Q1 Technologies, Inc.

Senior Tableau Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Tableau Specialist with a contract length of "unknown", offering a pay rate of "unknown". Key skills include 4–6 years of Tableau experience, strong SQL, and data modeling expertise. Familiarity with AI/ML outputs is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
July 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Pipeline #"ETL (Extract #Transform #Load)" #Scala #Snowflake #Tableau #ML (Machine Learning) #AI (Artificial Intelligence) #Databases #Knowledge Graph #Tableau Server #BigQuery #SQL (Structured Query Language) #Data Engineering #Data Warehouse #Data Quality #Redshift #Python #Cloud
Role description
Tableau JD Required Skills and Experience • 4–6 years of hands-on Tableau experience — complex dashboards, LOD expressions, calculated fields, and performance optimisation • Strong SQL skills and experience connecting Tableau to diverse sources — relational databases and cloud data warehouses (Snowflake, BigQuery, Redshift) • Solid understanding of data modelling — star schema, data blending, and extract vs. live connections for scalable, performant dashboards • Proven ability to translate complex and technical data, including ML model outputs, into clear business-friendly visual narratives • Exposure to visualising AI/ML outputs (predictions, confidence scores, anomaly flags) and familiarity with Tableau Server/Cloud or Python integration for advanced analytics Role / Services Responsibilities • Design, develop, and maintain interactive Tableau dashboards that surface insights from AI/ML models, knowledge graphs, and data pipelines for business stakeholders • Work closely with AI/ML and Knowledge Engineers to understand model outputs and translate them into actionable, easy-to-consume visualisations • Build and maintain well-structured data models as the single source of truth for reporting; collaborate with data engineers to resolve upstream data quality issues • Gather stakeholder reporting requirements, define KPIs, iterate on designs based on feedback, and document dashboard logic and metric definitions for maintainability