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Stride

Online and blended education solutions provider

Data Science Specialist

Internal Audit & ControlsUpdated on Nov 12
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree in Accounting, Finance, Data Analytics, Information Systems, Computer Science, Business, or a related field is required.
  • Five years of experience in external audit, Internal Audit, SOX, risk advisory, compliance testing, or another assurance function is required.
  • Demonstrated understanding of internal controls, audit methodology, control testing, evidence evaluation, and audit documentation is required.
  • Experience using data analytics to support audit, compliance, risk, SOX, or control testing is required.
  • Strong SQL and Python skills and experience querying and analyzing large or complex datasets are required.
  • Strong analytical and problem-solving skills to identify exceptions, trends, inconsistencies, and potential control issues are required.
  • Ability to translate audit or compliance requirements into data queries, testing procedures, and analytical routines is required.
  • Strong attention to detail and commitment to data accuracy are required.
  • Ability to clearly document methodology, assumptions, testing procedures, results, and supporting evidence is required.
  • Ability to manage multiple priorities and meet deadlines is required.
  • Effective written and verbal communication skills are required.
  • Ability to work collaboratively with technical and non-technical stakeholders is required.
  • Proficiency with Microsoft Office applications, including Outlook, Word, Excel, PowerPoint, Project, and Visio, and web proficiency are required.
  • Ability to clear the required background check is required.

Responsibilities

  • Apply data analytics to support Internal Audit, Compliance, SOX, operational reviews, and other assurance activities.
  • Translate audit and compliance objectives into data requirements, testing procedures, queries, and analytical routines.
  • Develop and execute data-driven testing procedures to evaluate transactions, populations, processes, and controls against defined requirements.
  • Analyze complete populations to identify trends, anomalies, exceptions, and potential control issues.
  • Perform data validation, reconciliation, and completeness and accuracy procedures.
  • Evaluate testing results and supporting evidence and document conclusions and exceptions.
  • Develop repeatable analytics for recurring testing and monitoring.
  • Identify opportunities to replace manual or sample-based testing with automated or population-based analytics.
  • Escalate significant or anomalous exceptions and data quality concerns appropriately.
  • Support Internal Audit and SOX engagements through data analysis, population development, control testing, and exception analysis.
  • Prepare and validate populations used for audit and control testing.
  • Test key reports, system-generated data, and other information used in controls.
  • Perform data-driven procedures to assess completeness, accuracy, validity, and consistency.
  • Support testing of key controls and management review controls through data analytics.
  • Develop automated testing routines for recurring SOX and audit procedures.
  • Prepare audit-ready workpapers and supporting documentation, including data sources, queries, filters, methodology, testing steps, and results.
  • Support Internal Audit and SOX teams in identifying opportunities to increase testing coverage and improve testing efficiency.
  • Support recurring compliance monitoring through data analysis, exception reporting, and automated testing.
  • Analyze access, user, and other privacy-related datasets in support of FERPA and applicable state requirements.
  • Develop and maintain monitoring routines to identify unusual activity, exceptions, or potential compliance issues.
  • Perform data testing against policies, procedures, regulatory requirements, and established controls.
  • Document monitoring procedures, results, exceptions, and supporting evidence.
  • Partner with Compliance and other stakeholders to investigate and resolve data-related questions and exceptions.
  • Perform analytics supporting the accuracy and completeness of district and state funding submissions.
  • Validate enrollment, attendance, demographic, and program participation data.
  • Analyze funding-related populations to identify anomalies, inconsistencies, and potential reporting issues.
  • Investigate data exceptions and discrepancies and support resolution with business and data teams.
  • Develop repeatable analytics and automated reports to strengthen funding compliance monitoring.
  • Maintain clear documentation and evidence supporting funding analyses and testing.
  • Write and maintain SQL queries and Python to extract, transform, validate, and analyze data from multiple sources.
  • Develop datasets and analytical routines that can be reused across audit and compliance activities.
  • Build dashboards, reports, and visualizations that communicate testing results and areas of risk.
  • Support automation of manual testing and monitoring processes.
  • Explore Python, AI, machine learning, and other emerging technologies to improve audit and compliance analytics.
  • Partner with Data Engineering, IT, GRC, and other technical teams to understand data sources, system functionality, and data limitations.
  • Maintain documentation of data sources, business rules, analytical logic, assumptions, and validation procedures.
  • Work closely with Internal Audit, Compliance, Funding, IT, Data Engineering, GRC, and business stakeholders.
  • Translate business, audit, and compliance questions into actionable analytical requirements.
  • Communicate analytical results and testing findings to technical and non-technical audiences.
  • Provide data and analytical support for audits, reviews, compliance assessments, and management reporting.
  • Develop working relationships across functions while maintaining appropriate independence and objectivity.
  • Escalate complex issues, significant exceptions, and data concerns to the Senior Manager, Data Analytics or the appropriate functional leader.

Desired Qualifications

  • Big 4 accounting or professional services firm experience in Audit, Risk Advisory, Technology Risk, SOX, Data & Analytics, or a related practice is preferred.
  • Experience performing SOX, ITGC, operational, financial, compliance, or technology-related testing is preferred.
  • Experience using analytics for population-based testing or to identify exceptions across large datasets is preferred.
  • Experience with Power BI, Tableau, or other data visualization tools is preferred.
  • Experience with SQL and Python or other scripting languages for data analysis and automation is preferred.
  • Experience with Snowflake, dbt, and GitHub is preferred.
  • Experience working with enterprise systems such as ERP, HRIS, SIS, LMS, CRM, or financial systems is preferred.
  • Familiarity with data governance, data quality, data lineage, access management, or privacy concepts is preferred.
  • Experience developing automated audit or compliance testing is preferred.
  • Familiarity with AI-enabled analytics or emerging technologies is preferred.
  • Experience in an education, government, regulated, or highly controlled environment is preferred.

About the Company

Stride

Online and blended education solutions provider

Stride offers online and blended education solutions for learners of all ages, providing full-time online schools, career-focused programs, and corporate training. Its products work by delivering personalized learning through technology-enabled teaching, with online curricula and blended formats that serve K-12 students, adult learners, and corporate clients. Revenue comes from tuition, state funding for public school partnerships, and corporate training programs. Stride differentiates itself through a clear emphasis on career readiness and personalized learning, a broad mix of learners, and a commitment to social responsibility and inclusivity integrated into curriculum design and operations. The company's goal is to help learners reach their full potential by expanding access to online and blended education and focusing on career learning.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Reston, VA
Founded
1999

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