Analytics Engineer (Remote)

Job Description An employer is seeking an Analytics Engineer to join their data organization. This individual will play a key role in transforming curated data into clear, consistent, and analyticsu2011ready data models that support reporting, dashboards, and decisionu2011making across the business. This role sits at the intersection of data engineering, analytics, and business stakeholders, owning the semantic layer and ensuring metrics are trusted, wellu2011defined, and easy to use. The ideal candidate is highly skilled in SQLu2011based transformations, understands dimensional modeling best practices, and partners closely with crossu2011functional teams to deliver intuitive, highu2011quality analytics assets that enable selfu2011service insights and operational decisionu2011making. Responsibilities - Design, build, and maintain analyticsu2011ready data models, including facts, dimensions, and data marts - Develop and manage SQLu2011based transformations within the semantic and analytics layer - Own and maintain metrics, business logic, and calculations to ensure consistency across dashboards and reports - Apply dimensional modeling best practices optimized for BI and analytical consumption - Partner closely with product, operations, finance, and business stakeholders to translate requirements into wellu2011defined metrics and models - Act as a steward of business logic by ensuring metric definitions are documented, aligned, and standardized - Proactively identify gaps or inconsistencies in metrics and drive alignment across teams - Optimize analytics models for clarity, usability, and performance for downstream consumers - Support analysts and BI developers by enabling faster, more reliable dashboard and reporting development - Implement data quality checks and testing at the analytics layer - Contribute to analytics engineering standards, conventions, and documentation - Collaborate with data engineering teams to improve source data readiness for analytics We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements - Bacheloru2019s degree in Computer Science, Data Analytics, Statistics, Mathematics, or related field (or equivalent experience) - 2+ years of experience in analytics engineering, analytics, business intelligence, or a related role - Advanced SQL skills with experience building complex, maintainable transformations - Handsu2011on experience with analytics engineering and semanticu2011layer tooling - Strong understanding of dimensional modeling, metrics design, and semantic layer concepts - Experience supporting BI tools and downstream analytics use cases (dashboards, reporting, adu2011hoc analysis) - Strong communication skills with both technical and nonu2011technical stakeholders - Experience in healthcareu2011related operations and familiarity with industry terminology - Experience enabling selfu2011service analytics at scale - Exposure to data quality frameworks or analytics testing practices - Prior work supporting operational or financial reporting use cases

Created: 2026-04-20