Data Manager, Analytics

Why join us
Brex is the AI-powered spend platform.
We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses.
Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.
We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.
We make this a reality by empowering you with the tools, resources, and support you need to grow your career.Data at Brex
The Data team turns information into advantage.
We design infrastructure, develop models, and deliver insights that power smarter decisions across Brex.
Our scientists and engineers are embedded across product, engineering, risk, operations, and business teams — building data products, improving customer experiences, and shaping high-impact strategies.
We treat data as a product, and ownership runs deep.
If you're excited by complexity and want your work to drive decisions at scale, this is your team.
What you'll do
As Data Manager, Analytics, you'll own Brex's company-wide reporting and lead a growing team of embedded Data analysts across GTM, Operations, Product, and Marketing.
You'll define our KPI framework and semantic layer, deliver executive-ready dashboards and business reviews, and raise the craft of analytics through coaching, standards, and tooling.
Your work will give leaders a single source of truth, shorten time-to-insight, and help Brex deploy capital and people where they drive the most impact.
In 6–12 months, success looks like:
Build and maintain the trusted set of KPI used across functions and exec forums.
Reporting that is on-time, accurate, and self-serve for most routine questions.
A high-performing analyst team with clear goals, growth and plans
Where you'll work
This role will be based in our Sao Paulo office.
You must be willing to work in office at least 2 days per week on Wednesday and Thursday, starting the week of September 1st, 2025, when we open our Sao Paulo office.
Employees will be able to work remotely for up to 4 weeks per year.
Responsibilities
Lead the company-wide reporting strategy and roadmap, defining the KPI framework, metric governance, and exec/board-level readouts.
Develop a scalable semantic/metrics layer (e.g., dbt + BI) that standardizes definitions and powers self-serve analytics.
Manage and grow embedded analysts; set objectives, establish craft standards, and run a healthy operating cadence (planning, backlog, QA, post-mortems)
Partner with GTM/Ops/CX/Product/Marketing leadership to translate business goals into measurable targets, experiments, and forecastable pipelines.
Operationalize executive dashboards and weekly/monthly/quarterly business reviews; ensure coherent narratives and consistent KPI hygiene.
Improve data quality via SLAs, monitoring, and incident response; communicate impacts and drive root-cause fixes with Data Science & Data Engineering.
Influence strategy with deep analysis (cohorts, funnels, retention, pricing, forecasting); quantify trade-offs and expected ROI of key bets.
Requirements
7+ years in analytics; 2–4+ years managing analysts; high-growth tech/fintech.
Expert SQL; Python; Snowflake; dbt (or similar).
BI/semantic-layer design; exec-quality dashboards (Looker/Mode/Hex/Tableau).
KPI ownership and governance at scale.
Executive communication; stakeholder influence; team leadership.
Reliable reporting execution with QA and SLAs.
English proficiency/fluency, both written and speaking (note: interviews will be conducted in English).
Must be willing to work in office 2 days per week on Wednesday and Thursday.
Bonus points
Built or migrated a company-level metrics layer (e.g., LookML/dbt metrics) that unlocked self-serve at scale.
- Experience in B2B SaaS or fintech (spend management, payments, risk, or growth analytics.
Stood up KPI-driven business reviews for execs/board (e.g., WBR/MBR/QBR) with clear owner playbooks.
Led analytics hiring at scale; designed case studies and rubrics that improved signal and reduced bias.
Advanced methods when needed (causal inference, forecasting, or experiment design) to inform high-stakes decisions.