
Data Specialist II – Business Intelligence, Data Analysis
Sabesp
full-time
Posted on:
Location Type: Hybrid
Location: São Paulo • 🇧🇷 Brazil
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AirflowAWSAzureETLGoogle Cloud PlatformInformaticaOraclePythonSQLTableau
About the role
- Lead the technical BI and Analytics team, ensuring high-quality deliveries aligned with business needs.
- Develop and oversee data collection, integration, and modeling processes for advanced analyses.
- Create dashboards, reports, and visualizations that translate complex data into clear, actionable information for managers.
- Conduct advanced exploratory analyses to identify trends, opportunities, and risks.
- Ensure the quality, consistency, and security of the data used to generate insights.
- Support business areas in defining strategic KPIs and metrics.
- Evaluate new technologies and methodologies to advance BI and Analytics platforms.
- Serve as an internal consultant, advising stakeholders on best practices for analysis and data-driven decision making.
Requirements
- Bachelor’s degree in a Technology-related field.
- Proven experience in one or more of the following business areas: Customer Service, Revenue Recovery, Collections, Billing, Field Operations, or Finance.
- Strong experience with BI tools (Power BI, Tableau, Qlik, or similar).
- Advanced knowledge of SQL, data modeling, and relational databases (Oracle, SQL Server, etc.).
- Experience with ETL processes and tools (Informatica, DataFlow, or Airflow).
- Proficiency in advanced data analysis and use of languages such as Python (or R).
- Familiarity with Big Data and cloud technologies (Azure, AWS, or GCP).
Benefits
- Medical Insurance
- Private Pension Plan
- Meal Allowance (VR) and Food Voucher (VA)
- Transportation Allowance
- Christmas Basket
- Birthday Day Off
- Extended Maternity and Paternity Leave
- Childcare Assistance for Mothers and Fathers
- Wellhub (Gympass) Partnership
- Profit Sharing Program – PPR
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata modelingrelational databasesETL processesPythonRadvanced data analysisBI toolsdata collectiondata integration
Soft skills
leadershipcommunicationconsultingstakeholder managementstrategic thinkingproblem-solvinganalytical thinkingteam collaborationdecision makingquality assurance