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- Tasks: Lead data analysis and drive AWS migration to modernise data usage.
- Company: Join a transformative organisation focused on cloud-first data strategies.
- Benefits: Hybrid working, strong leadership support, and clear career progression.
- Why this job: Shape the future of data and make a real impact in a growing team.
- Qualifications: 5+ years as a Data Analyst, strong SQL skills, and AWS familiarity.
- Other info: Opportunity to mentor junior analysts and foster a high-performing culture.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for a Lead Data Analyst who can play a pivotal role in modernising how an organisation uses data, helping guide the move from legacy systems into a cloud-first AWS environment. This is a hands‑on, high-impact position within a growing Technology & Change team, where you’ll help define how data is captured, structured, and used across the business. As the data function expands, this role will naturally develop into a Team Lead position, giving you the opportunity to mentor analysts and help shape the long-term data strategy.
What you’ll be doing
- You’ll act as a data champion across the organisation uncovering insights, supporting key stakeholders, and contributing to the build-out of a scalable AWS data platform.
- The work blends analytics, insight generation, data mapping, and workflow design, rather than deep data engineering.
- You’ll work hands‑on across the AWS stack/tools to help onboard, transform, and organise datasets as they migrate away from legacy systems.
- A key part of the role is turning previously unstructured or unmapped data into something reliable, accessible, and valuable.
- Collaboration is at the core of the role. You’ll partner with teams across Operations, Finance, and IT — translating business questions into actionable analysis, building dashboards that support decision‑making, and presenting findings that influence outcomes.
- Your SQL and Python skills will help you dig into datasets, identify trends, troubleshoot data quality issues, and shape how new data flows into the platform.
- You’ll also contribute to the light architectural and governance side, documenting data lineage, standardising workflows, and supporting the development of strong data governance as the AWS environment scales.
- As the team grows, you'll help foster a high-performing, insight-led culture — mentoring junior analysts, driving best practices, and setting the standard for data quality and consistency.
What you’ll bring
- 5+ years as a Data Analyst / Senior Data Analyst
- Strong SQL and solid understanding of modern data flows and structures
- Hands‑on familiarity with AWS cloud/data tools
- Experience mapping, transforming, and onboarding new datasets
- Ability to work across both legacy and cloud environments
- Excellent communication skills — comfortable working with technical and non-technical audiences
- Experience with BI tools such as Power BI, Tableau, or QuickSight
- A proactive, curious mindset with a passion for turning data into genuine insight
You’ll join an organisation undergoing a major transformation — modernising its data landscape and shifting fully onto AWS. You’ll work directly with the latest AWS tools, help define data standards, influence architecture, and gain clear progression into a leadership role. With hybrid working (typically one day a week or every other week on‑site) and strong support from senior leaders, it’s a standout opportunity for someone who wants both impact and progression. If you're ready to take ownership of how data is used and help build a cloud-first, insight-driven culture, we’d love to hear from you.
Lead Data Analyst – Shape the Future. Drive the AWS Migration. Turn Data Into Insight. Lead the Way. in Burntwood employer: Nixor
Contact Detail:
Nixor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst – Shape the Future. Drive the AWS Migration. Turn Data Into Insight. Lead the Way. in Burntwood
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your SQL and Python projects. This gives potential employers a taste of what you can do with data.
✨Tip Number 3
Prepare for interviews by practising common data analysis questions. Think about how you’d explain complex concepts to non-technical folks, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Lead Data Analyst – Shape the Future. Drive the AWS Migration. Turn Data Into Insight. Lead the Way. in Burntwood
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Lead Data Analyst role. Highlight your experience with SQL, AWS tools, and any relevant projects that showcase your ability to turn data into insights. We want to see how you can shape the future with your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how your background aligns with our mission. Mention specific experiences where you've driven change or improved processes using data.
Showcase Your Collaboration Skills: Since collaboration is key in this role, share examples of how you've worked with different teams in the past. Whether it's translating business questions into actionable analysis or mentoring others, we want to know how you foster teamwork.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Nixor
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and experiences with data analysis. Be ready to discuss specific examples where you transformed unstructured data into valuable insights, especially in AWS environments. This will show your hands-on experience and understanding of modern data flows.
✨Brush Up on SQL and Python
Make sure you're comfortable with SQL queries and Python scripts. Prepare to demonstrate your skills during the interview, perhaps by solving a data-related problem or discussing how you've used these tools to troubleshoot data quality issues in previous roles.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated with both technical and non-technical stakeholders. Highlight any instances where your insights influenced decision-making or helped shape data strategies.
✨Prepare Questions About Their Data Strategy
Demonstrate your interest in the company's future by preparing thoughtful questions about their data governance and AWS migration strategy. This not only shows your proactive mindset but also your passion for contributing to an insight-driven culture.
