Reporting to the Director, Reporting and Analytics, the Senior Data Analytics Consultant provides fundraising data analysis and reporting services for the executive leadership team of the Development arm of the Office of Advancement.
The Sr. Data Analytics Consultant will be primarily responsible for the development and implementation of measurement and analytics strategies designed to ensure appropriate operational models; to monitor and evaluate applicable metrics to compare and analyze data to support strategic fundraising decisions and process improvement; to ensure communication with senior leadership and synthesize data into useful and insightful information; and to write and automate tools and scripts to increase efficiency and reduce manual efforts.
The Sr. Data Analytics Consultant will design and build data visualizations using diverse data sets and will be instrumental in developing and translating analysis, data modeling and ad hoc decision support to fulfill the needs of the development organization. This includes data analysis and reporting to enhance operational efficiency, encouraging data driven decisions and promoting a higher level of data consumption as well as best practices to improve services and processes of strategic importance to the Development team.
Provides significant data analysis using both descriptive and predictive statistical analysis expertise for the Development leadership team. This work includes, but is not limited to, responsibility for the ongoing design and maintenance of monthly Development performance reports and the fundraising dashboard. It further includes conducting significant data analysis and data mining required to understand the results found and communication of insights to leadership.
This work is accomplished using visual query tools, custom built standard outputs, Microsoft SQL Reporting Services tools, data analysis tools like SPSS or Excel and Tableau.
The Senior Data Analytics Consultant must have excellent verbal and written communication skills, including excellent customer relationship skill sets with the ability to communicate technical concepts in non-technical business terms, be able to work both independently and as part of a team, have the ability to balance competing priorities, manage multiple concurrent projects, identify problems and anticipate needs, resolve data problems, create and maintain documentation for processes, exceptions, and decision making criteria for projects and ongoing processes and is expected to exhibit strong written and verbal communication skills and behaviors associated with the Office of Advancement’s core competencies: Leadership, Continuous Improvement, Teamwork and Collaboration, and Communication/Interpersonal Effectiveness.
Bachelor’s degree in Data Analytics, Statistics, Applied Math, Computer Science, Computer Information Systems or Management Information Systems, Marketing, Psychology or related field, or an equivalent combination of education and experience; five years of experience in a data analyst role; experience with enterprise reporting tools; three years of experience using SQL with preference to Microsoft T-SQL; five years of experience using Microsoft’s business intelligence suite or something comparable; two years of experience conducting forecasting models; three years of experience with statistical analysis using statistical packages for analyzing datasets (Excel, SPSS, R, SAS etc.); three years of experience visualizing and presenting data for stakeholders using advanced data visualization tools like Tableau, D3 or ggplot, etc.; two years of experience building dashboards.
Master’s degree in Statistics, Business, Computer Science, Economics, Engineering, Mathematics or other quantitative disciplines; experience in the non-profit fundraising space; familiarity with statistical algorithms such as linear and logistic regression, decision trees, neural networks, etc.; two years of project management/consulting experience; experience working in an Agile SCRUM environment.