Data Analyst#26-24091 Columbus, IN Onsite Job Description Data Analyst Candidate must be local as this is a hybrid position. The rest of the team is hybrid and manager will discuss the schedule with candidates upon interview. Role Overview We are seeking a Data Analyst to support reporting, data management, platform transition, and operational efficiency initiatives. This role will help improve the reliability, usability, and scalability of data and reporting across philanthropy-related systems and business processes including employee volunteering, corporate giving, and employee donations. The contractor will work with business stakeholders, regional teams, platform owners, and analytics teams to support data-driven decision-making and improve existing reporting and data workflows. Key Responsibilities Support the United Way active campaign operational tasks including data organization, validation, processing, collaborate with vendor and internal teams, generate reports for funds disbursement and matching program Support transition and migration of employee donations program into third party application, including historical data validation and analysis Support initiatives to reduce manual Excel-based processes and improve data automation Manage Power BI for reporting development, updates, enhancements, and stakeholder requests Support master data improvements, including collaboration with IT, regional teams and integration with existing data models Assist with data governance and access management for reporting models and data lake assets Required Skills & Experience Strong Power BI and data modeling experience Working knowledge of SQL, data integration, and reporting processes Experience supporting data quality, governance, or master data initiatives Strong communication and stakeholder management skills Ability to work independently and manage multiple priorities Preferred Qualifications Experience with philanthropy, giving, pledging, or grants-related platforms Familiarity with HR data, enterprise data lakes, or cloud-based data environments Experience working with cross-functional or global teams Success Measures Reliable and timely reporting updates Improved data quality and consistency Successful support of third-party transition activities Reduced reliance on manual reporting processes Strong stakeholder collaboration and issue resolution

EEO:

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."