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CELK Sistemas develops integrated healthcare software for Brazil’s public and private health services. Its tools help health organizations manage operations and patient records, with implementations spanning more than 250 municipalities. The company has worked in public health management for over a decade.
Mid-Level Data Analyst (SQL, ETL/ELT) — Brazil Remote
Turn public health data into dependable indicators and solutions at Celk Sistemas. Work with SQL, data lakes, ETL/ELT, dashboards, and data quality.
विवरण
- Turn data into reliable information through querying, analysis, modeling, and visualization
- Enable better decisions, process improvements, and continued development of Celk’s technology solutions
- Extract, process, and combine data from data lakes, databases, internal systems, and other sources while maintaining consistency and reliability
- Build SQL queries and ETL/ELT workflows to extract, transform, validate, and deliver data
- Help expand the data lake by organizing layers, connecting new sources, building datasets, and maintaining its catalog, metadata, data dictionary, and documentation
- Examine data for patterns, trends, and inconsistencies, trace underlying causes, and recommend solutions
- Convert the needs of internal teams and clients into metrics, KPIs, and visualizations
- Create and maintain reports, dashboards, KPIs, and data models
- Protect data quality, integrity, and security through access controls, internal policies, and LGPD compliance
- Partner with Development, DevOps, and DBA teams to investigate issues and improve solutions
- Find ways to automate work, optimize queries, and reduce costs
आवश्यकताएँ
- Completed or ongoing bachelor’s studies in Data Science, Information Systems, Computer Science, Engineering, Statistics, or a related discipline
- Intermediate to advanced SQL skills with relational databases
- Ability to extract, process, analyze, and validate data
- Experience developing reports, KPIs, and data visualizations
- Knowledge of data modeling and table relationships
- Experience with business intelligence tools such as Power BI, Amazon QuickSight, Tableau, or Qlik
- Understanding of data lake concepts and how data lakes differ from data warehouses and lakehouses
- Knowledge of organizing data into layers, such as medallion architecture (bronze, silver, gold) or raw, trusted, and refined layers
- Familiarity with analytical file formats including Parquet, ORC, Avro, CSV, and JSON
- Ability to query data lakes with Amazon Athena, Trino/Presto, or Spark SQL, and understanding of data partitioning
- Knowledge of managing data quality, integrity, and consistency
- Ability to interpret business rules and document analytical criteria and findings
- Knowledge of information security principles and Brazil’s LGPD personal data protection requirements
लाभ
- Medical insurance
- Dental insurance
- Life insurance
- Meal or food voucher
- Birthday leave
- Wellhub membership (formerly Gympass)
- Work from home
- Monday to Friday schedule, 8:00 a.m. to 5:00 p.m. (40 hours per week)
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