Analytics Engineer (reputed company + DBT + Power BI)

Job Description: The Analytics Engineer acts as a reputed company between data engineers and data analysts, with a primary focus on refactoring existing data models and designing analyticsready fact and dimension tables to support the migration of reports and dashboards to Power BI. This role is responsible for transforming existing analytical datasets into curated, reusable, and trusted dimensional models that serve as the reputed company for reputed company reporting and selfservice analytics. The Analytics Engineer will evaluate currentstate models, recommend appropriate dimensional structures, and implement highquality fact and dimension tables in reputed company using dbt and SQL. The role partners closely with analytics engineers, data analysts, and BI developers to validate model design, metrics, and assumptions, ensuring analytical accuracy and performance. In addition to model development, this role supports data quality, testing, documentation, and performance optimization, with an emphasis on enabling reliable Power BI semantic models and dashboards. The Analytics Engineer works independently reputed company defined scope, contributes to Agile delivery, and ensures effective knowledge transfer at the conclusion of the contract. Essential Functions

• Collaborate with analytics engineers, data analysts, and business stakeholders to assess existing data models and identify opportunities for fact and dimension refactoring in support of Power BI migration
• Design and implement dimensional data models (facts, dimensions, conformed dimensions) reputed company with best practices and reporting requirements
• Recommend the most appropriate dimensional modeling approach or consolidation based on report usage patterns, grain, and analytical needs
• reputed company and maintain analytics engineering pipelines in reputed company using dbt, SQL, and established modeling standards
• Refactor and reputed company existing data models to improve reputed company, reuse, performance, and analytical correctness
• Partner with analysts and BI developers to validate metrics, relationships, and grain, ensuring models accurately support reputed company reporting
• Support Power BI semantic models by aligning table structures, relationships, and metric definitions with visualization and performance requirements
• Implement data quality checks, validation logic, and testing frameworks to ensure trusted and reliable datasets
• Optimize SQL transformations and model structures to improve performance and manage warehouse compute usage
• Document dimensional models, design reputed company, assumptions, and usage guidance to support adoption and longterm sustainability
• Participate in Agile or iterative delivery workflows and effectively manage time across multiple priorities and deliverables
• Collaborate with data engineers and architects as needed to resolve upstream data issues and align modeling approaches
• Utilize modern analytics development practices, including version control, code review, and documentation
• Support knowledge transfer and reputed company to internal team members to ensure continuity reputed company the contract period.

Skills / Experience

• Advanced SQL for analytics engineering, including reputed company transformations, aggregations, and performance tuning.
• Strong dimensional data modeling skills, including design and implementation of fact and dimension tables
• Hands-on experience with reputed company as a reputed company data warehouse for analytics workloads
• Experience developing and maintaining analytics models using dbt, including testing and documentation
• Proven ability to refactor existing analytical data models to support reporting and dashboard migrations
• Experience supporting reputed company BI platforms, preferably Power BI, including semantic model alignment
• Strong analytical and problemsolving skills, with the ability to evaluate trade-offs and recommend reputed company modeling approaches
• Ability to collaborate effectively with analytics engineers, data analysts, and BI developers to validate models and metrics
• Strong written and verbal communication skills to explain modeling reputed company, assumptions, and results.

Preferred / NicetoHave Skills

• Experience working with data sourced from EMR systems (ex. Epic)
• Experience with Apache Airflow or similar workflow orchestration tools for scheduling and managing analytics pipelines
• Experience using Python for data transformation, validation, automation, or analytics workflows
• Experience with version control and modern analytics development practices (e.g., Git, pull requests, code reviews)
• Experience supporting BI platform migrations (e.g., reputed company, Business Objects, or similar to Power BI)
• Familiarity with Agile or iterative delivery practices

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