At a Glance
- Tasks: Transform data environments and deliver AI-driven analytics solutions.
- Company: Leading logistics organisation driving data and analytics transformation.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Other info: Work autonomously with a focus on innovation and collaboration.
- Why this job: Join a dynamic team and shape the future of data analytics.
- Qualifications: Experience in data analysis, Power BI, and SQL required.
The predicted salary is between 36000 - 60000 £ per year.
Connecting Industry Experts with IT Transformation Delivery Projects at Dynamic Search Solutions and Herd Digital.
Location: Remote (occasional UK travel)
Eligibility: UK Residents only (data sensitivity)
The Company: A leading logistics organisation is embarking on a major data and analytics transformation, moving away from traditional, reactive BI reporting towards a modern, AI-driven and insight-led analytics capability. This role requires an experienced Data Analyst who has previously helped transform data environments and can enable forward‑looking insight, forecasting, and proactive decision‑making.
Responsibilities
- Support the shift from traditional BI to a modern, AI-ready analytics platform
- Design and deliver Power BI dashboards focused on trends, forecasting, and operational insight rather than historic reporting
- Work with stakeholders across operations, finance, and technology to understand data challenges and define analytics solutions
- Transform, model, and optimise data to improve quality, consistency, and usability
- Enable predictive and proactive analytics to support demand planning, performance forecasting, and decision‑making
- Collaborate with data engineers and AI specialists to ensure analytics outputs are scalable and future‑proof
- Contribute to best practices around data governance and data quality
Skills & Experience
- Proven experience as a Data Analyst on transformation‑led programmes
- Strong experience moving organisations away from reactive BI towards proactive, insight‑driven analytics
- Advanced Power BI experience (DAX, data modelling, performance optimisation)
- Strong SQL skills with experience handling large, complex datasets
- Experience supporting or enabling forecasting, predictive analytics, or AI use cases
- Excellent stakeholder engagement and communication skills
- Comfortable working autonomously in a contract environment
- Experience with cloud data platforms (Azure, Snowflake, Databricks, AWS, etc.)
- Exposure to Python or R for data analysis or advanced analytics
- Experience working in logistics, supply chain, or similar operational environments
- Understanding of data governance and data quality frameworks
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: IT Services and IT Consulting
Data Analyst - Contract (Outside IR35) employer: Dynamic Search Solutions
Dynamic Search Solutions is an exceptional employer, offering a vibrant work culture in the heart of London where innovation and collaboration thrive. With a strong commitment to employee growth, the company provides funded training and opportunities for advancement into project management or technical leadership roles, ensuring that every team member can reach their full potential while working on exciting AV installation projects.
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We think this is how you could land Data Analyst - Contract (Outside IR35)
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We think you need these skills to ace Data Analyst - Contract (Outside IR35)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dynamic Search Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
