

Business Intelligence Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Analyst in Davie, FL, lasting 12+ months at a pay rate of "unknown." Requires Power BI Fabric Certification, PL300 & Python certifications, and experience in the Pharmaceutical industry. Master's or PhD in Data Science preferred.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
320
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ποΈ - Date discovered
July 30, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Davie, FL
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π§ - Skills detailed
#R #SQL (Structured Query Language) #Predictive Modeling #Data Analysis #Microsoft Power BI #Datasets #ML (Machine Learning) #PyTorch #Data Science #TensorFlow #Data Engineering #Python #Semantic Models #Visualization #Programming #BI (Business Intelligence)
Role description
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Title: Data Engineer II
Location: Davie, FL
Duration: 12+ months with possibility of extension on W2
Temp to perm: Based on openings and performance 100% Onsite position
Shift: Monday - Friday 8:00 AM - 5:00 PM, 40 hours a week
Note: It is only for W2 strictly. Do not apply if you are looking for C2C or on STEM OPT. also need only local candidates.
Core Essential skill sets candidates must have:
β’ Must have Power BI Fabric Certification.
β’ Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
β’ Must have PL300 & Python certifications.
β’ Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
β’ Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
Education:
β’ Master's or PhD in Data Science - College fresh or with one year experience in Pharmaceutical experience using Power BI.
Job Description:
β’ Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
β’ Predictive Modeling: Develop and implement predictive models to define process performance.
β’ Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
β’ Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
β’ Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.