Data Analyst, Mid-level

ASAAS

Data Analyst joining Asaas to lead regulatory and strategic analyses with focus on data optimization. Develop actionable insights through analytics for better decision-making and compliance.

Posted 6/15/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead end-to-end analyses (descriptive, diagnostic and predictive) on legal/regulatory and strategic topics;
Create, monitor and evolve KPIs for the Regulatory & Strategic Operations, Legal, Compliance, Ombudsman and Risk & Internal Controls areas;
Develop interactive dashboards and management reports using Business Intelligence tools (such as Power BI, Databricks, Metabase or similar) to support strategic decision-making;
Contribute to the evolution of our data catalog together with the Analytics Engineering team;
Lead projects and initiatives to automate processes, increasing efficiency and reducing operational risks;
Work on regulatory and corporate projects, turning data into actionable insights to support business decisions and ensure regulatory compliance;
Translate complex information into clear, accessible and strategic analyses for different company stakeholders;
Support leadership in setting priorities, tracking strategic indicators and advancing the area’s efficiency and innovation plan.

Requirements

What you’ll need

Bachelor’s degree or equivalent practical experience in one of the following fields: Economics, Law, Data Analysis/Data Science, Computer Science, Information Systems, Engineering, Physics, Mathematics or related areas;
Strong experience in Business Intelligence or Data Analytics, focused on business metrics, KPIs and data visualization;
Advanced SQL skills;
Professional experience in data analysis using Python;
Experience in statistical modeling applied to business data, performance metrics and strategic indicators;
Knowledge of Descriptive Statistics, Normal Distribution, Statistical Inference, Hypothesis Testing and Regression;
Professional experience with Business Intelligence tools such as Power BI, Databricks LakeView, Metabase or similar;
Ability to connect quantitative analyses to regulatory and business strategies.

Benefits

Comp & perks

Health and well-being: we offer medical and dental coverage with no co-pay, life insurance, allowances for medication purchases and physical activity. In addition, Neon is our partner for the team’s financial health and Zenklub for mental and physical health (we provide 4 free monthly sessions with a therapist or nutritionist). At headquarters we also offer quick massages.
Food and family: our food benefit is flexible and provided via a Visa credit card. The balance can be used as each employee prefers. At headquarters we provide free food, and for families we offer childcare assistance, a parental support program and extended maternity and paternity leave.
Education and growth: beyond a challenging, development-focused environment, we offer an in-company training platform and provide education assistance that subsidizes 70% of tuition for degrees and language courses, as well as purchases of courses and books, so our team never stops learning.
For quality remote work: we provide a Home Office allowance, work equipment, furniture assistance and we have a partnership with WOBA so employees can use coworking spaces across Brazil when desired.
Extras, because the Dream Team deserves it: we offer a Day Off in your birthday month, a Happy Hour allowance, referral bonuses, annual performance-based bonuses, a Stock Option plan and a relaxed environment with no dress code!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythondata analysisstatistical modelingdata visualizationdescriptive statisticsnormal distributionstatistical inferencehypothesis testingregression

Soft Skills

leadershipcommunicationstrategic thinkingproblem-solvinganalytical thinking