Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst in EdTech, offering £500 per day for a 3-month remote contract. Key skills include DAX, Power BI, SQL, and data modelling. A relevant degree or equivalent experience is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
500
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🗓️ - Date discovered
September 25, 2025
🕒 - Project duration
3 to 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Outside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#SQL (Structured Query Language) #Statistics #Data Science #Datasets #Databases #Data Analysis #Computer Science #DAX #Microsoft Power BI #SSAS (SQL Server Analysis Services) #Power Pivot #BI (Business Intelligence)
Role description
Data Analyst - EdTech - £500 per day Outside IR35 - Remote - 3 Month Contract The Role We are seeking a detail-oriented and analytical Data Analyst to join a global Education business. The ideal candidate will have strong skills in data modelling, reporting, and visualisation, with proven experience using DAX (Data Analysis Expressions) to deliver insights that drive business decisions. You will work closely with cross-functional teams to design and maintain dashboards, analyse large datasets, and translate complex data into actionable strategies. Key Responsibilities • Develop and maintain interactive dashboards and reports in Power BI (or similar tools). • Write and optimize DAX formulas to create calculated columns, measures, and calculated tables. • Design and implement data models that support business requirements. • Perform advanced analysis, including time intelligence (e.g., YTD, rolling averages, growth calculations). • Collaborate with stakeholders to identify reporting needs and deliver actionable insights. • Ensure accuracy, consistency, and reliability of data across systems. • Document data processes, calculations, and business rules for knowledge sharing. Your Profile • Bachelor’s degree in Data Science, Computer Science, Business Analytics, Statistics, or related field (or equivalent experience). • Strong proficiency in Power BI, Power Pivot, or SSAS Tabular. • Demonstrated expertise in DAX (Data Analysis Expressions), including filter and row context, context transition, and advanced calculations. • Solid understanding of relational databases and SQL. • Strong analytical, problem-solving, and communication skills. • Ability to work with stakeholders to define KPIs and translate business needs into data solutions.