

Experis UK
Brands Lead Analyst - Visualisation & Automation
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Brands Lead Analyst - Visualisation & Automation for 6 months in London (3 days onsite weekly), paying "pay rate". Key skills include Power BI (DAX, Power Query), SQL, and PySpark, with retail experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 23, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#PySpark #Microsoft Power BI #SQL (Structured Query Language) #Base #Data Pipeline #Spark (Apache Spark) #Automation #DAX #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Data Processing
Role description
• Location: London (3 days in the office per week)
• Duration: 6 months, with potential extension up to a year or more
• Start date: ASAP
UMBRELLA ONLY
Are you passionate about transforming complex data into clear, actionable insights? Our client, a reputable retail organisation based in London, is hiring for a talented Brands Lead Analyst - Visualisation & Automation on a temporary basis. This is a fantastic opportunity to work within a dynamic team, delivering impactful reporting solutions that drive business performance.
What You'll Be Doing
• Building, maintaining, and continuously improving an analytical reporting suite in Power BI tailored for the Brands team.
• Collaborating closely with stakeholders to gather and interpret reporting requirements, ensuring solutions meet their needs.
• Developing visually engaging, efficient, and user-friendly reports that serve a demanding user base.
• Creating and automating analytical pipelines using Power BI (DAX, Power Query), SQL, and PySpark to optimise data processing and reporting.
• Integrating diverse data sources into a central environment, providing real-time insights into customer, financial, and operational metrics.
• Managing the overall direction of reporting development, ensuring accuracy, consistency, and clarity.
• Playing an active role in onboarding new data sources and making necessary data corrections in collaboration with the Data Domain Lead.
• Presenting final solutions clearly to stakeholders, promoting understanding and utilisation of reports.
What You'll Bring
• Strong expertise in Power BI, including DAX and Power Query, with a keen eye for detail.
• Proficiency in analytical languages such as SQL and PySpark.
• Deep understanding of operational systems and data flows within a retail or brand-focused environment.
• Experience in building and automating complex data pipelines and reports.
• Excellent stakeholder engagement skills, with the ability to translate business needs into technical solutions.
• A proactive approach to problem-solving and continuous improvement.
• Ability to work effectively in a collaborative, fast-paced setting.
Ideal Candidates Will Have
• A solid understanding of the Brands operational environment
• Experience in analytical engineering and report development
• Strong communication skills to effectively present findings and solutions
If you're ready to make an impact with your data expertise and enjoy working in a vibrant team, we'd love to hear from you. Apply now to join a forward-thinking organisation committed to innovation and excellence.
If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
• Location: London (3 days in the office per week)
• Duration: 6 months, with potential extension up to a year or more
• Start date: ASAP
UMBRELLA ONLY
Are you passionate about transforming complex data into clear, actionable insights? Our client, a reputable retail organisation based in London, is hiring for a talented Brands Lead Analyst - Visualisation & Automation on a temporary basis. This is a fantastic opportunity to work within a dynamic team, delivering impactful reporting solutions that drive business performance.
What You'll Be Doing
• Building, maintaining, and continuously improving an analytical reporting suite in Power BI tailored for the Brands team.
• Collaborating closely with stakeholders to gather and interpret reporting requirements, ensuring solutions meet their needs.
• Developing visually engaging, efficient, and user-friendly reports that serve a demanding user base.
• Creating and automating analytical pipelines using Power BI (DAX, Power Query), SQL, and PySpark to optimise data processing and reporting.
• Integrating diverse data sources into a central environment, providing real-time insights into customer, financial, and operational metrics.
• Managing the overall direction of reporting development, ensuring accuracy, consistency, and clarity.
• Playing an active role in onboarding new data sources and making necessary data corrections in collaboration with the Data Domain Lead.
• Presenting final solutions clearly to stakeholders, promoting understanding and utilisation of reports.
What You'll Bring
• Strong expertise in Power BI, including DAX and Power Query, with a keen eye for detail.
• Proficiency in analytical languages such as SQL and PySpark.
• Deep understanding of operational systems and data flows within a retail or brand-focused environment.
• Experience in building and automating complex data pipelines and reports.
• Excellent stakeholder engagement skills, with the ability to translate business needs into technical solutions.
• A proactive approach to problem-solving and continuous improvement.
• Ability to work effectively in a collaborative, fast-paced setting.
Ideal Candidates Will Have
• A solid understanding of the Brands operational environment
• Experience in analytical engineering and report development
• Strong communication skills to effectively present findings and solutions
If you're ready to make an impact with your data expertise and enjoy working in a vibrant team, we'd love to hear from you. Apply now to join a forward-thinking organisation committed to innovation and excellence.
If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.






