Sr BI Engineer (PowerBI)

This role is for a Sr BI Engineer (PowerBI) with a contract length of "unknown" and a pay rate of "$X/hour." Requires 5+ years in Power BI and SQL, 3+ years in Tableau, and strong experience in Python. Financial services experience preferred.

🌎 - Country

United States

💱 - Currency

$ USD

💰 - Day rate

Unknown

🗓️ - Date discovered

January 17, 2025

🕒 - Project duration

Unknown

🏝️ - Location type

Unknown

📄 - Contract type

Unknown

🔒 - Security clearance

Unknown

📍 - Location detailed

Secaucus, NJ

🧠 - Skills detailed

#Monitoring #Pandas #Consul #Data Warehouse #Datasets #Cloud #Consulting #Python #Snowflake #SQL (Structured Query Language) #Microsoft Power BI #API (Application Programming Interface) #Databases #Tableau #Visualization #Automation #Computer Science #SQL Server #BI (Business Intelligence) #Oracle

Role description

Senior Business Intelligence Engineer

Must Have:
• 5+ years of Power BI application development experience including visualizations, parameters, and report optimization
• 3+ years of Tableau application development experience, including visualizations, parameters, and report optimization
• 5+ years of hands-on SQL Experience
• 3+ years of working on Power BI or Tableau Administration Responsibilities (Permissions, Server Maintenance and upgrades, Monitoring)
• 3+ years working in Python, Pandas Data Frames, API-driven workflows.
• Expertise across multiple BI platforms and data visualization tools include Tableau and Power BI
• Strong experience with performance tuning business intelligence and database platforms for maximum performance in each technical configuration
• Expertise with multiple database platforms including relational databases (ie. SQL Server and Oracle) as well as cloud-based data warehouses such as Microsoft Fabric and Snowflake
• Experience with both server and desktop-based data visualization tools
• Expertise with managing and mining very large internal and external data sets
• Experience with sourcing external data sets to meet business needs
• Demonstrated experience with testing business hypotheses, asking the right questions to provoke thoughts from business users and ultimately using data to test and validate hypothesis
• Very strong experience with quickly building data visualization worksheets and dashboards to analyze, view and interpret data sets
• Hands-on experience with Python for building automations for business processes
• Demonstrated experience with using predictive, prescriptive and descriptive data analytics to test, question and solve business problems
• Have a consulting mindset when working with internal clients across multiple departments of the organization
• Ideally familiar with financial services datasets across investment, product and distribution functions.
• Bachelor’s degree in Computer Science or equivalent, with a strong preference in a Data-centric major.