Indotronix International Corporation

Business Intelligence Consultant

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Consultant in Newark, NJ, for 6 months (possible extension), with a pay rate on W2. Key skills include Power BI, SQL, DAX, and utility industry experience. A Bachelor's degree and 9+ years in BI are required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
October 31, 2025
πŸ•’ - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
πŸ“„ - Contract
W2 Contractor
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Newark, NJ
-
🧠 - Skills detailed
#Data Storytelling #Data Analysis #BI (Business Intelligence) #Computer Science #ADF (Azure Data Factory) #Data Lake #"ETL (Extract #Transform #Load)" #Storytelling #Strategy #Azure Data Factory #Azure #DAX #Synapse #Microsoft Power BI #Visualization #Data Modeling #SQL (Structured Query Language)
Role description
Job Title: Senior Power BI Data Visualization Lead Location: Newark, NJ (Hybrid – Local or willing to travel as needed) Duration: 6 Months (Possible Extension) Need local candidates who can work on W2 Key Responsibilities: Design and develop advanced Power BI dashboards for operational, regulatory, and performance analytics. Lead BI strategy, governance, and visualization standards across the enterprise. Build optimized data models, DAX calculations, and Power Query transformations. Integrate Power BI with systems such as Maximo, GIS, ADMS/OMS, CIS, and data lakes. Automate recurring reporting processes and enhance data reliability. Mentor junior developers and promote data-driven decision-making. Present analytical insights to executives and stakeholders. Qualifications: Bachelor’s in Data Analytics, Computer Science, or related field (or equivalent experience). 9+ years in BI/analytics; 5+ years hands-on Power BI development. Proven experience in utility industry reporting (electric, gas, or water). Strong skills in SQL, DAX, data modeling, and data warehousing. Excellent communication and data storytelling skills. Preferred: Microsoft Power BI Data Analyst (PL-300) certification. Experience with Azure Data Factory, Synapse, or Microsoft Fabric. Familiarity with utility systems (Maximo, GIS, ADMS/OMS, CIS, SCADA).