

Stott and May
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst in Manchester, UK (Hybrid) for 12 months at £425 per day. Key skills include SQL, Python, Power BI/Tableau, and strong analytical abilities. Experience with data governance and cross-functional teams is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
425
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🗓️ - Date
July 14, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Manchester, England, United Kingdom
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🧠 - Skills detailed
#Datasets #Automation #Data Analysis #Data Privacy #Trend Analysis #Microsoft Power BI #BI (Business Intelligence) #Python #Data Quality #Security #SQL (Structured Query Language) #Forecasting #SQL Queries #Data Governance #Tableau #Compliance
Role description
Data Analyst
Location: Manchester, UK (Hybrid – Tuesday, Wednesday & Thursday Onsite)
Day Rate: £425 per day (Inside IR35)
Contract Duration: 12 Months
Overview
We are supporting a leading global organisation in their search for an experienced Data Analyst to join their European data function on a 12-month contract.
This role will play a key part in supporting strategic business initiatives through data-driven insights, reporting, and analytics. Working closely with business and technology stakeholders, you will help deliver new data capabilities, enhance reporting platforms, and provide analytical support for both strategic programmes and day-to-day business operations.
Key Responsibilities
• Collect, clean, validate, and analyse large datasets from multiple sources.
• Develop and maintain dashboards and reports using Power BI, Tableau, Excel, and other BI tools.
• Translate business requirements into analytical solutions and actionable insights.
• Perform exploratory data analysis (EDA) to identify trends, opportunities, and process improvements.
• Deliver ad hoc analysis to support business and operational decision-making.
• Monitor KPIs and provide regular reporting to key stakeholders.
• Develop and optimise SQL queries, data models, and reporting solutions.
• Identify and resolve data quality issues in collaboration with relevant teams.
• Support forecasting, trend analysis, and predictive modelling initiatives.
• Ensure compliance with data governance, security, and privacy standards.
• Document analytical methodologies, data definitions, and reporting processes.
• Present findings and recommendations to both technical and non-technical stakeholders.
• Drive continuous improvements through reporting automation and process optimisation.
Essential Skills & Experience
• Proven commercial experience as a Data Analyst.
• Strong SQL and Python skills for data querying and analysis.
• Experience building dashboards using Power BI and/or Tableau.
• Strong analytical and quantitative skills with the ability to interpret complex datasets.
• Experience translating business requirements into meaningful data solutions.
• Excellent problem-solving and critical thinking abilities.
• Strong stakeholder management and communication skills.
• Experience working with cross-functional business and technology teams.
• Proactive, self-motivated, and able to work independently in a fast-paced environment.
Desirable Skills
• Experience supporting enterprise data platform initiatives.
• Exposure to forecasting and predictive analytics.
• Understanding of data governance and data privacy principles.
• Experience automating reporting processes and workflows.
• Previous experience working within large, complex enterprise environments.
Data Analyst
Location: Manchester, UK (Hybrid – Tuesday, Wednesday & Thursday Onsite)
Day Rate: £425 per day (Inside IR35)
Contract Duration: 12 Months
Overview
We are supporting a leading global organisation in their search for an experienced Data Analyst to join their European data function on a 12-month contract.
This role will play a key part in supporting strategic business initiatives through data-driven insights, reporting, and analytics. Working closely with business and technology stakeholders, you will help deliver new data capabilities, enhance reporting platforms, and provide analytical support for both strategic programmes and day-to-day business operations.
Key Responsibilities
• Collect, clean, validate, and analyse large datasets from multiple sources.
• Develop and maintain dashboards and reports using Power BI, Tableau, Excel, and other BI tools.
• Translate business requirements into analytical solutions and actionable insights.
• Perform exploratory data analysis (EDA) to identify trends, opportunities, and process improvements.
• Deliver ad hoc analysis to support business and operational decision-making.
• Monitor KPIs and provide regular reporting to key stakeholders.
• Develop and optimise SQL queries, data models, and reporting solutions.
• Identify and resolve data quality issues in collaboration with relevant teams.
• Support forecasting, trend analysis, and predictive modelling initiatives.
• Ensure compliance with data governance, security, and privacy standards.
• Document analytical methodologies, data definitions, and reporting processes.
• Present findings and recommendations to both technical and non-technical stakeholders.
• Drive continuous improvements through reporting automation and process optimisation.
Essential Skills & Experience
• Proven commercial experience as a Data Analyst.
• Strong SQL and Python skills for data querying and analysis.
• Experience building dashboards using Power BI and/or Tableau.
• Strong analytical and quantitative skills with the ability to interpret complex datasets.
• Experience translating business requirements into meaningful data solutions.
• Excellent problem-solving and critical thinking abilities.
• Strong stakeholder management and communication skills.
• Experience working with cross-functional business and technology teams.
• Proactive, self-motivated, and able to work independently in a fast-paced environment.
Desirable Skills
• Experience supporting enterprise data platform initiatives.
• Exposure to forecasting and predictive analytics.
• Understanding of data governance and data privacy principles.
• Experience automating reporting processes and workflows.
• Previous experience working within large, complex enterprise environments.






