Director, Data Analytics

• The director performs complex analysis, forecasting, and modeling by utilizing data from multiple internal and external sources
• Maintains a Tableau and SAS Visual Analytics dashboard portfolio to provide timely and reliable data for informed decision-making enabling stakeholders at various levels of the organization to use data to drive continuous improvements
• Applies advanced statistical analysis, data mining and various predictive modeling techniques to drive the growth and continued success of the College
• Lead strategic data review and analysis through the creation of reports and data extracts using analytical tools and translating the analysis to inform college decision-making
• Provide proactive support and project management expertise
• Draws out actionable insights to fuel strategy;
• Be an advocate for data-led strategies including the value and importance of continuous testing to deliver optimal results;
• The Director also applies sophisticated knowledge and skills in the use and compilation of data and reporting to support all areas of the College.
• The Director is a creative and agile innovator who takes measured risks, runs pilots, evaluates results, adjusts as indicated and enlists others to produce the very best products and information.
• The Director will direct analysts to turn broad data streams into actionable information for front-line managers and decision makers.

May be required to perform other duties as assigned. May be required to assist the agency or state government generally in the event of an emergency declaration by the Governor.

• Considerable knowledge of SAS software, research methods, and statistical / analytical techniques.
• Excellent analytical, writing and communication skills with the ability to multitask effectively.
• Demonstrated ability to develop reporting methodologies to support organizational goals, mining data from disparate sources, and sophisticated database queries.
• Proven understanding of forecast methodologies.
• Proficiency in statistical software and modeling techniques. Demonstrated competency in manipulating data, creation/refinement of data visualizations, and dashboard development.
• Demonstrated knowledge of quantitative and qualitative analysis.
• Demonstrated ability to develop reporting methodologies to support organizational goals, mining data from disparate sources, and sophisticated database queries.
• Expert ability to articulate complex ideas clearly, accurately, and concisely.
• Ability to self-motivate and work well with and through others required.
• Ability to build strong working relationships and contribute to a positive work environment by serving as a collegial, helpful, and approachable partner within the team.
• Scrupulous attention to matters of discretion and confidentiality required.
• Ability to work on multiple projects simultaneously, set priorities, and meet short deadlines required.
• Working knowledge of complex data warehouses and data collection tools.
• Knowledge of higher education.

• Experience in database management and data warehouse building.
• Experience with SAS programming, statistical software, modeling techniques, business intelligence tools, and data visualization software.
• Experience in the application of research techniques, methodology, statistical analysis, and interpretation.
• Experience leading and conducting research and data analytical projects.
• Experience with data visualization and business intelligence tools.
• Experience with project management.
• Experience with supervision

• Experience with R, Python, Machine Learning techniques and usage.
• Analytical experience across regression analysis, segmentation, predictive modeling, multivariate testing, and performance analysis.
• Experience with visualization tools (e.g., Power BI, Tableau).
• Experience working in a complex academic organization.
• Experience with public speaking.
• Experience working with key stakeholders providing business analysis to drive performance.

The selected candidate’s offer is contingent upon the successful completion of a criminal background investigation, which may include: fingerprint checks, local agency checks, employment verification, verification of education, credit checks (relevant to employment). Additionally, selected candidates may be required to complete the Commonwealth’s Statement of Economic Interest. For more information, please follow this link:  http://ethics.dls.virginia.gov/

The Virginia Community College System, an EEO employer, welcomes applications from people of all backgrounds and recognizes the benefits of a diverse workforce. Therefore, the VCCS is committed to providing a work environment free of discrimination and harassment. Employment decisions are based on business needs, job requirements and individual qualifications. We prohibit discrimination and harassment on the basis of race, color, religion, sex, national origin, age, sexual orientation, mental or physical disabilities, political affiliation, veteran status, gender identity, or other non-merit factors.

The VCCS is an EOE and Affirmative Action Employer. In compliance with the Americans with Disabilities Acts (ADA and ADAAA), VCCS will provide, if requested, reasonable accommodation to applicants in need of access to the application, interviewing and selection processes.

VCCS uses E-Verify to check employee eligibility to work in the United States. You will be required to complete an I-9 form and provide documentation of your identity for employment purposes.