Power BI Developer

Overview

Hybrid
$50 - $65
Contract - W2
Contract - 12 Month(s)

Skills

DAX
Dashboard
Data Analysis
Data Cleansing
Extract
Transform
Load
Microsoft Power BI
Data Warehouse
Data Modeling
SQL
Visualization
Power BI
Visulization
Investment
Capital Market
Data Governance

Job Details

Position: Power BI Developer

Location: Newark, NJ (Hybrid)

Hybrid - 2/3 days from Office

Exp 14+ Years

Contract 12+ Months

Domain- Investment Banking/Capital Market

Role Overview

We re looking for a Power BI Engineer who can transform raw data into actionable insights through compelling dashboards and reports. This role blends technical expertise with business acumen to support decision-making across departments.

Key Responsibilities

  • Design, develop, and maintain interactive Power BI dashboards and reports.
  • Collaborate with stakeholders to gather business requirements and translate them into data models.
  • Perform data extraction, transformation, and loading (ETL) from various sources.
  • Optimize performance of reports and datasets for scalability and responsiveness.
  • Implement row-level security and manage user access within Power BI.
  • Ensure data accuracy and integrity through validation and testing.
  • Provide training and support to end-users on Power BI features and best practices.

Required Skills

  • Proficiency in Power BI Desktop, Power BI Service, and DAX (Data Analysis Expressions).
  • Strong knowledge of SQL and relational databases.
  • Leverage Python for advanced data transformation, analytics, and automation within Power BI to enhance data modeling, visualization, and reporting capabilities.
  • Use Python scripts within Power BI for advanced data cleansing, transformation, statistical analysis, and automation to enhance dashboards and data models.
  • Experience with data modeling, data warehousing, and ETL processes.
  • Familiarity with Azure, SharePoint, or other Microsoft ecosystem tools.
  • Understanding of data governance, security, and compliance standards.
  • Bonus: Experience with Python, R, or other analytics tools.

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