Data Analyst – Mid-Level

BIP Brasil

. Develop and maintain batch and streaming data pipelines (ETL/ELT) .

Posted 11/6/2026full-timeRio de Janeiro • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in developing and maintaining ETL/ELT data pipelines, ensuring data quality and integrity while supporting data scientists with model-ready data. Experienced in data visualization and statistical analysis to drive business insights.

Highest-signal resume keywords

Data EngineeringSQL ProficiencyPython ProficiencyETL/ELT ProcessesData Visualization

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DevelopmentData ModelingData IngestionData CleansingStatistical AnalysisExploratory Data AnalysisAdvanced Analytics TechniquesMachine Learning ConceptsData GovernanceData Security

Tools & Technologies

Power BITableauCloud Data PlatformsBig Data Environments

Industry Keywords

Data LakesData WarehousesHybrid Work ArrangementBusiness Requirements TranslationOperationalization of Machine Learning Models

Tech Stack

Tools & technologies

ETLPythonSQLTableau

About the role

Key responsibilities & impact

Develop and maintain batch and streaming data pipelines (ETL/ELT)
Structure and model data in Data Lakes and Data Warehouses
Ensure data quality, integrity, and availability
Create exploratory and statistical analyses to answer business questions
Develop and maintain dashboards and reports (Power BI, Tableau, and similar tools)
Translate business requirements into technical data specifications
Support data scientists and AI engineers with model-ready data
Collaborate on the operationalization of Machine Learning models
Apply data governance and security best practices

Requirements

What you’ll need

Bachelor’s degree required; all fields of study are welcome
Experience in Data Engineering, Data Analysis, or related areas
Proficiency in SQL and Python
Experience with data ingestion, cleansing, transformation, and modeling
Knowledge of ETL/ELT processes and data pipeline development
Familiarity with cloud data platforms and Big Data environments
Knowledge of statistical analysis, exploratory data analysis, and advanced analytics techniques
Familiarity with Machine Learning and Artificial Intelligence concepts
Experience with data visualization tools and dashboard development is a plus
Availability to work in a hybrid arrangement in Rio de Janeiro (RJ), two days per week

Benefits

Comp & perks

All Points (points program for flights and hotel accommodations)
Health insurance
Dental insurance
Life insurance
Pet insurance partnership
Mobility benefits, including fuel and Uber/99 options
Flex Reimbursement (glasses, vaccines, education, concerts, and more)
Meal and/or food allowance
Birthday day off
Wellhub (formerly Gympass)
Alelo Club, with discounts at various stores and pharmacies
180 days of maternity leave
30 days of paternity leave
Childcare assistance during the baby’s first year
Transportation allowance according to project or department needs
Annual bonus program
Referral commission for bringing in new clients
A global training and development center offering the latest industry content and courses
Flex Time – dedicated time each week for your professional development
Mentoring programs with recognized leaders in their fields
Semiannual performance reviews
Feedback culture and recurring 1:1 meetings with your manager and team
Personalized development plan aligned with your goals
Darwin – global development program for young talent
Grounding – global development program for newly hired professionals
Induction – international onboarding
Spinnaker – training focused on strengthening the strategic skills of Managers and Senior Managers