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Power BI

Listing for: Machine Learning Technologies, LLC
Full Time position Listed on 2026-11-08
Job specializations:
  • IT/Tech
    Data Engineering, Business Intelligence, Data Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60 - 66 USD Hourly USD 60.00 66.00 HOUR

Job Description & How to Apply Below

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:

US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Title:
Power BI

Location:
Charlotte, NC

Duration: 6 Months

Bill Rate: $63/hour (C2C)

Job Type: W-2, 1099, C2C

Client:
To Be Discussed Later

Work Authorization:

US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

We are seeking an experienced Senior Power BI & Data Analytics Consultant to support enterprise business intelligence, analytics, and reporting initiatives within the banking and financial services industry.

The ideal candidate will have strong hands-on experience designing and developing complex Power BI dashboards and enterprise reporting solutions, along with a solid understanding of cloud technologies, data architecture, and data engineering concepts. The candidate should be capable of understanding end-to-end data flows, working with cloud-based data pipelines, and translating complex business requirements into meaningful analytical insights.

Experience supporting banking technology organizations, particularly CIO or executive-level reporting functions, will be highly preferred.

Key Responsibilities:
  • Design, develop, and maintain complex Power BI dashboards, executive reports, and enterprise-level business intelligence solutions.
  • Translate business requirements into interactive dashboards, meaningful visualizations, and actionable reporting solutions.
  • Demonstrate a strong understanding of Power BI architecture, data modeling, relationships, DAX, and report performance optimization.
  • Work with CLOUD to understand cloud architecture, data pipelines, and enterprise data environments.
  • Understand end-to-end data flows, including data ingestion, transformation, integration, and reporting.
  • Collaborate with data engineering and cloud teams to ensure data accuracy, consistency, and reliability.
  • Utilize Python for general data analysis, automation, and data processing activities.
  • Apply dimensional modeling and business intelligence best practices to deliver scalable reporting solutions.
  • Support enterprise reporting initiatives and collaborate with business and technology stakeholders.
  • Understand observability concepts and contribute to data quality and reporting reliability initiatives.
Required Qualifications:
  • 5+ years of hands-on experience developing and implementing Power BI solutions
  • 3+ years of experience working with CLOUD
  • Strong experience designing and developing complex Power BI reports, dashboards, and enterprise reporting solutions.
  • Banking or financial services industry experience is required.
  • Strong understanding of data modeling, dimensional modeling, and business intelligence best practices.
  • Understanding of cloud architecture, data pipelines, data flows, and data engineering concepts

General working knowledge of Python for data analysis or automation.

Experience working with large-scale datasets and enterprise environments.

Excellent analytical, problem-solving, communication, and stakeholder management skills.

Preferred Qualifications:
  • Experience supporting CIO organizations, technology leadership, or executive-level reporting.
  • Experience working with Cloud-based data platforms and enterprise data pipelines.
  • Familiarity with observability, monitoring, and data quality practices.
  • Exposure to AI/ML technologies or AI-enabled analytics solutions.
  • Ability to work across business, analytics, cloud, and data engineering teams.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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