Donatech Corporation

Business Intelligence Analyst Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Analyst Specialist, offering a W2 contract for "contract length" at a pay rate of "pay rate." Candidates must have a Bachelor's degree, 4+ years of experience, and proficiency in Power BI, SQL, and data pipeline development.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date
March 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Camden, NJ
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🧠 - Skills detailed
#AI (Artificial Intelligence) #ML (Machine Learning) #Scala #Process Automation #SQL (Structured Query Language) #Python #Microsoft Power BI #Palantir Foundry #Business Objects #Datasets #SAP #Automation #BI (Business Intelligence) #BO (Business Objects) #R #Data Pipeline #Looker #Data Science
Role description
Position would require the candidate to be a W2 employee of Donatech. US Citizenship Required. • Analytics & Insights: • Build dashboards and reports to support Business visibility and performance. • Analyze programmatic schedules, sourcing data, shop floor and financial information. • Provide data insights to support strategic and operational planning. • KPI Development & Performance Management: • Develop and maintain executive and program review chain KPIs real time visibility and decision making and streamlining ongoing reviews. • Support the measurement and evaluation of supply chain initiatives. • Systems, Pipelines & Process Optimization: • Enhance BI tools and systems (e.g., Power BI, Palantir Foundry, and other licensed tools). • Create and maintain scalable data pipelines to ensure reliable and sustainable data delivery. • Automate manual reporting processes as well as repetitive systems processes to drive efficiency, consistency and eliminate errors. • Collaboration & Business Partnership: • Partner closely with cross-functional teams across Program Management, Operations, Supply Chain and Finance. • Translate complex data into actionable insights for both technical and non-technical stakeholders. Qualifications • Bachelors Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. • BI, Analytics, Data Science Dashboarding, Business Intelligence, Process Automation or similar experiences are preferred. • Experience taking a vision from meeting with a stakeholder to determine requirements through proof of concept to project completion with stakeholder fully satisfied is a must. • Experience AI / ML such as Palantir Foundry • Advanced proficiency with Microsoft Office and Power Platform tools. • Experience with BI systems such as Power BI, Looker, SAP Business Objects, and Microsoft Fabric. • Strong SQL/ SQL backend skills; experience with Python, R is a plus. • Experience building and maintaining scalable data pipelines to support operational reporting and analytics. • Ability to synthesize complex datasets into clear, actionable insights. • Strong attention to detail, time management, and problem-solving skills. • Excellent communication and collaboration skills. Required Skills: • Enhanced BI Tools and Applications: Power BI, Palantir Foundry and Other Licensed Tools • SAP / SAP S4 Hana • BI, Analytics, Data Science Dashboarding, Business Intelligence, Process Automation or similar experiences are preferred. • Experience taking a vision from meeting with a stakeholder to determine requirements through proof of concept to project completion with stakeholder fully satisfied is a must. • Experience AI / ML such as Palantir Foundry • Advanced proficiency with Microsoft Office and Power Platform tools. • Experience with BI systems such as Power BI, Looker, SAP Business Objects, and Microsoft Fabric. • Strong SQL/ SQL backend skills; experience with Python, R is a plus. • Experience building and maintaining scalable data pipelines to support operational reporting and analytics. • Ability to synthesize complex datasets into clear, actionable insights. • Strong attention to detail, time management, and problem-solving skills. • Excellent communication and collaboration skills.