APN Consulting Inc.

Business Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Engineer in Jersey City, NJ, on a contract basis. Requires 5+ years in BI, proficiency in Power BI and Python, and experience in SQL databases. On-site work with a focus on finance industry experience preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
April 14, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Data Integration #MySQL #SQL Server #GIT #Scripting #Databases #Visualization #Migration #NumPy #Pandas #DAX #SQL (Structured Query Language) #BI (Business Intelligence) #Database Migration #Python #Data Pipeline #PostgreSQL #Microsoft Power BI #GitHub #Scala
Role description
Job Title: Business Intelligence Engineer Location: Jersey City NJ Contract Job summary: This is Associate BI Engineer role in Corporate Services Technology. This is a hands-on role where candidate will work closely with team leads and will have opportunities to learn different domain and skills under their mentorship. Key responsibilities β€’ Application development and testing, building data integrations between systems, troubleshooting issues, and collaborating with cross‑functional teams to ensure high‑quality technical delivery β€’ Hands-on Experience in designing reports/dashboards using Power BI. β€’ Hands-on experience in creating data models in Power BI. β€’ Design, develop, and maintain scalable applications and data pipelines using Python β€’ Troubleshoot, debug, and enhance existing applications and dashboards β€’ Experience with Git/GitHub. β€’ Assist in database migrations, upgrades, and patching. β€’ Support month end and quarter end processes β€’ Document process workflows, data flow diagrams Required Qualifications: β€’ 5+ years of industry experience β€’ Proficiency in Power BI, including dashboard creation, DAX, and data visualization best practices β€’ Strong hands-on experience with Python (e.g., pandas, NumPy, APIs, scripting) β€’ Experience working with relational databases (e.g., SQL Server, PostgreSQL, MySQL) and in SQL (writing queries, joins, aggregations, stored procedures) β€’ Strong problem-solving and analytical skills Preferred Qualifications Experience working in the finance industry.