We are looking for a Data Analyst to support a nonprofit organization in Battle Creek, Michigan by turning raw information into clear, meaningful insights. This role focuses on producing accurate reports and visual summaries that help teams understand demographic trends, measure outcomes, and make informed decisions. The ideal candidate will be skilled at spotting inconsistencies, improving data quality, and helping strengthen confidence in how data is used across the organization.<br><br>Responsibilities:<br>• Analyze organizational data to develop reports, dashboards, and visual presentations that highlight demographic patterns and program results.<br>• Review datasets for irregularities, missing information, or trends that may signal reporting concerns or potential fraud-related issues.<br>• Monitor how data tools and processes are being used across teams and follow up on gaps to support stronger adoption and issue resolution.<br>• Gather information from multiple sources, organize it into usable formats, and prepare it for analysis and reporting.<br>• Clean, validate, and reconcile data to improve accuracy, consistency, and reliability in reporting outputs.<br>• Create charts, graphs, and summary materials that translate complex findings into accessible information for stakeholders.<br>• Investigate data discrepancies and recommend practical corrections to reduce errors and strengthen reporting integrity.<br>• Maintain documentation of data definitions, reporting methods, and quality checks to support consistent analysis practices.

• Experience in data analysis, data reporting, and report development in a detail-oriented environment.<br>• Ability to collect, extract, clean, validate, and process data from varied sources with strong attention to detail.<br>• Proficiency in creating charts, graphs, and other visual tools that clearly communicate findings.<br>• Knowledge of identifying anomalies, investigating inconsistencies, and recognizing indicators of fraud risk.<br>• Familiarity with data quality management, including data cleansing, abstraction, and reconciliation methods.<br>• Strong analytical thinking and problem-solving skills with the ability to turn findings into actionable recommendations.<br>• Effective communication skills for presenting results and collaborating with team members across the organization.

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