• Own the analytics foundation for advertiser-facing reporting • Drive shared metric consistency across the ad platform • Act as steward for cross-module metric consistency • Build and extend the Ads Metric Catalog into the ad platform • Partner closely with Campaign Reporting PM and Data Engineering • Represent reporting and metric standards on cross-team councils • Participate in cross-functional governance to ensure metric consistency

• Develop performant, scalable, and user-oriented BI solutions on top of the defined backend • Build and maintain enterprise-level Power BI reports, delivering scalable, user-oriented BI solutions on top of the defined backend • Develop high-performance DAX and robust analytical models capable of handling large, granular fact tables, with strong focus on performance and maintainability • Design and evolve the Power BI semantic layer (star schemas, composite models), applying aggregation strategies and query optimization to improve report responsiveness • Implement Row-Level Security (RLS) aligned with backend logic and leverage Collibra Cloud concepts (data products, business glossary, certification) to support trusted enterprise reporting • Work with IT and business colleagues to develop solutions to specific problems that at times leverage existing solutions and systems • Build professional relationships with clients, management, and team members to ensure the delivery of proposed solutions

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: ​ $87,000.00 - $106,600.00 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.

• Obsess over user success through technical problem-solving • Be the Lightdash expert • Teach and share complex concepts with users • Build and grow community around analytics engineering