional with a strong sense of ownership, capable of acting strategically and executively in the evolution of data-driven CRM.
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 to modeling, integration, performance, quality, observability, and data governance;
- Develop and deploy data products and services that can be reliably consumed by CRM and other teams within the company;
- Build solutions using SQL, Python, and Databricks, seeking automation, efficiency, scalability, and the 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 the democratization of data and knowledge, reducing dependence on manual analysis and allowing business areas to have greater autonomy;
- Work alongside stakeholders to transform business problems into technical requirements, data solutions, and measurable hypotheses;
- Develop proofs of value, experiments, and measurement mechanisms that allow for the evaluation of solution impact and support data-driven decisions;
- Ensure best practices for documentation, versioning, testing, monitoring, and maintenance of the developed solutions;
- Take ownership of your deliverables, performing estimations, planning, scope and deadline negotiation, risk identification, and progress reporting to stakeholders.
Qualifications
Mandatory requirements:
- Advanced SQL, including manipulation and transformation of large volumes of data;
- Databricks, with experience in the development and operationalization of 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 a focus on production, scalability, reliability, and reusability, rather than just ad-hoc analysis;
- Strong ability to connect technical decisions to business objectives and results;
- Clear communication and the ability to navigate between technical and business stakeholders;
- Autonomy, organization, and the ability to estimate and manage your own deliverables.
Preferred qualifications:
- Experience with CRM, Customer Analytics, customer segmentation and activation, experimentation/A-B testing, APIs, Git/CI/CD, Lakehouse architecture, Delta Lake, MLflow, and the 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 value generated.
Additional Information
Experian is a global data and technology company that powers opportunities for people and businesses around the world. We operate in diverse markets, such as financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and 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 people-centric, inclusive, and purpose-driven culture is recognized by numerous awards — including World’s Best Workplaces™ 2025 (Fortune's Top 25 global) 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 employer and an affirmative action employer.
Experian Careers - Creating a better tomorrow together
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