Senior Data Analyst - Qlik Analytics & AI-Driven Business Intelligence

Job Title: Senior Data Analyst – Qlik Analytics & AI-Driven BI

Location: 100% Remote (Must work EST hours)

Duration: 6–12+ Month Contract (Potential Extension up to 2 Years) or Contract-to-Hire

IV Process: Video Interview

Must relocate to be hired permanently

Position Overview

• Client is seeking a highly skilled Senior Data Analyst with deep expertise in Qlik Sense/QlikView development, data analytics, and modern business intelligence solutions. This individual will play a key role in transforming complex enterprise data into actionable insights that drive operational excellence and strategic decision-making.
• The ideal candidate will have strong experience in dashboard development, data modeling, data quality, and enterprise reporting, while also helping advance next-generation analytics initiatives including AI-enabled reporting, semantic data layers, conversational BI, and predictive analytics capabilities.

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Required Qualifications

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field.
• 5+ years of experience in Data Analytics, Business Intelligence, or related roles.
• Strong hands-on expertise with Qlik Sense and/or QlikView development.
• Experience with SQL, relational databases, data modeling, and ETL processes.
• Strong understanding of data quality management and data governance principles.
• Experience working within enterprise-scale data integration environments.
• Familiarity with cloud data platforms (AWS preferred).

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• Experience with scripting and automation tools such as Python, PowerShell, or similar.
• Exposure to AI/ML concepts, augmented analytics, or intelligent reporting platforms.
• Experience building or supporting semantic layers, metrics layers, or business data models.
• Familiarity with conversational BI tools, natural language querying, or AI copilots.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

• Experience within transportation, logistics, fleet management, or supply chain environments.
• Knowledge of modern analytics architectures, including lakehouse and cloud-native solutions.
• Experience supporting enterprise reporting modernization initiatives.