This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Senior Director/ Principal Consultants drive innovation within payment integrity analytics by designing new detection frameworks and managing algorithm portfolios. The role strongly influences the Creation and Impact phases of the Sagility Payment Integrity Solutions. Key Responsibilities - Discovery - Identify strategic opportunities for payment integrity innovation. - Lead cross-functional discovery initiatives. - Creation - Design enterprise-scale detection algorithms. - Build algorithm libraries across clinical, coding, and pricing leakage areas. - Develop advanced predictive analytics models. - Impact - Manage analytics portfolio delivering significant financial recoveries. - Collaborate with PI operations leaders and client stakeholders. - Drive innovation within PI analytics methodology. Qualifications - Advanced PI analytics expertise - Algorithm portfolio design - Healthcare payer economics Requirements - AI-driven analytics - Predictive modeling - Healthcare reimbursement modeling - 10–15 years in healthcare analytics or payment integrity. Location Work@Home USA, United States of America

• Enable self-service analytics for all team members by designing clean, intuitive data models and metrics through dbt, empowering employees to make informed, data-driven decisions. • Develop and refine custom data pipelines that ingest data from operational systems to our analytics platform, handling both streaming and batch data using third-party tooling and home-grown solutions • Maintain and optimize the data platform infrastructure, focusing on data quality, ELT efficiency, and platform hygiene. • Architect and implement key components of the analytics infrastructure, such as BI, semantic layers, and foundational data warehouse. • Develop and maintain streaming data pipelines from a variety of databases and data sources • Collaborate across business units to understand data needs and ensure required data is collected, modeled, and available to team members. • Document best practices and coach/advise other data analysts, product managers, engineers, etc. on data modeling, SQL query optimization & reusability, etc. Keep our data platform tidy by managing roles and permissions and deprecating old projects.

Job Description Certificates and Licenses: None required Residency: Texas Salary: $56,000 SUMMARY: The Title 1 funded Student Behavior Analytics Lead provides strategic oversight of student conduct across K–12 virtual environments, ensuring alignment with campus behavioral expectations, digital citizenship standards, and safety protocols. It involves analyzing behavior incidents and trends within an MTSS framework, collaborating with campus leaders, IT, and families to determine appropriate interventions and maintain consistent behavior systems. Additionally, the role supports data integrity, guides staff on behavior practices and ensures compliance with confidentiality requirements and regulatory standards. ESSENTIAL FUNCTIONS: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. - Provide strategic oversight of student conduct within the K12 Zone and all virtual student engagement platforms, ensuring alignment with campus behavioral standards, digital citizenship expectations, and student safety protocols. - Apply professional discretion and independent judgment in evaluating behavioral incidents within a Multi-Tiered System of Supports (MTSS) framework, determining the appropriate level of intervention, response, and escalation to the Campus Behavior Team. - Lead the comprehensive review and analysis of behavior referrals, incorporating historical data, contextual factors, and student-specific variables to inform intervention planning and corrective action. - Contribute to the development, refinement, and implementation of campus-wide behavioral frameworks, procedures, and strategic initiatives. - Serve as the primary liaison for parent communication regarding behavior incidents occurring within virtual environments, including those related to device misuse or system access concerns, fostering collaborative and solution-focused partnerships. - Collaborate cross-functionally with Information Technology and campus leadership to address behavior-related system issues (e.g., chat restrictions, access modifications, incident documentation), ensuring alignment between behavioral determinations and platform access. - Partner with the Campus Behavior Manager to support investigations, recommend interventions, and ensure consistent implementation of campus behavior systems and procedures. - Oversee the integrity and alignment of behavior data across systems, utilizing trend analysis to inform leadership decisions, proactive supports, and continuous improvement efforts. - Provide consultative guidance to instructional staff and campus leaders regarding student behavior trends, appropriate interventions, and system-level responses. - Ensure compliance with all applicable state and federal regulations, including FERPA, and uphold strict standards of confidentiality and professional ethics. Supervisory Responsibilities: This position has no formal supervisory responsibilities. MINIMUM REQUIRED QUALIFICATIONS: - High School Diploma - Strong situational awareness and ability to interpret informal or coded language commonly used in teen online communication, e.g. slang, memes, abbreviations, behavior patterns, etc. - Prior experience working with student behavior or in school operations - Strong organizational and communication skills (professional and informal) - Ability to multitask and monitor multiple online environments simultaneously - Comfort working with technology platforms and collaborating with IT teams - Commitment to student safety, professionalism, and confidentiality - Proficiency in Office 365 Outlook, Word, Excel, PowerPoint - Ability to travel 20% of the time - Ability to clear required background check DESIRED QUALIFICATIONS: - Associate degree or some college coursework in related field - Prior experience in K12 Platforms 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. 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. 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.

A little about us…Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. Transportation technology is a hot market, and we’re leading the charge with raving fans and new customers signing up every day. We raised $450M in our Series D funding round in March of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud founding member of the Rails Foundation! More about our team and company: - Fleetio overview video: https://www.youtube.com/watch?v=IlvIbwZT3oU - Our careers page: https://www.fleetio.com/careers About Fleetio & Auto Integrate Fleetio is a modern fleet operations platform used by thousands of organizations worldwide to manage vehicles, equipment, and drivers. Auto Integrate, acquired by Fleetio in 2025, is a leading global maintenance authorization network that supports fleets that outsource their service, maintenance, and repair needs. The business is managed by a small, global team within Fleetio, combining the resources of a scaled SaaS company with the agility of a niche market leader. Description We are looking for a Senior Analytics Engineer to play a foundational role in building Auto Integrates’ internal analytics infrastructure. In this role, you will design and implement the systems that power reporting, operational visibility, and product analytics across the organization. You will focus primarily on building and scaling our internal data platform from the ground up. In close partnership with Product & Engineering, you will also help integrate analytics directly into the platform — enabling data-driven features, reporting, and insights for our customers. You will collaborate closely with leadership, engineering, and other internal stakeholders to ensure data aligns with business needs and supports strategic objectives. This is an opportunity to shape the foundation of Auto Integrate's analytics ecosystem, where data plays a central role in how we operate, how we grow, and how we deliver value to customers. This position will require experience in building a data platform from the ground up, enabling the team to access analytics in ways they have not before. If you are more interested in building upon and improving an existing data platform, check out our other Senior Analytics Engineer job posting: https://job-boards.greenhouse.io/fleetio/jobs/5054939007. Who you are The ideal candidate for this role is a business-savvy senior-level analytics engineer with experience in building and owning complex analytics platforms and working closely with stakeholders. You’re comfortable starting from a relatively open landscape and defining scalable architecture, modeling standards, and best practices. You have a deep understanding of data modeling, data transformation, and data warehousing on modern data platforms. Your experience goes beyond just data engineering; you have a strong foundation in analytics and have worked closely with customer-facing products. You bring strong but adaptable opinions on design patterns, architecture, and data modeling, and you are passionate about solving business challenges by delivering scalable, data-driven solutions. You have a knack for translating ambiguous business questions into clear, actionable data insights and incrementally deliver impactful results. Product-minded and team-oriented, you actively listen to others’ perspectives and educate on best practices. Excellent communication, especially written, is one of your strengths. Your impact - Enable self-service analytics for all team members by designing clean, intuitive data models and metrics through dbt, empowering employees to make informed, data-driven decisions. - Develop and refine custom data pipelines that ingest data from operational systems to our analytics platform, handling both streaming and batch data using third-party tooling and home-grown solutions - Maintain and optimize the data platform infrastructure, focusing on data quality, ELT efficiency, and platform hygiene. - Architect and implement key components of the analytics infrastructure, such as BI, semantic layers, and foundational data warehouse. - Develop and maintain streaming data pipelines from a variety of databases and data sources - Collaborate across business units to understand data needs and ensure required data is collected, modeled, and available to team members. - Document best practices and coach/advise other data analysts, product managers, engineers, etc. on data modeling, SQL query optimization & reusability, etc. Keep our data platform tidy by managing roles and permissions and deprecating old projects. Your experience - 5+ years of experience with a proven track record in data or analytics engineering. - Experience transforming raw data into clean models using standard tools of the modern data stack and a deep understanding of ELT and data modeling concepts. - Hands-on experience building and orchestrating ELT pipelines using Azure Data Factory - Experience with Microsoft SQL Server. - Proficiency in Python and orchestration tooling like Prefect or Dagster. - Experience in designing, building, and administering modern data pipelines and data warehouses. - Experience with dbt. - Experience with semantic layers like Snowflake's semantic views, Cube, or Metricflow. - Experience with Snowflake, BigQuery, or Redshift. - Experience with version control tools such as GitHub or GitLab. - Experience with CI/CD and IaaC tooling such as GitHub Actions and Terraform. - Experience with business intelligence solutions (Metabase, Looker, Tableau) - Excellent communication and project management skills with a customer service-focused mindset. Considered a plus - Experience with data marketplaces/private sharing technologies such as Snowflake Marketplace or AWS Data Exchange. - Experience with ELT tools such as Stitch or Fivetran. - Experience contributing to open-source projects. - Experience with streaming data and pipelines such as Kafka or Kinesis. - Experience with full-stack engineering. Benefits - Multiple health/dental coverage options (100% coverage for employee, 50% for family) - Vision insurance - Incentive stock options - 401(k) match of 4% - PTO - 4 weeks (increases at year two!) - 12 company holidays + 2 floating holidays - Parental leave - birthing parent (16 weeks paid) non-birthing (4 weeks paid) - FSA & HSA options - Short and long term disability (short term 100% paid) - Community service funds - Professional development funds - Wellbeing fund - $150 quarterly - Business expense stipend - $125 quarterly - Mac laptop + new hire equipment stipend - Fully stocked kitchen with tons of drinks & snacks (BHM only) - Remote working friendly since 2012 #LI-REMOTE Fleetio provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. We celebrate diversity and are committed to creating an inclusive environment for all. All employment is decided on the basis of qualifications, merit and business need. This application is not intended to and does not create a contract or offer of employment. Employment with Fleetio is at will. If you have a disability or a special need that requires an accommodation to fill out the online application, please let us know by calling (205) 718-7500.