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2 mo agofound 7 d ago
Data Analyst (Analista de Datos) - Hybrid
What the posting is about
Join Clara, the leading B2B fintech in Latin America, as a Data Analyst. Design impactful dashboards, conduct deep-dive analysis, and drive business decisions. Enjoy a hybrid work model, competitive salary, and growth opportunities.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentFull time
LocationBogota, CUN, Colombia, Bogota D.C., DC, Colombia, Mexico City, CDMX, Mexico, Sao Paulo, SP, Brazil
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-08-05
Found viagreenhouse, direct from their system
We saw it 2 months after it went up.
The posting, as the company wrote it
Clara is the leading spend management platform in Latin America. More than 40,000 businesses run on our corporate cards, bill pay, financing and B2B payments, and in 2025 the Financial Times named Clara the fastest-growing company in Latin America. We're ~400 people, backed by Kaszek, monashees, Coatue, DST Global, ICONIQ, General Catalyst and Goldman Sachs, among others.
What you'll do
We're looking for a Data Analyst to join our Data team and help drive decision-making across Clara. In this role, you will be the bridge between raw data and actionable business insights. You will not only report on what is happening but help us understand why it is happening, ensuring our teams have the accurate data they need to move fast and build financial solutions for companies in Latin America.
Design and maintain high-impact dashboards and reports to support critical business decisions.
Conduct deep-dive data analysis to identify trends, patterns, and anomalies that drive product and operational improvements.
Partner closely with data engineers and data scientists to ensure Data Integrity and quality across our pipelines.
Automate reporting workflows to reduce manual effort and increase the speed of insight delivery.
Translate complex datasets into clear, narrative-driven insights for non-technical stakeholders.
Who you are
Must haves
Working proficiency in English.
Degree in Data Science, Statistics, Mathematics, Economics, or related quantitative fields.
Strong proficiency in SQL for database manipulation and querying large datasets.
Proven experience in data analysis, specifically in extracting actionable insights from raw data.
Solid understanding of descriptive statistics and exploratory modeling concepts.
Familiarity with data visualization tools (e.g., Metabase or similar BI platforms).
High attention to detail with a strong emphasis on maintaining data quality, given the financial nature of our business.
Experience or interest in AI tools to automate workflows.
Adaptability to fast-changing environments and a high level of ownership.
Nice to haves
Basic experience with Databricks .
Practical experience with ETL or ELT processes.
Independent analytical skills using Python for more advanced statistical analysis.
Basic proficiency in Portuguese or a desire to learn it and English Fluent.
A good sense of humor.
Why Clara
A high talent-density team driven to make an impact in Latin America — low ego, high ownership.
Competitive salary and stock options (ESOP) from day one.
An annual learning budget and accelerated development paths.
English is our working language, with Spanish and Portuguese every day.
How we work
Clarity — Open and direct communication: we say what we mean and give context where it matters.
Simplicity — If it can be simpler, it should be.
Ownership — We own everything we do, end to end. When something needs to happen, we don't wait.
Pride — We hold ourselves to a high standard, and it shows in what we deliver.
ABC (Always Be Changing) — We adapt fast, embrace change, and keep learning.
Inclusivity — Diverse ideas, stories and perspectives build a better Clara.
Hybrid at Clara
Claridians split their time between the office, customers and home. We don't set a minimum number of office days for most roles, but we expect you to spend time there naturally, and most days during your ramp-up or when your leader asks.
If you meet the must-haves, apply — the nice-to-haves are a bonus, not a requirement.
Copied from Clara’s own board, not rewritten. Original ↗
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