EPITEC

Business Intelligence Senior Associate

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Senior Associate in Dearborn, Michigan, on a W2 contract for 40 hours per week, paying $40-45 per hour. Key skills include Power BI, SQL, Python, and cloud-based analytics, with experience in data modeling and stakeholder engagement required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
360
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🗓️ - Date
April 24, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Dearborn, MI
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🧠 - Skills detailed
#Data Quality #AI (Artificial Intelligence) #Data Engineering #Data Modeling #GCP (Google Cloud Platform) #Scala #SQL (Structured Query Language) #R #Data Management #Visualization #BI (Business Intelligence) #Python #Automation #Cloud #Data Science #Qlik #Microsoft Power BI #Data Analysis #BigQuery
Role description
Job Title: Senior Business Intelligence Associate Location: Dearborn, Michigan Job Type: W2 Contract Expected hours per week: 40 hours Schedule: Hybrid 4 days onsite / 1 day remote Pay Range: $40-45 an hour Job Description This role focuses on designing and delivering scalable analytics and business intelligence solutions that enable data?driven decision?making. The individual partners closely with business and technical teams to define metrics, build dashboards, and perform deep?dive analyses using modern BI, cloud, and data tools. Success in this role requires strong analytical skills, stakeholder engagement, and hands?on experience with data modeling, visualization, and cloud-based analytics platforms. Key Responsibilities / Tasks • Design, build, and maintain complex dashboards and reports using Power BI, Qlik, or similar BI tools • Partner with stakeholders to gather requirements and translate business needs into analytics solutions • Perform data analysis, validation, and optimization using SQL (preferably BigQuery), Python, or R • Develop and document data models, metrics, and KPI definitions to ensure consistency and adoption • Conduct deep?dive analyses to identify business insights, issues, and improvement opportunities • Collaborate with Data Engineering, Data Science, and Data Management teams to improve data quality and usability • Support cloud-based analytics solutions on GCP, including cost?effective data operations and pipelines • Implement quality checks, error handling, and peer reviews to ensure accurate and reliable analytics • Propose enhancements to existing analytics, reports, and processes using automation or AI where appropriate Benefits: Medical, Dental, Vision, PTO & 401K #INDOEM