Analytics Engineer Tech Lead

Analytics Engineer Tech Lead (Regulatory Data Core Squad)Analytics Engineer Tech Lead (Regulatory Data Core Squad)

Come and impact millions of Brazilians

Want to make a difference in the lives of millions of Brazilians? At RecargaPay, we create accessible and innovative financial solutions that transform the way people interact with money. Be part of this impactful and innovative journey, connecting people with opportunities that truly make a difference in their daily lives.

Our purpose is to deliver the best mobile payment experience for Brazilians, addressing real-world challenges with smart solutions like Pix Parcelado, while staying attentive to market trends and our customers' needs. Here, we value collaboration, ownership, and a relentless pursuit of results, delivering excellence in every interaction.

If you're looking to join a dynamic environment that challenges the status quo and puts people at the center of decision-making, RecargaPay is the perfect place for you to grow, co-create, and make a difference

Responsibilities

The Analytics Engineer Tech Lead - Regulatory Reporting ensures the accuracy, compliance, and continuous evolution of regulatory reports (e.g., CADOCs) through advanced data modeling, extraction, transformation, and analysis using SQL, Python, Databricks, Redshift, Qlik Sense, and other internal tools. This role acts as a bridge between Data Engineering, Analytics, Compliance, Finance, and Product teams, ensuring that data products are scalable, standardized, and drive strategic insights across the organization. The specialist must proactively adapt reporting frameworks to evolving BACEN regulations while also leading initiatives to democratize data access, foster data governance, and promote excellence in data storytelling and analytical methodologies.

• Lead the design and architecture of analytical data models focused on performance, scalability, and regulatory compliance
• Perform data extraction, transformation, and analysis using SQL, Python, and Databricks to support accurate and timely regulatory reporting
• Analyze large datasets to identify trends, patterns, anomalies, and ensure alignment with BACEN regulatory requirements
• Design, build, and oversee strategic dashboards and analytical layers serving multiple business areas and organizational levels, mainly using Qlik Sense and other visualization tools
• Continuously optimize data models and dashboards for maintainability and scalability
• Ensure the standardization, governance, and versioning (Git) of all analytical solutions
• Promote best practices for data integrity, accuracy, and consistency in regulatory and business reporting
• Drive initiatives to automate analytics processes and increase self-service capabilities across business units
• Act as a trusted data advisor for Compliance, Finance, Accounting, and Product teams, supporting KPI definitions, advanced analytics, and decision-making frameworks
• Work closely with Data Engineering, Product, and Technology teams to integrate data solutions into digital products, operational processes, and business strategies
• Develop and maintain dashboards and reports to track data quality, reporting performance, regulatory KPIs, and adapt promptly to new norms and directives
• Proactively monitor trends in data analysis and propose innovations to enhance the analytics ecosystem
• Mentor and upskill Analytics professionals, fostering technical growth, consistency in methodologies, and excellence in data storytelling practices
• Demonstrate autonomy, proactivity, and ownership to deliver high-quality results, meeting regulatory deadlines and evolving business needs
  
  

Requirements

• Experience in the financial sector, preferably in regulatory reporting, finance products, fintechs, or financial ecosystems
• Experience in data analytics using Databricks, SQL, and Python
• Proven experience designing and optimizing analytical data models and scalable dashboards
• Solid background in BI and dataviz tools (Qlik Sense preferred; experience with Tableau, Power BI, or Looker is a plus)
• Strong understanding of data governance, versioning using Git, and management of analytical solutions
• Experience integrating data into digital products, business processes, and strategies
• Ability to translate complex business requirements into scalable, maintainable, and impactful data solutions
• Strong mathematical and financial knowledge is a plus
• Knowledge of Spark and Databricks advanced functionalities is a plus
• Excellent communication and data storytelling skills to influence strategic decision-making
• Strong leadership skills to mentor Analytics teams and promote a data-driven culture
• English or Spanish proficiency is a plus
  
  

Benefits

• Competitive and market-aligned salary
• Remote work — wherever you are, you're part of the team
• Home office allowance through a monthly deposit in the RecargaPay app
• Health and dental plans with no co-pay
• Life insurance
• Flexible meal allowance (via Flash)
• TotalPass membership to take care of your health
• Spanish or Portuguese classes
  
  

Diversity & Inclusion at RecargaPay

At RecargaPay, you'll have the freedom to be who you are because we believe that diverse perspectives and experiences make us more creative and stronger. Here, everyone is welcome to express themselves authentically. We value the richness of each journey and the multiple ways of seeing the world, without distinctions of gender, race, sexual orientation, age, religion, or any other characteristic that makes us unique.

About The Use Of Your Data

By sharing your resume with us, you authorize the use of your data for analysis during the selection process and possibly for other opportunities within the RecargaPay group. You can request the update or deletion of your information at any time, in accordance with LGPD (General Data Protection Law).Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionInformation Technology
• IndustriesIT Services and IT Consulting

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