Universal Technologies is hiring: Data Analyst - Project / Remote in New York

UNIVERSAL Technologies is seeking a mission-driven Data Analyst for an onsite role in Long Island City, NY for the first 90 days, position could turn to hybrid. The Data Analyst will be responsible for transforming raw data into meaningful insights using SQL and Python, developing dashboards and reports using Power BI and or Tableau, and supporting data-driven decision-making for stakeholders. UNIVERSAL Technologies is a Women-Owned (M/WBE) IT consulting and staffing firm providing innovative technology solutions to government and enterprise clients. We specialize in delivering high-quality talent and services across data analytics, application development, infrastructure, cybersecurity, and project management. Exposure to enterprise-scale data analytics and reporting solutions • Professional growth and skill development opportunities Minimum of 1 year of functional or data analyst experience • Strong analytical skills including data cleaning, analysis, and visualization • Experience creating and maintaining reports, dashboards, and ad-hoc analyses • Proficiency with Microsoft Office Suite, including advanced spreadsheet usage • Experience with data visualization and reporting tools such as Power BI and/or Tableau • Familiarity with data warehouses, ETL tools, and/or other data storage solutions • Understanding of business processes and translating end-user needs into actionable data • Ability to conduct business analysis and research to identify key metrics and improvement opportunities • Strong problem-solving skills with a logical, structured approach to analysis • Bachelor’s degree (completed or in progress) in Business Administration, Computer Science, Computer Technology, Computer Programming & Software Development, Statistics, Mathematics, Engineering, or a related field • Experience with Python and/or SQL • Demonstrated knowledge of digital and analytical tools through certificates and/or certifications (preferred but acceptable as experience-based knowledge) Collaborate with cross-functional teams and data sources to collect and validate data • Develop, maintain, and enhance dashboards, reports, and data visualizations • Perform ad-hoc analyses to support operational and strategic decision-making • Support senior or lead analysts in delivering data-driven solutions to stakeholders • Identify trends, key metrics, and opportunities for process and performance improvements • Develop documentation and provide end-user training related to data processes, reports, and metrics • Ensure data accuracy, consistency, and usability across reporting outputs