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Remote Internal Audit Data Analytics Jobs in Washington

@Orchard

Lead Data Analytics Engineer

Washington, DC · Remote

$160K - $230K/yr

Lead Data Analytics Engineer Remote/Work from Home within the United States Must be a U.S. Citizen with an active or interim Secret Clearance. @Orchard LLC has an immediate need for a Lead Analytics ...

Addison Group

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Senior Data Analyst Location: Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 ... Works across departmental areas to create formal specifications for both internal and external ...

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Remote Internal Audit Data Analytics information

What is a remote internal audit data analytics professional?

A Remote Internal Audit Data Analytics professional is someone who uses data analysis techniques and tools to support internal audit processes while working from a remote location. Their responsibilities include analyzing large volumes of data to identify risks, inefficiencies, or irregularities within an organization's operations and controls. These professionals help auditors make data-driven decisions, improve audit quality, and provide actionable insights to management. They typically have strong analytical skills and are proficient in data analytics software and audit methodologies.

What is the difference between Remote Internal Audit Data Analytics vs Remote Internal Auditor?

AspectRemote Internal Audit Data AnalyticsRemote Internal Auditor
CertificationsCPA, CIA, CISACPA, CIA, CISA
Work EnvironmentData analysis, audit testing, analytics toolsAudit planning, fieldwork, reporting
Industry UsageFinancial, healthcare, governmentFinancial, corporate, government
Primary FocusData analysis and automationAudit procedures and compliance

Remote Internal Audit Data Analytics focuses on analyzing data to identify risks and improve audit efficiency, often using advanced analytics tools. Remote Internal Auditor performs traditional audit tasks, including fieldwork and compliance checks. Both roles require similar certifications but differ in daily activities and focus areas, with analytics roles emphasizing data-driven insights.

How does a remote internal audit data analytics professional typically collaborate with audit teams and stakeholders across different locations?

As a Remote Internal Audit Data Analytics professional, you will regularly collaborate with both on-site and remote audit teams through virtual meetings, shared dashboards, and secure data platforms. Effective communication is crucial, as you'll often translate complex data findings into actionable insights for auditors, management, and other stakeholders. Leveraging collaborative tools and clear documentation helps ensure alignment and timely feedback despite geographic distances. Building strong virtual relationships and proactively sharing analytical results are key to supporting audit objectives and maintaining transparency.

What are the key skills and qualifications needed to thrive as a remote internal audit data analytics professional?

To thrive as a Remote Internal Audit Data Analytics professional, you need strong analytical skills, knowledge of auditing principles, and proficiency in data analysis, typically supported by a degree in accounting, finance, or a related field. Familiarity with tools such as ACL, IDEA, SQL, Excel, and ERP systems, as well as relevant certifications like CPA, CIA, or CISA, is often required. Attention to detail, problem-solving, and effective communication are essential soft skills for interpreting data insights and collaborating remotely with audit teams. These abilities are crucial for identifying risks, ensuring compliance, and enhancing audit quality in a remote work environment.
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Remote Internal Audit Data Analytics jobs near you

Senior Data Scientist (NLP and Unstructured Data Analytics)

Node.Digital

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Senior Data Scientist (NLP and Unstructured Data Analytics)

Location: Herndon, VA (Remote Work)

Must have a Public Trust Clearance

KEY RESPONSIBILITIES

  • Integrate and scale natural language processing methods to parse, clean, and analyze large corpora of unstructured and semi structured text, using optical character recognition, semantic similarity algorithms, and large language models as needed.
  • Design, develop, test, calibrate, and implement statistical and machine learning models targeting financial fraud, improper payments, and non compliance within SBA programs.
  • Build and refine supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches.
  • Review, maintain, and support all existing loan fraud indicators developed by TSD.
  • Perform data quality analysis on source tables and develop repeatable processes for combining and analyzing large data sources.
  • Collaborate directly with criminal investigators to determine and execute analytic strategies supporting loan fraud cases, and adhere closely to the federal rules of criminal procedure governing protected information, including Rule 6(e).
  • Develop case leads for SBA OIG investigations from model outcomes.
  • Document all methodology, test models, and production models in a form that satisfies criminal evidentiary requirements.
  • Build visualizations and dashboards conveying methodological choices, outcomes, and predictive capability, iterated on end user feedback.
  • Deliver findings in multiple registers: data summaries and visualizations for investigative staff, executive summaries for OIG leadership.
  • Coordinate with the data engineering seat so the architecture supports machine learning and text processing pipelines efficiently.
  • Create programming and automation techniques using SharePoint, Python, Excel, Power BI, Power Apps, and similar tools.
  • Identify new business questions that expand the scope of analysis and reporting.

Requirements

Required

Education

Master's, Ph.D., or doctorate level equivalent degree in data science, machine learning, computer science, mathematics, or a related field. Alternatively, ten years of applied work experience in any of the same fields.

  • 5+ yearsDesigning, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
  • 5+ yearsDeveloping analytic rules and models using leading edge analytic tools and best practices.
  • 5+ yearsDeveloping regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
  • 3+ yearsProviding data support for criminal investigations into financial fraud or abuse of government funds.
  • 3+ yearsManipulating data in Python. Pandas is required.
  • 3+ yearsWorking in a modern cloud environment: Azure, AWS, or GCP. Certifications preferred.
  • 2+ yearsConducting advanced data analysis in SQL, specifically SQL Server and PostgreSQL.
  • 2+ yearsDeveloping and scaling natural language processing solutions.
  • 2+ yearsPresenting methods and findings to technical and non technical stakeholders, both orally and in written products and visualizations.

PREFERRED QUALIFICATIONS

  • Production experience with named entity recognition and entity resolution across messy document corpora.
  • Retrieval augmented generation, vector stores, embeddings, and semantic search at scale.
  • Large language model integration under federal security constraints, including boundary controlled deployment and prompt versioning.
  • Optical character recognition pipelines applied to scanned or low quality source documents.
  • Topic modeling, document classification, or clustering applied to audit, legal, or investigative text.
  • Cloud certification in Azure, AWS, or GCP.

Benefits

We are proud to offer competitive compensation and benefits packages to include

  • Medical 
  • Dental
  • Vision
  • Basic Life 
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training

Apply