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Seneca Holdings · 19 hours ago

Data Analyst (Architecture)

Washington, DC

Full-time

Onsite

Senior Level

7+ years exp

Seneca Holdings is part of the Seneca Nation Group, focusing on federal government contracting. The Data Analyst (Architecture) role involves providing business analyst support services for data quality and monitoring, enhancing data integrations, and ensuring compliance with data access.

BankingFinancial ServicesFinTechInsurance

No H1B

U.S. Citizen Only

Responsibilities

Responsible for the correct and proper fulfillment of production and ad hoc analytics and reporting requirements

Oversees query writing staff, data science support staff, and contracting staff engaged in supporting FSA statistical model development and implementation

Ensures data used by an organization is accurate, consistent, and complete

Define data terminology by creating data dictionaries

Monitor data quality to ensure consistency

Reviews data sets, analyzes trends, and addresses any issues promptly

Create reports detailing data quality issues and resolutions for senior management

Recommend changes to enhance data storage efficiency and accuracy

Analyze test results to ensure data implementation aligns with program intents, objectives, and stated requirements

Review outstanding Data Quality JIRA/ACERS tickets and develop recommendations for remediation of identified issues

Evaluate current data edits and controls and provide recommendations to enhance data quality, including changes to data provider instructions and procedures

Create comprehensive dashboards, detailed reports, and narratives on data quality

Review and recommend requirements for refining and/or creating data models supporting FSA's operational needs, aligning them with federal government standards

Recommend best practices in data management, maintain comprehensive documentation, and ensure data integrity, security, and usability

Perform data reviews in FSA systems, identify discrepancies, and resolve them promptly

Implement data quality standards and metrics, generate reports on data quality, and provide training to FSA staff on data review processes and best practices

Qualification

SQLPythonData modelingCloud platformsData architectureData analysisProcess modelingStakeholder managementCritical thinkingProblem-solvingCommunication

Required

Bachelor's degree in Business, IT, Finance, or related field

U.S. citizens with High-Risk Public Trust

7+ years in data engineering, analytics, or architecture, with proven leadership

Experience with SQL, Python, data modeling (dimensional, Data Vault), and cloud platform (AWS/Azure/GCP) skills, with deep experience in designing data warehouses/lakes, ETL/ELT, and streaming data

Highly skilled individual who can quickly understand the NSLDS data model and the intricacies of NSLDS's collaboration with other FSA and Federal Loan Servicer systems for complicated business and program processes

Knowledge of Federal Student Aid business areas to include, but not limited to, Federal Loan Servicing data, repayment plans, Gainful Employment regulations and other accountability metrics, and more

Knowledge of or ability to quickly understand business processes and integrations across FSA systems to accomplish a business goal; for example, Income Driven Repayment and SAVE processes as documented across multiple systems including NSLDS, Common Origination and Disbursement (COD) system, Federal Loan Servicers (FLS), Federal Tax Information Model (FTIM) systems, and more

Experience with translating complex business needs into robust data architecture and system requirements

Experience with designing, building, and managing enterprise data models, pipelines, and platforms

Analytical Experience with data analysis, critical thinking, problem-solving, process modeling

Excellent written/verbal skills, translating technical info, stakeholder management