Analytics Engineer Specialist (Business Analytics)

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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