Data Science Specialist

• 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 clearly document conclusions and exceptions.
• Develop repeatable analytics that can be used for recurring testing and monitoring.
• Identify opportunities to replace manual or sample-based testing with automated or population-based analytics.
• Escalate significant or anomaly 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 clearly communicate testing results and areas of risk.
• Support automation of manual testing and monitoring processes.
• Explore the use of 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 clearly to both technical and non-technical audiences.
• Provide data and analytical support for audits, reviews, compliance assessments, and management reporting.
• Develop strong 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 appropriate functional leader.

Supervisory

• Bachelor's degree in Accounting, Finance, Data Analytics, Information Systems, Computer Science, Business, or a related field.
• Five (5) years of experience in external audit, Internal Audit, SOX, risk advisory, compliance testing, or another assurance function.
• Demonstrated understanding of internal controls, audit methodology, control testing, evidence evaluation, and audit documentation.
• Experience using data analytics to support audit, compliance, risk, SOX, or control testing.
• Strong SQL and Python skills and experience querying and analyzing large or complex datasets.
• Strong analytical and problem-solving skills, with the ability to identify exceptions, trends, inconsistencies, and potential control issues.
• Ability to translate audit or compliance requirements into data queries, testing procedures, and analytical routines.
• Strong attention to detail and commitment to data accuracy.
• Ability to clearly document methodology, assumptions, testing procedures, results, and supporting evidence
• Ability to manage multiple priorities and meet deadlines.
• Effective written and verbal communication skills.
• Ability to work collaboratively with both technical and non-technical stakeholders.
• Microsoft Office (Outlook, Word, Excel, PowerPoint, Project, Visio, etc.); Web proficiency.
• Ability to clear required background check

Certificates and Licenses: None required.

Regular

The above job is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. All employment is “at-will” as governed by the law of the state where the employee works. It is further understood that the “at-will” nature of employment is one aspect of employment that cannot be changed except in writing and signed by an authorized officer.

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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

Stride, Inc. is an equal opportunity employer. Applicants receive consideration for employment based on merit without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or any other basis prohibited by federal, state, or local law. Stride, Inc. complies with all legally required affirmative action obligations. Applicants will not be discriminated against because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.