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Federal Student Aid an Office of the U.S. Department of Education · 2 days ago

Statistician (Data Analyst), GS-1530-13/14, (FPL 14) (DE)

Washington, DC

Full-time

Onsite

Mid, Senior Level

1+ years exp

The U.S. Department of Education's Office of Federal Student Aid is responsible for administering federal financial aid programs. The Statistician (Data Analyst) role involves designing and managing complex statistical data series, identifying trends, producing reports, and leading statistical analyses to evaluate the impact of program plans and policies.

AssociationEducationFinancial ServicesGovernmentNon Profit

No H1B

U.S. Citizen Only

Responsibilities

Designing and managing one or more complex statistical data series or major components of a large-scale data series

Identifying trends and potential risks within the portfolio of student aid. Creating proactive and predictive models, developing analytical products such as business intelligence and dashboards, using programming platforms

Producing reports, white papers, and other briefing materials summarizing complex statistical analysis

Planning and preparing quantitative and qualitative analysis of data

Utilizing major statistical tools and techniques - structured query language, regression, and other modeling concepts - on large and unstructured data files

Leading, conceptualizing, planning, implementing, managing, and evaluating complex statistical analyses on the impact of current or proposed program plans, policies, operations, legislation and regulations on budgets, activities, and outcomes for students

Directing operational analyses using mathematical and applied statistics and probability theory to develop new techniques and methodologies, ensuring analysis activities are statistically valid, comply with agency policies, and meet all administrative requirements

Applying a variety of complex mathematical and statistical theories and techniques, including original techniques and methodologies, and specialized analyses to evaluate, design, and execute statistical sampling plans and analytical procedures

Serving as an authority in statistical methodology and operational data sources, leads the application of analytical techniques to include defining objectives and guiding audit teams in development of an analysis plan, often where no precedent exists

Reviewing and approving the presentation of statistical and non-statistical sampling methods and results, and application of advanced analytics in agency draft and final audit reports prior to publication of the reports

Qualification

Statistical analysisAWS servicesMachine learning techniquesData validationPythonSQLStatistical modelingCommunication skillsProblem-solvingProject management

Required

Must be a US Citizen

Must Complete a Background Investigation and Fingerprint check

One year of experience in either federal or non-federal service that is equivalent to at least a GS-12 performing two (2) out of three (3) of the following duties or work assignments: Experience independently designing and maintaining cloud-based data workflows or architectures utilizing AWS services (Glue, Lambda, Redshift, or Sage Maker Suite) to build scalable, automated solutions for data processing and analysis

Experience utilizing tools and machine learning techniques to proactively monitor, detect, enhance and/or resolve data anomalies, quality, validation processes, and inconsistencies within a large dataset to ensure the integrity and accuracy of data

Experience independently implementing robust data validation, quality assurance, or monitoring processes within data pipelines or analytical workflows, utilizing Python, SQL, or specialized tools to ensure reliability, completeness, and accuracy of data

Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc

Knowledge of advanced mathematical and statistical theory, principles, concepts, and current professional developments

Ability to use coding and programming platforms to develop dashboards and other analytical products

Ability to clearly communicate statistical and analytical information to varied audiences

Ability to apply statistical and other modeling concepts, techniques, and evaluation methods to data

Skill in testing, evaluating, and validating emerging statistical theories, principles, concepts, and methodologies for large, complex, multidisciplinary statistical analyses

Preferred

Experience in implementing and enforcing an organization-wide data quality framework and governance standards across cloud-based workflows, such as designing, building, and deploying automated data validation, monitoring, and alerting systems within AWS environments

Experience in designing and implementing data quality frameworks, validation systems and machine learning operation patterns for continuous model deployment and monitoring, resulting in improved data integrity across business domains

Experience defining best practices and tools for data validation, monitoring, compliance, and driving improvements through advanced automation techniques utilizing Python/SQL, while ensuring data reliability, security, and compliance with AWS services (Glue, Lambda, Redshift, or Sage Maker Suite)

Knowledge of statistical principles and methodologies, proficiency in the application of technology to research, provide insightful analysis and recommendations influencing policy and operational improvements

Knowledge in statistical analysis, independent planning, execution of major research projects, interpreting and applying findings to key policy initiatives, proposed legislation, or regulations

Knowledge of statistical methods, interpreting and applying complex guidelines, developing and optimizing statistical techniques within the organization and among partner entities

Ability to solve complex problems and manage FSA-specific program management and budget issues

Ability to manage and evaluate statistical activities and provide technical advice to develop methodologies aligning with FSA goals and impact to student financial assistance programs