Holistic Partners, Inc

QlikView Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a QlikView Data Analyst on a 6-12+ month remote contract, requiring 5+ years in data analytics, strong Qlik Sense/QlikView skills, SQL expertise, and familiarity with cloud platforms. Industry experience in transportation or logistics is a bonus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 16, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Computer Science #Visualization #Anomaly Detection #AI (Artificial Intelligence) #SQL (Structured Query Language) #Qlik #API (Application Programming Interface) #Python #Scripting #Scala #"ETL (Extract #Transform #Load)" #Data Governance #ML (Machine Learning) #Data Architecture #Data Modeling #Forecasting #BI (Business Intelligence) #Databases #Documentation #AWS (Amazon Web Services) #QlikView #Data Engineering #Cloud #Data Layers #Data Integration #Data Analysis #Data Quality
Role description
Job Opportunity: Senior Data Analyst Location: 100% remote must work est hours Duration: 6-12+ month contract (could got upward to 2 years) or contract to hire – must relocate to be hired permanently. Key Responsibility • Design and maintain Qlik dashboards by building interactive Qlik Sense and QlikView applications • Translate business needs into visuals by converting requirements into clear KPIs and intuitive visualizations • Optimize Qlik performance by improving application scalability, speed, and user experience • Apply visualization best practices by ensuring consistent, intuitive, and standards‑aligned dashboard design • Develop augmented analytics features by incorporating automated insights, anomaly detection, and narrative summaries • Enable self‑service and conversational BI by supporting semantic layers and natural‑language query capabilities • Integrate AI and ML insights by incorporating forecasting, trend detection, and root‑cause analysis • Advance predictive and prescriptive analytics by helping stakeholders move beyond descriptive reporting • Collaborate on data integration initiatives by partnering with data engineering on Connected Data efforts • Build analytics‑optimized data models by creating structures suited for BI, reporting, and AI workloads • Perform data transformation and validation by standardizing and verifying data across multiple sources • Develop semantic data layers by defining reusable business logic for BI and AI tools • Support modern data architectures by contributing to lakehouse, cloud, and API‑driven data strategies • Monitor and improve data quality by tracking quality metrics across systems and pipelines • Identify and resolve data anomalies by diagnosing issues and recommending corrective actions • Support data governance by maintaining documentation, lineage, and governance standards • Ensure AI data readiness by validating reliability, explainability, and consistency for AI use cases • Develop trusted data products by contributing to standards for high‑quality, AI‑enabled reporting • Serve business stakeholders by acting as a primary contact for reporting and analytics needs • Support and enhance Qlik applications by troubleshooting issues and delivering improvements • Deliver analytics solutions by partnering with cross‑functional teams to prioritize and execute work • Educate users on analytics capabilities by training them on AI‑driven insights and self‑service tools • Evaluate emerging BI and AI technologies by piloting new tools to enhance decision‑making Required Skills: • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or related field • 5+ years of experience in data analytics or business intelligence roles • Strong expertise in Qlik Sense and/or QlikView development • Experience with data modeling, ETL processes, and relational databases (SQL) • Demonstrated knowledge of data quality principles and data governance • Strong analytical, problem-solving, and communication skills • Experience working in enterprise data integration environments • Familiarity with cloud data platforms (AWS preferred) • Experience with scripting languages or tools (Python, PowerShell, etc.) • Exposure to AI/ML concepts or augmented analytics platforms • Experience building or supporting semantic layers or metrics layers • Familiarity with natural language query tools, copilots, or conversational BI Bonus Skills: • Knowledge of transportation, logistics, or fleet data