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 achieve their dreams and companies of all sizes and segments 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 a constituent of the FTSE 100 index.
Job Description
We are looking for a Mid-Level Data Analyst to work in the B2B Corporate Clients CRM area. This professional will be a key player in transforming data into actionable strategies, supporting customer relationship decisions and directly contributing to revenue generation. A proactive, results-oriented professional with a strong sense of ownership, able to act 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 segmentations and customer 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 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 turn 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-driven decisions;
- Ensure good practices in 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 reporting to stakeholders.
Qualifications
Mandatory requirements:
- Advanced SQL, including manipulation and transformation of large data volumes;
- Databricks, with experience 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 your own deliverables.
Differentials:
- 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 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 empowers 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 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 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 opportunities and affirmative action.
Experian Careers - Creating a better tomorrow together
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