CornerStone Technology Talent Services

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with a contract length of "unknown" and a pay rate of "$X/hour." It requires expertise in healthcare data, Power BI, SQL, DAX, and data governance. A bachelor's degree and 5 years of relevant experience are essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
624
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πŸ—“οΈ - Date
October 16, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Louisville, KY
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🧠 - Skills detailed
#Data Warehouse #DAX #Scala #Data Modeling #Datasets #Data Pipeline #Data Quality #Microsoft Power BI #BI (Business Intelligence) #Business Analysis #Databricks #Data Extraction #DevOps #Data Engineering #Visualization #"ETL (Extract #Transform #Load)" #Azure #SQL (Structured Query Language) #Azure DevOps #Documentation #Data Analysis #Agile #EDW (Enterprise Data Warehouse) #Requirements Gathering #Data Governance
Role description
General Summary: This Data Analyst / Business Analyst role will play a critical role in supporting enterprise reporting initiatives by translating legacy reporting logic into modern, scalable Power BI solutions. This position is responsible for analyzing historical reports, defining key metrics, documenting data requirements, and collaborating with cross-functional teams to ensure accurate, high-quality data delivery. The analyst will work closely with data engineers, architects, and Power BI developers to define requirements, validate data outputs, and resolve data quality issues. A strong background in healthcare data, enterprise data environments, and advanced analytics tools such as Power BI, SQL, and DAX is essential for success in this role. Essential Job Responsibilities: β€’ Partner with business sponsors to gather, analyze, and document detailed data requirements, including key performance indicators (KPIs) to support reporting needs. β€’ Conduct thorough analysis of legacy reports to identify underlying data sources, business logic, and metric definitions. β€’ Convert legacy report logic into clear specifications aligned with modern data models and Power BI architecture. β€’ Contribute to the definition of data elements and assist in designing semantic layers that enable scalable and consistent reporting. β€’ Develop and maintain mapping documentation between legacy data structures and new enterprise data warehouse schemas. β€’ Collaborate with data engineers and solution architects to ensure data pipelines are optimized for reporting and analytics use cases. β€’ Work in close coordination with Power BI developers to support the accurate and timely delivery of dashboards and visualizations. β€’ Perform data validation and testing to ensure report outputs are accurate, consistent, and meet business expectations. β€’ Identify and investigate data quality issues, partnering with technical teams to resolve discrepancies and improve data reliability. Education/Experience: β€’ Bachelor’s degree in Data Analytics, Information Systems, Healthcare Informatics, or a related field. β€’ Minimum of 5 years in data analysis, business analysis, or a similar role with a focus on enterprise reporting and metrics development. β€’ Healthcare industry experience is strongly preferred, particularly with clinical, financial, or operational data. β€’ Skilled in working with large, complex datasets within enterprise data environments. β€’ Solid understanding of data warehousing concepts and experience with platforms such as Azure and Databricks. β€’ Comfortable operating in large enterprise settings, with cross-functional collaboration across business and technical teams. β€’ Familiarity with Agile methodologies and tools such as AHA and Azure DevOps for managing requirements and development workflows. Knowledge/Skills/Abilities: β€’ Proficient in DAX for developing calculated columns, measures, and advanced data modeling in Power BI. β€’ Strong grasp of data governance principles and best practices for ensuring data quality, consistency, and integrity. β€’ Deep understanding of data visualization techniques, with hands-on experience designing intuitive and impactful dashboards in Power BI. β€’ Skilled in SQL for data extraction, transformation, and analysis across diverse data sources. β€’ Exceptional communication skills, with the ability to convey technical concepts clearly to both technical and non-technical stakeholders. β€’ Proven ability to translate complex datasets into actionable insights that support decision-making and performance improvement. β€’ Effective stakeholder engagement and management, including requirements gathering, feedback facilitation, and solution alignment.