Mid-level Data Analyst – Statistics, Machine Learning

Mercafacil

Data Analyst applying statistical models and machine learning to inform business decisions. Collaborating with teams to leverage data for strategic insights and predictions.

Posted 5/22/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowBigQueryPythonSparkSQL

About the role

Key responsibilities & impact

You will bring statistical rigor to business decisions.
As part of the BI team, your mission is to go beyond descriptive analysis by applying statistical and machine learning models to find patterns, validate hypotheses, and generate forecasts that guide real strategies.
Model complex problems using Python.
Work with large volumes of data in ClickHouse and BigQuery.
Collaborate with product and operations teams to ensure models deliver real value.
Conduct statistical analyses to answer business questions: hypothesis testing, correlation analysis, segmentation, and predictive modeling.
Perform exploratory data analysis (EDA) to understand the data before modeling, identifying patterns and inconsistencies.
Write complex SQL queries in ClickHouse and BigQuery to extract and prepare data for analysis and modeling.
Use Python for data manipulation, exploratory analysis, and model prototyping.
Communicate results and insights clearly to business teams — translating statistics into decisions.
Collaborate with the BI team to define metrics, ensure data quality, and establish analytical best practices.
Monitor models in production, tracking performance and proposing continuous improvements.

Requirements

What you’ll need

Currently pursuing a bachelor’s degree in Statistics, Computer Science, Engineering, Mathematics, or a related field.
Knowledge of Python for data analysis.
Strong applied statistics: hypothesis testing, regression, distributions, confidence intervals.
Experience with supervised modeling: classification, regression, and familiarity with model evaluation metrics (MAPE, RMSE, etc.).
Solid SQL for complex analyses (CTEs, window functions, large-scale aggregations).
Good development practices: organized code, use of Git, basic testing.
Ability to work autonomously and communicate effectively with cross-functional teams.
Experience with ClickHouse and BigQuery.
Knowledge of Retail.
Experience with Spark for large-scale data processing and analysis.
Familiarity with orchestration or model versioning tools (Airflow or similar).
Portfolio with analyses or projects that demonstrate applied statistical reasoning.

Benefits

Comp & perks

Health insurance (Sulamérica or Central Nacional Unimed depending on region) for you and your dependents at no monthly cost; co-pay applies based on use.
Dental insurance (Odontoprev) for you and your dependents at no monthly cost; co-pay applies based on use.
Dasa telemedicine with various online care options, no referral required and no co-pay.
Meu Doutor: family doctor available for employees and dependents enrolled in the medical plan.
Pregnancy support program (for employee or dependent), contributing to a safer and smoother experience during pregnancy, delivery, and postpartum.
Flu vaccine for you and your dependents at no cost.
Prevenar 13 vaccine to help protect against 13 pneumococcal types and subtypes.
Life insurance.
Wellhub.
Extended maternity and paternity leave.
Flexible benefits with the Caju card | Meal/Food allowance (VR/VA).
Birthday off so you can celebrate your birthday.
Day off for moving house.
Extended honeymoon leave to enjoy your honeymoon at ease.
No dress code.
Performance reviews.
Corporate University.
Culture of feedback and frequent 1:1s.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLstatistical analysishypothesis testingregressionpredictive modelingexploratory data analysissupervised modelingdata manipulationmodel evaluation metrics

Soft Skills

communicationcollaborationautonomyproblem-solvingorganizational skills