Senior Data Analyst
Q
QSHigher Education
Ecuador / Any LATAM CountryContractSenior
Salary not disclosed
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Job Details
- Required Skills
- PostgreSQLPythonSQLData AnalysisETLMicrosoft Power BISnowflakePandasData visualizationBigQuery
Requirements
- Strong expertise in SQL (PostgreSQL and BigQuery) for querying and data analysis.
- Hands-on experience with BI tools such as Power BI to create dashboards and reports.
- Strong experience with cloud data warehouse platforms such as BigQuery or Snowflake.
- Familiarity with basic ETL processes and data cleaning techniques to prepare datasets for analysis.
- Basic Python skills for data manipulation (using libraries like Pandas, NumPy).
- Understanding of data quality standards, with a focus on accuracy, completeness, and consistency.
- Experience in documenting data processes and analysis to ensure knowledge sharing and reproducibility.
- Strong analytical skills with the ability to interpret complex data and communicate findings to both technical and non-technical audiences.
- Curiosity and willingness to continuously learn new tools and methods.
Responsibilities
- Analyse, clean, and organize datasets to identify trends and deliver actionable insights that support teams across QS.
- Create and maintain dashboards, reports, and visualizations using Power BI, enabling self-service analytics for business teams.
- Transform complex datasets into clear, actionable visual insights, using best practices in data storytelling to support strategic initiatives.
- Collaborate with cross-functional teams to understand data needs and translate them into clear analyses and reports.
- Perform data wrangling and basic ETL tasks, ensuring data is accurate, reliable, and ready for analysis.
- Utilize SQL (PostgreSQL, BigQuery SQL) and Python for querying, data manipulation, and ad-hoc analysis.
- Ensure data quality standards and document processes, maintaining well-organized datasets for analytical use.
- Monitor and troubleshoot data-related issues to ensure consistent and timely delivery of data and reports.
- Stay informed about BI tool enhancements and data visualization best practices to continuously improve reporting and insights.
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