Analytics Engineer Specialist

Overview
Analytics Engineer Specialist (Business Analytics)
Be among the first 25 applicants.
At RecargaPay, we're on a mission to deliver the best payment experience for Brazilian consumers and small businesses — by building a powerful digital ecosystem where the banked and unbanked connect, and where consumers and merchants have a one-stop shop for all their financial needs.
We serve over 10 million users and process more than USD 4 billion annually.
We are an AI-first, 100% remote team, scaling in the rapidly changing Brazilian financial market.
Our goal is to deliver the best payment experience in Brazil for people and small businesses alike.
We value autonomy, ownership, and a bias for action.
We're looking for people who are curious, hands-on, and driven by impact — who want to solve real problems, work with strong teams, and rethink what's possible.
Responsibilities
Contribute to the development of business KPIs and analyze product and user behavior trends to inform strategic decisions
Lead the design and evolution of scalable, high-performance analytical data models and architecture
Develop strategic dashboards and analytical layers that support decision-making across multiple business areas
Act as a data partner to key departments, helping define KPIs and drive advanced, data-informed analysis
Ensure governance, standardization, and integration of analytics solutions within existing data pipelines
Promote data democratization through self-service tools, automation, and internal capability building
Collaborate with Data Engineering, Product, and Tech teams to connect analytics with digital products and business goals
Mentor the Analytics team, fostering technical growth, methodological rigor, and strong data storytelling
Stay on top of analytics trends and tools to drive continuous innovation
Technical Requirements
Deep expertise in SQL, Python, and visualization tools (Sense, Power BI, Tableau, Looker, etc.)
Solid experience in data modeling (dimensional, Data Vault, semantic layers, etc.)
Ability to work with analytics engineering tools such as dbt, Databricks, PySpark, or BigQuery
Experience in cloud data environments (AWS, GCP, Azure)
Strong ability to structure and conduct exploratory analyses with a strategic focus
Bonus Points
Previous experience with credit or loan products
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, 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).
Legal Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Other
Industries: IT Services and IT Consulting
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