Under the direct supervision of the Program Manager, Data, the Data Analyst (DA) supports Fortune Society's RISE, Education and Employment Services programs through evaluation and reporting of data related to service delivery and outcomes. The position involves identifying and determining data points for collection, working with IT and Evaluation and Quality Improvement (EQI) staff to insure data collection points are available within our internal database, conducting quality assurance exercise to ensure accurate data collection is occurring with program staff, entering data into funder databases, submitting reporting to external funders, generating routine and ad-hoc reports that supports the program by monitoring activities, contract performance and program milestones. Mission and Fit The DA must embody the values and mission of the Fortune Society. This includes meeting our participants where they are, demonstrating our values through compassion and understanding; and affirming that none of us should be measured against the worst things we have done. Attention to Detail The DA must demonstrate competency to develop systems and processes to organize and keep track of information or work progress; is routinely conscientious, thorough, accurate and reliable when performing and completing job tasks; and recognizes trends, detects inconsistencies, and determines essential details. Collaboration The DA should be comfortable collaborating with staff at all levels (senior staff and peers) within the RISE, Education and Employment Services and other department areas to understand complex problems and create solutions. The DA will be asked for input on department projects, so they should be comfortable contributing constructive feedback and be a team player in supporting the team in completing projects. The DA should be comfortable leading group conversations and facilitating meetings. The DA should be in command of critical issues, impacting both the assigned contracts and data needs of the department. The DA should be able to prioritize effectively as new projects come up and communicate project progress routinely. Systems Thinking The DA should possess an ability to do systems thinking and solve problems in a way that is creative and collaborative. Data collection, analysis, and Excel expertise The DA needs to have experience using Excel for data analysis. They should understand basic Excel formulas and functions, PivotTables, charts, and graphs. The DA should also have familiarity with using client databases for data entry and reporting. The DA should have a foundational understanding of quantitative and qualitative methods and possess an ability to do "big picture" thinking and solve problems in a way that is creative and collaborative.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
Number of Employees
251-500 employees