This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Analytics Engineer Tech Lead based in Brazil.
As an Analytics Engineer Tech Lead, you will take ownership of the technical vision and evolution of analytics data models that power critical product and business decisions in a fast-paced fintech environment. You will lead the design of scalable data pipelines and product-oriented data architectures, ensuring that key metrics are consistent, reliable, and accessible across the organization. This role places you at the center of data strategy for credit and fraud prevention products, where your work will directly impact experimentation, customer insights, and operational efficiency. You will collaborate closely with cross-functional squads, bridging business needs with technical execution while promoting best practices in analytics engineering. This is a high-impact leadership role for someone passionate about data, product analytics, and scalable architecture in modern financial systems.
Accountabilities:
- Lead the architecture, design, and evolution of analytical data models focused on product metrics, customer journeys, and financial use cases.
- Define and enforce best practices for data engineering within the analytics team, including versioning, documentation, testing, and code quality standards.
- Design, build, and optimize scalable data pipelines using SQL, dbt, Python, and modern data engineering tools.
- Ensure data governance, accuracy, and reliability for dashboards, experimentation frameworks (including A/B testing), and product analytics.
- Establish and maintain centralized “source of truth” metrics to ensure consistency across the organization.
- Collaborate with product squads, engineering, and business stakeholders to define KPIs, measure product impact, and support decision-making.
- Mentor and guide analytics engineers, fostering technical growth and promoting a strong data engineering culture.
- Stay up to date with industry trends, introducing innovations, automation, and improvements to analytics engineering processes and architecture.
Requirements
- Proven experience as a Tech Lead or senior data/analytics engineering role, preferably in fintech or digital product environments.
- Strong expertise in data modeling, analytics architecture, and building scalable data marts and pipelines.
- Hands-on experience with dbt (mandatory) and version control tools such as Git/GitHub.
- Advanced SQL skills for large-scale data transformation and analysis.
- Strong Python proficiency for data processing, pipeline orchestration, and automation.
- Experience working with BI tools such as Metabase, Power BI, Tableau, or similar platforms.
- Ability to translate business requirements into technical data solutions and act as a bridge between product and engineering teams.
- Solid understanding of product analytics, experimentation, and data-driven decision-making.
- Bachelor’s degree or equivalent experience in Computer Science, Engineering, Data Science, Statistics, Economics, or related fields.
- Strong communication, leadership, and mentoring skills with a collaborative mindset.
Nice to have:
- Experience in fintech, payments, or financial services environments.
- Familiarity with Databricks or cloud-based data platforms.
- Exposure to machine learning applications in product analytics (e.g., recommendation, prediction, personalization).
- Experience with modern data architectures such as data mesh, event-driven systems, or CDC pipelines.
- Background in A/B testing, statistical analysis, and product experimentation.
Benefits
- Opportunity to lead analytics engineering strategy in a fast-growing fintech environment.
- Full remote work flexibility across Brazil.
- Strong culture of autonomy, innovation, and technical ownership.
- Comprehensive health and wellness benefits supporting physical, mental, and financial well-being.
- Learning and development support, including courses, certifications, and educational subsidies.
- Modern engineering environment with exposure to advanced data platforms and scalable architectures.
- Work in a collaborative, high-impact team focused on product innovation and data-driven growth.
- Additional perks including parental support, wellness programs, and employee assistance initiatives.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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