Data and Business Intelligence Analyst
4 days ago
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Job Summary
The Data and Business Intelligence Analyst will play a key role in building and maintaining EduFinances data infrastructure while delivering insightful analysis through Power BI and Excel. The role is a hybrid between data engineering and analytics, requiring strong technical skills in SQL, Python, and data pipelines, as well as the ability to translate data into actionable insights.
Responsibilities
Data:
- Supervise management and maintenance of data collection tools that are used by all EduFinance departments (EFP, Education Quality, MERL)
- E.g., Fulcrum, Google Forms, Titus, Salesforce
- Design, build and maintain robust ETL pipelines (e.g., Azure Data Factory, Logic Apps, APIs).
- Administration and optimization of 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 EduFinance expands into new areas
Business Intelligence & Analytics:
- Develop and maintain interactive PBI dashboards and automated reporting tools for EFP, Education Quality, MERL
- Conduct in-depth analysis using SQL, Power BI, Python, and Excel to provide actionable insights to support 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 that require data analysis for the purposes of making stronger business decisions.
Qualification
- Undergraduate degree in data science, computer engineering, statistics, or another quantitative field required
- Minimum 3 years' experience in SQL development and database administration experience (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.
- Passionate about Opportunity's mission. 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
- Written and verbal fluency in English required, fluency in French or Spanish desirable but not required
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