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Power BI Sr. Developer

Job in Glenwood, Wheeler County, Georgia, 30428, USA
Listing for: GlobalPoint
Full Time position
Listed on 2026-04-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Warehousing, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Glenwood

Title: Power BI Sr. Developer

Location: Atlanta, GA

Duration: Long Term

Responsibilities
  • Design, develop, and optimize Power BI semantic models using best‑practice dimensional modeling techniques (star schema, snowflake, dataflows, shared datasets).
  • Build enterprise-grade datasets with proper relationships, hierarchies, calculation groups, and incremental refresh.
  • Collaborate with data engineering teams to define data requirements, improve data quality, and ensure model scalability and maintainability.
  • Implement data modeling standards that support self‑service analytics and governed data access.
  • Advanced DAX Programming
  • Develop complex DAX measures, calculated columns, and tables to support business logic, KPIs, and analytical insights.
  • Optimize DAX for performance, readability, and maintainability across large datasets.
  • Troubleshoot calculation issues and ensure accuracy and consistency across reports and dashboards.
  • Implement row-level and object-level security (RLS/OLS) within the semantic model.
  • Visualization & Dashboard Development
  • Build intuitive, visually compelling Power BI dashboards that communicate insights clearly and effectively.
  • Apply data visualization best practices and data storytelling techniques to support decision‑making.
  • Create interactive features such as drill-throughs, bookmarks, custom visuals, and parameterized reports.
  • Ensure dashboards meet accessibility, usability, and design standards.
  • SQL Development (Oracle & SQL Server)
  • Write efficient, well‑structured SQL queries, stored procedures, and views to support BI data pipelines.
  • Perform data profiling, validation, and transformation using SQL in both Oracle and SQL Server environments.
  • Collaborate with DBAs and data engineers to optimize query performance and ensure data integrity.
  • Power BI Administration & Governance
  • Manage Power BI Service components including work spaces, datasets, data gateways, refresh schedules, and capacity utilization.
  • Support governance initiatives such as dataset certification, naming conventions, documentation, and version control.
  • Monitor performance, troubleshoot refresh failures, and optimize dataset size and gateway performance.
  • Assist with tenant-level administration including user access, licensing, and compliance with organizational policies.
  • Collaboration & Stakeholder Engagement
  • Work closely with business stakeholders to gather requirements and translate them into scalable BI solutions.
  • Provide guidance and support to self‑service BI users across the organization.
  • Document data models, DAX logic, SQL scripts, and report specifications.
  • Participate in Agile or project‑based workflows to support continuous improvement of BI capabilities.
Required Qualifications
  • 4‑years Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field.
  • 5+ years of hands‑on Power BI development experience.
  • Strong expertise in:
    • Semantic modeling (star schema, dataflows, composite models)
    • Advanced DAX programming
    • Power Query (M language)
    • Power BI Desktop and Power BI Service
  • Solid SQL development experience in both Oracle and SQL Server.
  • Experience with Power BI administration, including gateways, RLS/OLS, workspace governance, and capacity management.
  • Strong understanding of relational and dimensional modeling concepts.
  • Ability to communicate complex technical concepts to non‑technical audiences.
Preferred Skills
  • Familiarity with Oracle Business Intelligence (OBIEE) Semantic model (RPD), interactive reports and dashboard.
  • Knowledge of enterprise data governance frameworks.
  • Experience working with large, complex data sets in a multi‑system environment.
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