Insight International (UK) Ltd

Technical Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Technical Data Analyst contract in Sheffield, UK, offering a pay rate of "X" for "Y" months. Key skills include SQL, Excel, and statistical analysis, with preferred knowledge in R, Python, and BI tools.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
April 17, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Sheffield, England, United Kingdom
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🧠 - Skills detailed
#Data Analysis #Databases #Data Integrity #Mathematics #Documentation #R #Database Management #Visualization #Tableau #Microsoft Power BI #Statistics #Python #BI (Business Intelligence) #SQL (Structured Query Language)
Role description
Role Title: Technical Data Analyst Location: Sheffield, UK (Hybrid) Hiring type: Contract The Opportunity: (Brief Overview of the Role) The Data Analyst will collect, interpret and visualize complex data sets to provide actionable business insights. Identifying trends, patterns, and correlations to aid decision-making. It will also include retrospective documentation of existing data flows to provide transparent and easily consumable documentation / artefacts. Key Responsibilities • Data Collection: Gathering data from various sources and ensuring data integrity (often 60-70% of the role). • Analysis & Modelling: Utilizing statistical methods to interpret data sets and identify trends, patterns, or anomalies. • Reporting & Visualization: Where necessary supporting the development of automating reports and interactive dashboards (e.g., Tableau, Power BI), including validation of output. • Stakeholder Collaboration: Communicating technical findings to non-technical audiences to support strategic decision-making. • Database Management: Querying databases using SQL and optimizing data collection processes. What you will need to succeed in the role: (Minimum Qualification and Skills Required) • Technical Skills: Proficiency in SQL and Excel is essential; knowledge of R, Python, or specialized BI tools is highly preferred. • Analytical Thinking: Strong problem-solving skills to understand the "why" behind the data. • Mathematics & Statistics: Solid understanding of statistical analysis. Communication: Ability to present data insights clearly to stakeholders.