Tulane University

Data Analyst

NEW ORLEANS, LAPosted 30+ days ago

Job summary

  • Job post source

    This job is directly from Tulane University

  • Job overview

    The Data Analyst role at Tulane University supports data analysis and reporting to aid decision-making in academic and student services units.

  • Responsibilities and impact

    The Data Analyst develops and maintains Power BI dashboards, supports Salesforce CRM reporting, and manages Career Services survey data analysis.

  • Experience and skills

    Candidates need a Bachelor's degree with 1 year of data analysis experience or a High School diploma with 7 years of experience, proficiency in Excel, Power BI, and CRM tools is preferred.

  • Company information

    Tulane University is an academic institution focused on supporting educational and student service units through data-driven insights.

Company overview

Tulane University is a prestigious private research institution located in New Orleans, Louisiana, known for its strong emphasis on interdisciplinary scholarship and community engagement. It generates revenue through tuition, research grants, and donations, and offers a wide range of undergraduate, graduate, and professional programs. Founded in 1834 as a medical college, Tulane has evolved into a comprehensive university with notable programs in law, business, and public health. The university is also recognized for its commitment to public service and its significant contributions to research and innovation.

How to land this job

  • Tailor your resume to highlight your proficiency in Power BI dashboard development, data analysis, and reporting, as these are central to the Data Analyst role at Tulane University.

  • Emphasize your experience with Microsoft Excel, especially your ability to use advanced formulas and data organization techniques, along with any familiarity with Salesforce or CRM systems.

  • Apply through multiple platforms including Tulane University's official careers page, LinkedIn, and relevant job boards to maximize your application visibility.

  • Connect with current employees or team members in the Newcomb-Tulane College or related data analytics divisions on LinkedIn; start conversations by commenting on recent projects they shared or asking how data insights impact their decision-making processes.

  • Optimize your resume for ATS by incorporating key terms from the job description such as 'Power BI,' 'data analysis,' 'Salesforce CRM,' 'quantitative analysis,' and 'data visualization' to ensure it passes initial screenings.

  • Leverage Jennie Johnson's Power Apply feature to automate tailored applications across multiple channels and identify LinkedIn contacts within Tulane University, allowing you to focus your energy on interview preparation and networking.

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