Data Analyst - Higher Education

Job Description As a Data Analyst in our team, you will contribute to institutional research by supporting data analysis and reporting. You will closely collaborate with faculty and administrators to gather and analyze data related to student success, program evaluation, and resource allocation. **Key Responsibilities:** - Develop and maintain data pipelines to process large datasets. - Perform statistical analysis using R or Python. - Create dashboards and reports to visualize data insights. - Collaborate with stakeholders to define reporting requirements. - Maintain data quality and integrity. **Qualifications Required:** - Bachelor's degree in Statistics, Data Science, or a related field. - Proficiency in SQL and data manipulation tools. - Experience with data visualization tools such as Tableau or Power BI. - Strong analytical and problem-solving skills. - Excellent communication skills. In addition to the above, benefits included in this role are a competitive salary and benefits package, opportunities for professional development, an international work environment, and access to university resources. In a typical day, you can expect to engage in activities such as data cleaning, running statistical analyses, creating visualizations, and meeting with stakeholders to discuss findings. As a Data Analyst in our team, you will contribute to institutional research by supporting data analysis and reporting. You will closely collaborate with faculty and administrators to gather and analyze data related to student success, program evaluation, and resource allocation. **Key Responsibilities:** - Develop and maintain data pipelines to process large datasets. - Perform statistical analysis using R or Python. - Create dashboards and reports to visualize data insights. - Collaborate with stakeholders to define reporting requirements. - Maintain data quality and integrity. **Qualifications Required:** - Bachelor's degree in Statistics, Data Science, or a related field. - Proficiency in SQL and data manipulation tools. - Experience with data visualization tools such as Tableau or Power BI. - Strong analytical and problem-solving skills. - Excellent communication skills. In addition to the above, benefits included in this role are a competitive salary and benefits package, opportunities for professional development, an international work environment, and access to university resources. In a typical day, you can expect to engage in activities such as data cleaning, running statistical analyses, creating visualizations, and meeting with stakeholders to discuss findings.