Drevol LLC

Drevol LLC

Data Analyst or Data Scientist.

Washington, District of Columbia, USA · contract, third party

No sponsorshipDetected 153 days ago
Data StructuresSQLData AnalysisData EngineeringData ScienceStatisticsCybersecurityAgileProcess Improvement

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

87% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 12 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: LOWE'S · Department of VA · VanguardFiles as an H-1B dependent employer.

Files H-1B transfers

19 transfer filings in the last year, covering 19 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Responsibilities Be available on Government site in Washington, DC during normal hours of operation. Analyze large and complex datasets to identify trends, gaps, anomalies, integrity issues, and structural risks affecting reporting, analytics, and operational processes. Design data architecture approaches, integration strategies, and analytical frameworks
  • that support current and emerging enterprise priorities across business lines. Assess new and existing data sources to determine structure, quality, completeness, relationships, and suitability for operational and analytical use. Define and refine conceptual, logical, and physical data models that support enterprise reporting, automation, and

Nice to have

  • Be available on Government site in Washington, DC during normal hours of operation.
  • Analyze large and complex datasets to identify trends, gaps, anomalies, integrity issues, and structural risks affecting reporting, analytics, and operational processes.
  • Assess new and existing data sources to determine structure, quality, completeness, relationships, and suitability for operational and analytical use.
  • Contribute to minimum viable product planning and incremental enhancement of data and analytical capabilities over multiple sprint cycles.
  • Provide technical recommendations regarding solution architecture, task sequencing, ROM estimates, risks, dependencies, alternatives, and opportunities for improved efficiency or reuse.
  • Support multiple business lines and enterprise priorities as required.
  • Other responsibilities as assigned.
  • Requirements Master s degree in Computer Science, Information Systems, Data Science, Data Analytics, Mathematics, Statistics, Engineering, or other technical discipline.

Visa & Work Authorization

  • Must be authorized to work for any employer in the U
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This listing is sourced directly from Drevol LLC's careers page and normalized into a canonical job model.