Database Analyst – Franchises
Grendene S/A
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Ensure the integrity and availability of data by organizing and controlling the information used by systems and business areas.
- Administer SQL Server databases, including installation, configuration and maintenance of environments.
- Create and maintain data structures such as views and queries used in reports, dashboards and systems.
- Support users and internal teams in identifying data-related issues, such as crashes, inconsistencies and performance problems.
- Perform analysis and tuning to improve the performance of queries and database processes.
- Maintain the databases used by the area's applications, such as Clube Melissa and SisFranquias.
- Create and manage jobs, users, permissions and access, ensuring the security and organization of environments.
- Document database structures and related processes to facilitate understanding and continuity of work.
- Support data integration and automation initiatives, participating in the development of routines and pipelines with the technical team.
Requirements
- Bachelor's degree completed or in progress in areas such as Information Technology, Systems, Business Administration or similar.
- Experience with relational databases, especially SQL Server.
- Knowledge of creating queries, views and structuring data.
- Understanding of database performance and the ability to identify issues.
- Basic knowledge of Python or interest in automating data processes.
- Experience with code versioning, such as Git, will be considered a plus.
- Differentials
- Experience with data tools such as BigQuery.
- Experience with relational databases, especially Postgres and SQL Server.
- Exposure to ETL processes or data orchestration tools such as Airflow.
- Experience with development or integration of systems.
- Knowledge of cloud environments.
- Previous experience in retail or with commercial systems.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQL Serverrelational databasesqueriesviewsdatabase performancePythonGitBigQueryETL processesdata orchestration