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GCP​/Power BI - Remote​/Telecommute

Remote / Online - Candidates ideally in
Dallas, Dallas County, Texas, 75201, USA
Listing for: Cynet Systems
Remote/Work from Home position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Business Intelligence, Data Warehousing
Job Description & How to Apply Below
Position: GCP / Power BI - Remote / Telecommute

Data & Analytics Specialist

Requirement/Must Have:

  • 7+ years of experience in Data & Analytics roles.
  • 5+ years of hands-on BI development experience.
  • Advanced Power BI expertise, including DAX development, data modeling, dashboard and visual design, Row-Level Security (RLS), performance tuning and optimization.
  • Advanced Tableau expertise with experience supporting complex dashboards.
  • Ability to migrate Tableau solutions to Power BI.
  • Working knowledge of SAS to support and retire legacy solutions.
  • Experience with GCP/Big Query through MCC.
  • Strong SQL development and query optimization skills.
  • Experience designing and optimizing semantic layers across multiple BI platforms.
  • Proficiency in Power Query (M) and DAX.
  • Python or R experience is an added advantage.
  • Understanding of HIPAA compliance within BI environments.
  • Experience implementing Row-Level Security (RLS) and PHI protection.
  • Familiarity with audit and compliance requirements for healthcare data.

Responsibilities:

  • Own and manage the semantic layer across SAS, MCC, and Power BI.
  • Optimize data models for performance, scalability, and consistency.
  • Develop and maintain Power BI reports, dashboards, and datasets.
  • Create advanced DAX measures and calculations.
  • Support and maintain complex Tableau dashboards.
  • Lead migration of Tableau reporting to the target Power BI platform where applicable.
  • Support legacy SAS environments by interpreting, maintaining, and retiring existing solutions.
  • Query, analyze, and model data in GCP/Big Query via MCC.
  • Ensure reliable data delivery for reporting and analytics needs.
  • Document datasets, calculations, measures, and data lineage.
  • Enable self-service reporting for analysts and business users.
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