The University of Iowa Center for Advancement (UICA), a non-profit organization that aims to enhance the University of Iowa through engagement and philanthropy, seeks a Data Analyst (Level II) to be a part of the Constituent Insights & Analytics team. This position will be responsible for overseeing the collection, storage and interpretation of both internal and external data to drive philanthropic business results. Team member will work with key stakeholders to identify business requirements and expected outcomes and help design statistical models to help inform our work. This position will be working alongside other analysts and across business units in identifying solutions to client models, and frame business scenarios that will have a meaningful impact on critical business processes across the foundation.

*Position allows for significant telecommuting/work from home (up to 5 days per week depending upon business need and leader approval). Candidate must be within driving distance of office located in Iowa City, IA.*

Our Data Analyst will partner with clients and subject matter experts across the organization to determine how data may be collected, analyzed, and used to drive inform organizational decisions and drive critical business processes and outcomes. This individual will develop innovative and effective approaches to address business needs by applying advanced statistical and predictive modeling techniques to build, maintain and improve upon real-time decision making.

• Business Requirements: Leads discovery process with stakeholders to identify business requirements and expected outcome; suggests other solutions of interest to the client; models and frames business scenarios that are meaningful and have impact on critical business processes and decisions

• Data Requirements: Identifies what data is available and relevant, including internal and external data sources; leverages new data collection processes and geo-spatial and social media data; collaborates with subject matter experts to select relevant sources of information; makes strategic recommendations on data collection, integration, and retention, incorporating business requirements and knowledge of best practices

• Analysis: Develops innovative and effective approaches to solve stakeholders data driven projects and communicates results and methodologies; works in iterative processes with the client and validates findings; develops experimental design approaches to validate findings and test hypotheses; validates analyses using scenario modeling; identifies/creates appropriate algorithms to discover patterns

• Communications: Presents and depicts complex findings and rationale in understandable terms for the business; presents back results that contradict common belief, if needed; communicates and works with business subject matter experts

• Change Advocacy: Educates the organization on new approaches, such as testing hypotheses and statistical validation of results; helps the organization understand the principles and details

Educates the organization on new approaches, such as testing hypotheses and statistical validation of results

Education & Experience:

• Bachelors degree and 2-4 years experience or combination of relevant education and experience

• Experience in:

o Supporting business objectives through data-driven insights and providing critical value to stakeholders for decision-making and solution development

o Working across and collaborating with multidisciplinary teams to understand needs, objectives, and requirements

o Implementing data standards and deploying automation tools to extract, synthesize, and validate data from different sources and transform data into usable metrics.

o Constructing data sets, monitoring data quality, troubleshooting and resolving database issues to ensure data integrity.

o Creating forecast models for both internal and external projects.

o Translating and presenting complex data solutions to a broad audience.

o Proficiently working with tools like Python, R or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards.

o Proven history of demonstrating strong teamwork, interpersonal and critical thinking skills.