
Leading Business Data Analyst
21 hours ago
About the Role:
This role is a hybrid between data engineering and analytics. The ideal candidate will have strong technical skills in SQL, Python, and data pipelines, as well as the ability to translate data into actionable insights.
Key Responsibilities:
- Supervise management and maintenance of data collection tools used by various departments.
- Design, build, and maintain robust ETL pipelines using Azure Data Factory, Logic Apps, or APIs.
- Administrate and optimize the EduFinance SQL database on Microsoft Azure.
- Ensure high-quality, clean, and well-documented data pipelines and dataflows.
- Implement and maintain data quality controls.
- Manage special data projects as the organization expands into new areas.
Business Intelligence & Analytics:
- Develop and maintain interactive Power BI dashboards and automated reporting tools for various departments.
- Conduct in-depth analysis using SQL, Power BI, Python, and Excel to provide actionable insights supporting decision-making.
- Use Excel (including Power Query, PivotTables, advanced formulas, and macros where applicable) for ad hoc analyses.
- Present findings and insights to internal teams, financial institution partners, and other stakeholders in a clear and actionable manner.
- Ensure dashboards and data collection tools are accurately reflecting the status of the program.
- Special projects requiring data analysis for business decisions.
Required Skills and Qualifications:
- Undergraduate degree in data science, computer engineering, statistics, or another quantitative field required.
- Minimum 3 years' experience in SQL development and database administration (Azure SQL preferred).
- Minimum 3 years' experience building and maintaining ETL pipelines (Azure Data Factory, Logic Apps, or similar tools).
- Proficiency with APIs and data integration methods.
- Advanced Excel skills (Power Query, PivotTables, advanced formulas, macros a plus).
- Expertise in Power BI (DAX, data modeling, dashboard/report design).
- Proficiency in Python for data transformation, automation, and analysis.
- Able to promote and communicate the organization's goals and objectives to external and internal stakeholders.
Desirable Skills:
- Experience with Salesforce or similar CRMs.
- Knowledge of R for advanced analysis.
- Experience with version control (Git/GitHub/Azure DevOps) and collaborative coding practices.
- Familiarity with data governance frameworks, such as GDPR compliance.
Language Skills:
- Written and verbal fluency in English required; fluency in French or Spanish desirable but not required.
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