• Construir e manter modelos preditivos aplicados a decisões de negócio; • Estruturar, desenvolver e evoluir pipelines de dados robustos e escaláveis; • Apoiar as áreas de negócio com análises e garantir o funcionamento da cultura self-service de dados; • Otimizar, documentar e estruturar relatórios e dashboards no Looker; • Contribuir com as iniciativas de Inteligência Artificial em estágio de estruturação na empresa; • Suportar análises e projetos estratégicos de negócio com visão orientada a dados; • Compartilhar conhecimento e apoiar o desenvolvimento técnico do time.

Company: AHI agilon health, inc. Job Posting Location: Remote - USA Job Title: ​ Healthcare Analytics Engineer I Job Description: ​ Candidates must be legally authorized to work in the United States without employer sponsorship, now or in the future. At agilon health, you’ll join the Enterprise Analytics team dedicated to building data models, dashboards, and analytics tools that support business functions across the enterprise. As an Analytics Engineer I, you will contribute to the development and maintenance of reporting infrastructure while building foundational expertise in healthcare analytics and data engineering. You will work under the guidance of senior team members to support data modeling, pipeline monitoring, and analytics delivery efforts. This role is ideal for someone early in their analytics engineering career who is eager to learn, grow technical skills, and make an impact in transforming healthcare. To be considered, candidate must be located EST OR CST Essential Job Functions: - Support the design, development, and maintenance of data models for analytics and reporting - Assist in documenting standard tables, data sources, and basic relationships - Contribute to data quality initiatives by identifying inconsistencies and helping standardize definitions - Monitor existing data pipelines and escalate issues related to stability or timeliness - Partner with business and technical stakeholders to understand reporting requirements - Utilize SQL, Python, and related technologies to support data transformation and automation tasks Other Job Functions: - Understand, adhere to, and implement the Company’s policies and procedures - Demonstrate responsiveness and professionalism with internal stakeholders - Take initiative in developing technical and business knowledge - Communicate clearly and professionally, both verbally and in writing - Demonstrate reliability, accountability, and attention to detail in deliverables - Actively seek feedback and apply learnings to improve performance Required Qualifications: Minimum Experience - 1–3 years of experience working with data transformation, analytics, or ETL pipelines - Foundational proficiency in SQL - Working knowledge of Python or similar programming language Preferred Experience - Familiarity with cloud data platforms such as Snowflake or SQL Server - Exposure to dbt or modern data transformation frameworks - Foundational proficiency in VS code and Bitbucket - Interest in or exposure to healthcare data, particularly Medicare Advantage or value-based care models Education: - Bachelor’s Degree in mathematics, computer science, statistics, engineering, or related field required - Master’s degree preferred but not required Knowledge, Skills and Abilities: - Ability to understand business requirements and translate them into structured datasets with guidance - Strong analytical thinking and problem-solving skills - Clear written and verbal communication skills - Detail-oriented with strong organizational skills - Eagerness to learn new technologies and healthcare analytics concepts - Ability to document processes and maintain technical documentation Location: ​ Remote - PA Pay Range: ​ Salary range shown is a guideline. Individual compensation packages can vary based on factors unique to each candidate, such as skill set, experience, and qualifications.

• Bridge the gap between data engineering and analytics team • Transform raw data into scalable, trusted datasets • Deliver high-impact analytics solutions through modern BI visualization platform • Leverage cloud data platform • Design, build, and maintain scalable data models (dimensional, star/snowflake schemas) • Develop and optimize SQL / PL-SQL transformations for analytics consumption • Implement and manage semantic layers to standardize business logic and metrics • Ensure data quality, consistency, and governance across datasets • Develop and maintain dashboards, liveboards, and search-driven analytics (preferably in ThoughtSpot) • Translate business requirements into intuitive, self-service analytics solutions • Partner with stakeholders to define KPIs, metrics, and reporting standards • Work within Snowflake for data modeling, performance tuning, and cost optimization • Collaborate with data engineering teams on data pipelines and ingestion frameworks • Optimize query performance and warehouse utilization • Support embedded analytics use cases (APIs, SDKs, or iframe-based integrations) • Enable external and internal users with governed, scalable analytics access • Drive adoption of BI tools through best practices and training • Define and enforce standards for data modeling, naming conventions, and metric definitions • Contribute to data cataloging and documentation

Build a Bigger, Better, Bolder Future Imagine working for a company that measures its success based off the growth of its colleagues, a company that invests in its future by investing in you. Little Caesars is a company where our colleagues make an impact. Your Mission: The Refund Analytics & Records Specialist is a highly accountable individual contributor role responsible for the creation, validation, analysis, and governance of refund and reimbursement data across U.S. and Canadian operations. This role functions as the system of record owner for refund reporting, ensuring financial accuracy, audit readiness, and data integrity across multiple platforms and stakeholders. The position requires exceptional attention to detail, strong analytical judgment, and the ability to independently manage recurring, deadline driven workflows with minimal oversight. Success in this role depends on disciplined recordkeeping, proactive issue identification, and the ability to operate at a consistently high standard in a high-risk, high-volume environment. How You’ll Make an Impact: Data Analysis, Audit & Record Ownership - Own the end-to-end lifecycle of refund and reimbursement data, serving as the authoritative source for accuracy and completeness - Edit, reconcile, and import refund reports across daily, weekly, and weekend reporting cycles - Create, maintain, and govern Excel based datasets used for reimbursement tracking, partner reporting, and franchise communications - Perform detailed audits of refund data to identify discrepancies, trends, and recurring root cause issues - Ensure all reimbursement records meet documentation, justification, and audit readiness standards at all times Financial Reporting & Partner Deliverables - Produce and distribute weekly reimbursement reports covering prior reporting periods with zero-defect expectations - Validate refund calculations, categorizations, and reimbursement eligibility prior to submission - Participate in biweekly partner review meetings to explain data findings, address discrepancies, and support resolution efforts - Maintain consistent data standards across all externally shared reports and files Canadian Refund & Franchise Reporting - Analyze and complete Canadian refund related tickets in accordance with established financial and operational controls - Maintain accurate, UpToDate records of Canadian refund activity within designated tracking systems - Prepare and distribute refund documentation to Canadian stores and franchise partners - Ensure full refund documentation is complete, accurate, and defensible prior to release - Execute controlled customer communications related to promotional codes when required Operational & System Support - Serve as a subject matter expert for refund data, documentation standards, and reporting workflows - Support agents with ServiceNow, Customer Service, or Qualtrics tickets when data accuracy or process interpretation is required - Identify process gaps, inefficiencies, and risk areas through ongoing data review and analysis Who You Are: - High school education or equivalent - Two (2) years’ experience working in a data analyst, auditor, or records management capacity - Advanced proficiency in Excel, including data validation, reconciliation, filtering, and analysis - Experience in working with Microsoft Suite systems Preferred Knowledge, Skills and Abilities: - Experience with ServiceNow or similar enterprise ticketing systems - Background supporting financial, refund, reimbursement, or compliance related operations Competencies: - Demonstrated ability to manage multiple recurring deadlines independently in a high-volume environment - Consistent delivery of accurate, audit ready data with strong personal accountability for data integrity - Strong analytical skills, including reviewing, validating, reconciling, and documenting structured datasets - Proactive identification of trends, errors, and systemic issues prior to escalation - Exceptional attention to detail with disciplined time management across daily and weekly deliverables - Ability to maintain documentation suitable for audit or executive review Where You’ll Work: - General office environment with little discomfort from noise, temperature and weather exposure. Disclaimer: The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Blue Line Distribution. Blue Line Distribution is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual’s race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested. This company participates in E-Verify. Click on any of the links below to view or print the full poster. E-Verify and Right to Work. PRIVACY POLICY