Job Description SUMMARY: The Manager of Data Analytics leads a team supporting Compliance, Funding Compliance, and Internal Audit through high-quality analytics, automation, and data-driven insights. This role ensures that data used in compliance monitoring, funding submissions, operational audits, and SOX testing is accurate, complete, well-documented, and audit-ready. The ideal candidate is a hands-on leader who is forward-thinking, technically strong, and committed to building scalable, automated, and AI-enabled analytics solutions. ESSENTIAL FUNCTIONS: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. Team Leadership & Development - Lead, mentor, and develop a team of data analytics analysts. - Set standards for documentation, auditability, data lineage, and evidence retention. - Prioritize work across Compliance, Funding, and Internal Audit to ensure timely, high-quality results. Analytics Strategy & Execution - Oversee development of automated reports, dashboards, and analyses supporting compliance, funding accuracy, and audit/SOX needs. - Review complex analytics for accuracy, completeness, and audit readiness. - Drive implementation of automation, continuous monitoring, and AI-driven analytics. Funding Compliance Oversight - Lead deep-dive analytics that validate enrollment, attendance, and other data submitted for district and state funding. - Ensure funding data reconciliations and validations are accurate, documented, and reproducible. - Implement automated exception reporting and anomaly detection to reduce errors. Compliance, Privacy & Audit Support - Support operational and privacy compliance through automated validations and monitoring routines. - Guide the development of analytics for internal audits, risk assessments, and SOX testing. - Oversee population completeness testing, key report validation, and automated audit routines. Cross-Functional Partnership - Collaborate with IT, Data Engineering, School Operations, Funding, Security/GRC, and Internal Audit leadership. - Translate business questions into clear analytical requirements and communicate results effectively. - Present insights to senior leaders, highlighting risks, trends, and opportunities for automation. Supervisory Responsibilities: Directly supervises 1 - 5 Full-time Equivalent (FTE) regular employees and/or contractors. Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems. MINIMUM REQUIRED QUALIFICATIONS: - Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Business, or related field. - 5+ years of experience in analytics, with experience leading or mentoring others. - Proficiency in SQL, Python, R, or similar tools. - Experience with data visualization tools (Power BI, Tableau, etc.). - Strong understanding of documentation, auditability, evidence standards, and data quality. - Excellent communication and stakeholder management skills. - Ability to clear required background check Certificates and Licenses: None required. DESIRED QUALIFICATIONS: - Experience in compliance, funding, privacy, SOX, or internal audit environments. - Familiarity with enterprise data systems (ERP, HRIS, SIS, LMS). - Experience with automation tools or AI/ML analytics. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - This position is virtual and open to residents of the 50 states, D.C. COMPENSATION & BENEFITS: Stride, Inc. considers a person’s education, experience, and qualifications, as well as the position’s work location, expected quality and quantity of work, required travel (if any), external market and internal value when determining a new employee’s salary level. Salaries will differ based on these factors, the position’s level and expected contribution, and the employee’s benefits elections. Offers will typically be in the bottom half of the range. We anticipate the salary range to be $ 114,116.00 and $182,586.00 Eligible employees may receive a bonus. This salary is not guaranteed, as an individual’s compensation can vary based on several factors. These factors include, but are not limited to, geographic location, experience, training, education, and local market conditions. Stride offers a robust benefits package for eligible employees that can include health benefits, retirement contributions, and paid time off. Job Type 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. If you are a job seeker with a disability and require a reasonable accommodation to apply for one of our jobs, you can request the appropriate accommodation by contacting stridecareers@k12.com. 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.

• Support the building, maintenance, and monitoring of data pipelines (batch and, occasionally, streaming) • Assist in organizing and modeling data for Data Lakes and Data Warehouses • Support the implementation of solutions using tools such as Databricks and Apache Spark • Perform data analyses, ensuring data quality, consistency, and integrity • Collaborate with Data Science, Analytics, and Software Engineering teams • Assist in documenting processes, data flows, and technical routines • Monitor data loads and identify potential failures or opportunities for improvement • Participate in agile ceremonies and technical discussions with the team • Follow best practices for data governance, security, and data organization.

Title: Senior Data Analyst Job Description: Your future role at a glance Location: Tulsa, OK, and Wichita, KS | Hybrid Department/Specialty: Ascension Data Science Institute Schedule: Full Time, Days Salary: $87,463.20 - $121,918.37 per year #ADSI #LI-Remote #internalops Life at Ascension: Where purpose meets opportunity Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 99,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you'll find an inclusive and supportive environment where your contributions truly matter. Benefits that help you thrive - Comprehensive health coverage: medical, dental, vision, prescription coverage and HSA/FSA options - Financial security & retirement: employer-matched 403(b), planning and hardship resources, disability and life insurance - Time to recharge: pro-rated paid time off (PTO) and holidays - Career growth: Ascension-paid tuition (Vocare), reimbursement, ongoing professional development and online learning - Emotional well-being: Employee Assistance Program, counseling and peer support, spiritual care and stress management resources - Family support: parental leave, adoption assistance and family benefits - Other benefits: optional legal and pet insurance, transportation savings and more Benefit options and eligibility vary by position, scheduled hours and location. Benefits are subject to change at any time. Your recruiter will provide the most up-to-date details during the hiring process. How you'll make an impact in this role - Integrate and analyze diverse datasets across national and local markets to provide actionable intelligence for key business units, including imaging, pharmacy, and surgical services. - Define the scope and framework for complex analytical and statistical reports, ensuring all deliverables provide high-level clarity and meet evolving management needs. - Identify emerging data trends to provide data-backed recommendations, directly influencing stakeholder decision-making and organizational strategy. - Serve as a subject matter expert by coaching and mentoring staff on data accessibility and interpretation, fostering a culture of data literacy across the department. What minimum requirements you'll need Education: - High school diploma/GED with 2 years of experience, or Associate's degree, or Bachelor's degree required. Work Experience: - 3 years of experience preferred. What additional preferences we're seeking - Experience with healthcare industry, healthcare claims data, and/or corporate strategy - Experience with advanced analytic tools like SQL, R, python, and/or tableau and platforms such as Athena and Cerner - Work from Ascension Kansas and/or Oklahoma Headquarters 3 days a week with flexibility. Willingness to travel between the two markets Equal employment opportunity employer Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster. Fraud prevention notice Prospective applicants should be vigilant against fraudulent job offers and interview requests. Scammers may use sophisticated tactics to impersonate Ascension employees. To ensure your safety, please remember: Ascension will never ask for payment or to provide banking or financial information as part of the job application or hiring process. Our legitimate email communications will always come from an @ascension.org email address; do not trust other domains, and an official offer will only be extended to candidates who have completed a job application through our authorized applicant tracking system. E-Verify statement Employer participates in the Electronic Employment Verification Program. Please click here for more information.

• Analyze user behavior, product performance, and key business metrics to identify trends and opportunities. • Create and maintain interactive dashboards and reports using tools like Tableau, Looker, Power BI, or Google Data Studio. • Collect, clean, and structure large datasets to ensure accuracy and usability. • Define and track KPIs for marketing, product, and business performance. • Work with SQL, Python, or R to extract, analyze, and manipulate data. • Collaborate with product managers, engineers, and marketing teams to provide data-driven insights. • Conduct A/B testing and experiment analysis to improve product features and user engagement. • Identify bottlenecks and opportunities in user journeys and customer funnels. • Present findings in a clear and compelling way to stakeholders and leadership teams. • Stay up to date with industry trends, analytics best practices, and emerging data tools.