Phaxis

Data Analyst: IV

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst IV focusing on Power BI, offering a 6-month remote contract at $70-$78/hr. Requires a Bachelor's degree, 5+ years in data analysis, expertise in Power BI and SQL, and healthcare data experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
624
-
πŸ—“οΈ - Date
October 16, 2025
πŸ•’ - Duration
More than 6 months
-
🏝️ - Location
Remote
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Kentucky, United States
-
🧠 - Skills detailed
#Migration #Data Warehouse #DAX #Scala #Data Modeling #Datasets #Data Quality #Microsoft Power BI #BI (Business Intelligence) #Business Analysis #Data Accuracy #Databricks #DevOps #Data Engineering #Visualization #"ETL (Extract #Transform #Load)" #Azure #SQL (Structured Query Language) #Azure DevOps #Documentation #Data Analysis #Agile #Data Governance
Role description
Data Analyst IV/ Business Analyst (Power BI Focus) Location: Remote (Must work EST or CST hours) Schedule: Monday–Friday, 8:00 AM – 5:00 PM EST/CST Employment Type: 6 Month Contract $70/hr.-$78/hr. Position Overview This role is focused on supporting enterprise reporting modernization by translating legacy reporting logic into scalable, high-performing Power BI solutions. The successful candidate will work closely with data engineers, solution architects, and developers to define reporting requirements, validate data accuracy, and ensure high-quality data delivery. This position requires a strong foundation in healthcare data, data analysis, SQL, and Power BI development. Key Responsibilities β€’ Collaborate with business stakeholders to gather and document detailed data requirements, including KPIs and reporting metrics. β€’ Analyze historical and legacy reports to identify data sources, business logic, and metric definitions. β€’ Translate legacy reporting logic into modern specifications aligned with Power BI and current enterprise data models. β€’ Support the design of semantic layers and scalable data models that enable consistent, efficient reporting. β€’ Create and maintain mapping documentation between legacy systems and new data warehouse structures. β€’ Work alongside data engineers and architects to ensure pipelines are optimized for analytical and reporting use. β€’ Partner with Power BI developers to ensure timely and accurate delivery of reports, dashboards, and visualizations. β€’ Conduct data validation and testing to confirm the accuracy and consistency of report outputs. β€’ Investigate and resolve data quality issues in collaboration with technical teams. Required Qualifications β€’ Bachelor's degree in Data Analytics, Information Systems, Healthcare Informatics, or a related field. β€’ Minimum 5 years of experience in data or business analysis with a focus on enterprise reporting and metrics development. β€’ Hands-on experience with Power BI, including DAX for data modeling and advanced calculations. β€’ Proficiency in SQL for querying, transformation, and analysis of large datasets. β€’ Strong understanding of data warehouse concepts and experience with enterprise platforms such as Azure and/or Databricks. β€’ Familiarity with Agile methodologies and tools such as Azure DevOps or AHA for managing tasks and workflows. Preferred Qualifications β€’ Experience working in the healthcare industry, particularly with clinical, financial, or operational datasets. β€’ Background in analyzing complex data environments and legacy reporting systems. β€’ Understanding of data governance best practices and principles for ensuring data quality and consistency. β€’ Experience with large-scale reporting modernization or migration projects (e.g., from legacy tools to Power BI). β€’ Strong stakeholder engagement skills, with the ability to gather requirements, present findings, and align solutions with business needs. Core Competencies β€’ Ability to translate technical data concepts for non-technical stakeholders. β€’ Strong problem-solving skills and analytical thinking. β€’ Effective communication and collaboration across cross-functional teams. β€’ Attention to detail in documentation, testing, and validation. β€’ Results-driven mindset with the ability to work independently and manage multiple priorities.