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- 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.
- Why this job: Join a dynamic team and shape the future of data analytics.
- Qualifications: Experience in data analysis, Power BI, and SQL required.
- Other info: Work autonomously with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 ÂŁ 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
Contact Detail:
Dynamic Search Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Contract (Outside IR35)
✨Tip Number 1
Network like a pro! Reach out to industry experts and former colleagues on LinkedIn. A personal connection can often get your foot in the door faster than any application.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and data projects. This visual evidence of your capabilities can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling skills. Be ready to discuss how you've transformed data environments in the past, as this will be key for the role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Analyst - Contract (Outside IR35)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Analyst. Highlight your experience with Power BI, SQL, and any transformation-led projects you've been part of. We want to see how you can help us move towards that modern, AI-driven analytics capability!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your skills align with our mission. Don’t forget to mention your experience in logistics or similar environments – it’ll make you stand out to us.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving predictive analytics or AI, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back on sharing your successes!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, we can't wait to hear from you!
How to prepare for a job interview at Dynamic Search Solutions
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data transformation and analytics. Be ready to discuss specific projects where you’ve successfully moved from traditional BI to modern analytics. Highlight your role in designing Power BI dashboards and how they provided actionable insights.
✨Showcase Your Technical Skills
Make sure you can confidently talk about your advanced Power BI skills, SQL expertise, and any experience with cloud platforms like Azure or AWS. Prepare examples that demonstrate your ability to handle large datasets and optimise performance, as these are crucial for the role.
✨Engage with Stakeholders
Since this role involves working closely with various stakeholders, be prepared to discuss how you’ve effectively communicated complex data challenges and solutions in the past. Share examples of how you’ve collaborated with teams across operations, finance, and technology to drive analytics initiatives.
✨Understand the Bigger Picture
Familiarise yourself with the logistics and supply chain industry, as well as the importance of data governance and quality frameworks. Being able to connect your technical skills to the broader business objectives will show that you’re not just a data analyst, but a strategic partner in driving insights and decision-making.
