At National University, we believe it’s not just about the degrees our students earn, but the degree to which they use them.

Since 1971, we have supported working professionals who want to be a powerful force for positive change. That’s why we make education accessible to adults who live and work in the real world. It’s why we were the first to develop a flexible, one-class-per-month format. It’s why we offer more than 120 graduate and undergraduate degree programs. And it’s why we will continue to innovate and leave a mark on people who will one day leave their mark on the world.

We embrace diversity. Because it brings a new perspective to every industry. Our classes and faculty are made up of an eclectic mix of people who reflect our different communities and have the influence to shape where we’re headed.

We do all this because we care. About our students. Our staff. Our supporters and our community. We are a private, nonprofit institution that does not answer to shareholders. We invest our money back into making improvements so that the people who come here can do the same.

We know our legacy does not end when our students graduate. It begins.

The Data Analyst on the Data & Insights team works cross-functionally with data engineers, data scientists, and business experts to help National University deliver a better student experience using data and analytics. The analyst collaborates on a variety of projects that include building analytical models, coding, data visualizations, and storytelling to help identify opportunities for our students, our faculty, and our staff. Our teams and projects are organized in an agile methodology, with scrum teams serving distinct pillars of the organization, allowing the incumbent to become an expert in one of our key business and data domains: i.e., academics and institutional research, student operations (advising, financial aid, etc.), marketing/enrollment, and University partnerships. Additionally, the analyst responds to requests, gathers requirements, and designs reporting, with an opportunity to work cross-functionally and develop relationships with business owners, helping them apply data and insights for student success, continuous organizational improvement, and achievement of strategic goals. The analyst conducts full lifecycle analysis to include requirements, activities, design, and reporting.

The Data Analyst turns data into information, and information into insights that can inform business decisions.

Essential Functions:

• Use Structured Query Language (SQL) to gather and assess data across new and legacy data warehouses.
• Engage with stakeholders to translate data requests into technical requirements for reporting and accurately size requests for sprint planning.
• Collaborate with data engineers and data governance colleagues on the data production lifecycle from request to fulfillment, communicating on request requirements, definitions, database needs, quality assurance (QA), security, and dev ops movement between DEV, UAT, and PROD environments.
• Adhere to style-guide and, where appropriate, templates in developing Excel files, Power BI paginated reports, and Power BI dashboards that convey information in an actionable and understandable format.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Manage stakeholder expectations and project manage design, development and delivery of data solutions, own data analysis where needed, and communicate the outcomes/insights to various collaborators to aid strategic decisions for improvements.
• Filter and “clean” data by reviewing reports and performance indicators to locate and correct code problems.
• Work within scrum team and sprint process to prioritize business and information needs.
• Locate and define new process improvement opportunities.
• Other duties as assigned.

Education & Experience:

• Bachelor’s degree required; preferably in Data Science, Computer Science, Statistics, Engineering, or other quantitative fields.
• Minimum of two (2) years of experience in data analytics.
• • Master’s degree in data analytics in lieu of experience.
• Experience constructing custom datasets for analysis preferred.
• Experience creating tabular reports, Power BI preferred.
• Experience with advanced data visualization platforms, Power BI preferred.
• Experience in higher education preferred.
• Experience in Federal, state, and internal higher education compliance reporting, preferred.
• Experience working in a technology-driven enterprise preferred.

Competencies/Technical/Functional Skills:

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• A demonstrated ability to use SQL to query and extract findings using from large data sets in relational databases such as SQL Server, Teradata, Oracle, etc.
• Proficient in SQL query design, generation, and reporting.
• Expert in Excel pivot tables and charts.
• Ability to work closely with business owners to translate needs into technical data requirements and solutions.
• Quick and adaptable thinker; willing to discover alternative solutions to technical problems.
• A desire to solve complex problems with creative and concise solutions.
• Excellent written and verbal presentation skills – ability to communicate findings with non-technical stakeholders in concise and simple terms.
• Ability to thrive in a collaborative, team-oriented environment.
• Self-organized and able to successfully complete assignments on time in a fully remote environment.
• Capable of performing in a professional and friendly manner despite conditions of deadlines and pressure.
• Ability to work on multiple projects, both independently and as a team member. Adjusts to changing environments while sustaining value-added services.
• Proficient in Microsoft 365 Office suite (Word, Excel, PowerPoint, Outlook).

Location: Remote

Travel: No Travel Required