Job Description Support Operations focuses on processes and teams including: general office administration and clerical support; reception/telephone/switchboard; mailroom & filing support. High School diploma or GED, 0-1 year of related experienceSpecifics of the needs: We’re looking for a detail‑oriented Data & Scheduling Coordinator to support our K–12 Tutoring operations. This role focuses on accurate data entry, schedule management, and daily updates across key platforms. Key Responsibilities - Enter and update data in PowerSchool and Canvas - Maintain schedule and calendar continuity between Canvas and the K12 Tutoring Platform - Manage Excel sheets (basic formulas, filtering) to distill information down to key elements - Complete next‑day scheduling tasks during late afternoon/evening ET Requirements - 1+ year of data entry or administrative experience - Proficiency in Canvas and Excel - Experience with PowerSchool a plus (training available) - Strong accuracy, reliability, and communication - Must have some daily overlap with ET and be available for evening tasks Preferred - Experience in K–12 or tutoring programs - Based in a time zone later than ET (or able to work later shifts) Job Type EOR Contractor_CW (Fixed Term) 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.

• Lead and inspire a diverse team of data engineers, quality assurance specialists, and machine learning engineers, fostering a collaborative and inclusive work environment. • Architect, design, and implement scalable and efficient data pipelines using Snowflake, dbt, and Fivetran, ensuring the reliability and integrity of data across the organization. • Define and implement data quality standards, processes, and tools to ensure the accuracy, completeness, and consistency of data assets. • Oversee the development and deployment of machine learning models and algorithms, working closely with machine learning engineers to drive innovation and deliver business value. • Cultivate strong partnerships with stakeholders across the organization, including data analysts, data scientists, product managers, and executives, to understand business requirements and deliver impactful solutions. • Communicate effectively with technical and non-technical audiences, presenting complex concepts and findings in a clear and compelling manner.

The Field Data Specialist gathers, organizes, packages, and presents operational data and translates the numbers into a consumable format. Enters data from various source documents into the computer system for storage, processing, and data management purposes. This is a remote position. Essential Functions & Responsibilities: - Supports and partners with team members and management across departments and units - Runs delivered reports as needed - Enters data from source documents into prescribed computer database, files and forms - Ensures quality and consistent data collection - Reviews large sets of data and may break down into desired final output - Packages and present data, both client-facing and for internal communication - Verifies data and facilitates corrections when necessary - Manages data request intake queue; responds timely to requests for information - Complies with data integrity and security policies - Additional projects and duties as assigned - Supports and contributes to data collection efforts Knowledge & Skills: - Comfortable with statistics - Strong critical thinking skills and attention to detail - Functions at a high level with minimal supervision - Is a leader and critical thinker - Strong time management skills - Skills in spreadsheets and Excel macros - Creative vision, a passion for learning and willingness to adopt and share new ideas - Must be organized and adaptable in a rapidly changing environment Education & Experience: - Associate’s Degree or relevant work experience PAY RANGE: CorVel uses a market based approach to pay and our salary ranges may vary depending on your location. Pay rates are established taking into account the following factors: federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions. Our ranges may be modified at any time. For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role. The level may impact the salary range and these adjustments would be clarified during the offer process. Pay Range: $19.62 - $29.39 per hour A list of our benefit offerings can be found on our CorVel website: CorVel Careers | Opportunities in Risk Management In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first. ABOUT CERIS: CERIS, a division of CorVel Corporation, a certified Great Place to Work® Company, offers incremental value, experience, and a sincere dedication to our valued partners. Through our clinical expertise and cost containment solutions, we are committed to accuracy and transparency in healthcare payments. We are a stable and growing company with a strong, supportive culture along with plenty of career advancement opportunities. We embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!). A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off. CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable. #LI-Remote

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions • Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards • Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access • Architect and implement a shift-left data governance strategy, working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production • Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement • Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable • Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development