Sr Analyst - Data Analytics

Maximus is in search of a Sr. Analyst – Data Analytics to help support our Federal Student Aid (FSA) portfolio, where you will play a critical role in transforming complex operational data into actionable insights that drive program performance and enhance customer outcomes. In this role, you will develop and deploy advanced analytical methods, create and implement KPIs, and leverage tools such as SQL and Python to work with large enterprise datasets. You will act as a trusted partner across multiple projects, guiding stakeholders on data usage, performance improvements, and solution maturity. This position also focuses on modernizing the data ecosystem through automation, scalable pipelines, and the integration of AI, machine learning, and advanced analytics to enable predictive insights and improve efficiency. You will collaborate cross-functionally to build reusable data products, support governance and data quality initiatives, and evaluate emerging technologies to advance analytics capabilities. This is an exciting opportunity to make a meaningful impact while supporting critical federal programs through innovative, data-driven solutions. This is a remote position. Essential Duties and Responsibilities: Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options. Analyze extracted data, identify trends and provide insights and analyses around operations and project data. Develop and implement new metrics, functions, and scripts as KPIsas needed. Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications. Create and maintain all documentation including obtaining and collecting artifacts as needed. Ad hoc tool development to support operational and under served analytical areas. Learning emerging technologies and systems of need for company initiatives. Activities to support team communication and strategy implementation (meetings, etc.). Project management activities. Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation. Understanding/familiarity with semantic layers/data architecture. Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities. Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation. Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks. Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs. Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data. Education and Experience: Bachelor's degree in related field. 5-7 years of relevant professional experience required. Equivalent combination of education and experience considered in lieu of degree. Additional Requirements as per contract/client: 2 years of experience coding (e.g., SQL, Python) required. Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required. General knowledge of scripting and programming is required. Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required. Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data privacy, or regulated data environments is required. High School Diploma or GED required Must reside in the U.S. Must be a U.S. citizen. Sponsorship is not permitted on this project Must be able to pass a federal criminal background check. Must not be delinquent or in default on any federal student loans. Employment and continued employment are contingent upon obtaining and maintaining a favorable clearance. Final suitability determination is the sole discretion of the Department of Education. Obtaining and Maintaining a PIV-I card is a requirement of this position. PIV-I cards must be picked up in person. New and existing employees may need to travel via car, train, or plane to a designated location to pick up their new or replacement PIV-I card. Any travel expenses will be paid for by Maximus. Cell phone with service is required to download an authenticator app to be used to log in to your work computer. Home Office Requirements: Hardwired internet (ethernet) connection Internet download speed of 25mbps or higher required (you can test this by going to Private work area and adequate power source EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process—including accessing job postings, completing assessments, or participating in interviews,—please contact People Operations at View email address on click.appcast.io . #J-18808-Ljbffr Maximus