Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data transformation and turn complex datasets into actionable insights.
- Company: Join a forward-thinking company at the forefront of data innovation.
- Benefits: Hybrid working, career progression, and a chance to shape data strategy.
- Why this job: Make a real impact on how data drives decisions across the business.
- Qualifications: 5+ years in data analysis with strong communication and analytical skills.
- Other info: Opportunity to mentor a growing analytics team and establish best practices.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Do you want to lead the way in transforming how a business uses data? Are you a seasoned analyst who thrives on turning complex datasets into clear, actionable insights and guiding business leaders to make data-driven decisions? This is a rare opportunity to join a company at the start of its AWS-powered data transformation, helping to define the data strategy and analytics culture from the ground up. We are looking for a Lead Data Analyst to join our fast-moving Technology & Change team. This is more than just analysis — it’s about standing confidently as a trusted adviser, influencing how data is collected, understood, and used across the business. AWS analytics experience is valuable, but your focus will be on analytics, insight generation, and strategic influence, with analytical engineering skills as a plus.
What You’ll Be Doing
- Analyse complex datasets — structured and unstructured — to deliver actionable insights for operational, commercial, and strategic decision‑making.
- Map the current data landscape and communicate what data exists, its quality, and how it can be used effectively.
- Build credibility with stakeholders across the business, from team leaders to senior executives, guiding decisions on analytics priorities, opportunities, and risks.
- Design analytical data models, dashboards, and visualisations (Power BI, QuickSight, Tableau) that turn complex information into clear insights.
- Support and influence the adoption of AWS analytics tools (Redshift, Glue, Athena, LakeFormation, DataBrew), ensuring data is accessible, reliable, and insight‑ready.
- Mentor and grow the analytics function, establishing best practices, standards, and frameworks for data use across the business.
- Plan, structure, and optimise analytical workflows to ensure consistent, reliable data is available for decision‑making.
- Collaborate with data engineers and other technical teams, keeping the focus on analytics and insight.
This role requires someone who can work independently, influence senior stakeholders, and drive a culture of data literacy across the business. Your insights will directly shape the organisation’s decisions and data strategy.
Who We’re Looking For
- 5+ years’ experience as a Data Analyst, Senior Analyst, or equivalent role in multi‑source, complex data environments.
- Strong experience with structured and unstructured data, turning raw information into actionable insights.
- Ability to translate business questions into clear analytical outputs and communicate insights effectively to both technical and non‑technical stakeholders.
- Experience with BI and visualisation tools: Power BI, QuickSight, Tableau, or equivalent.
- Familiarity with AWS environment and some analytics services (Redshift, Glue, Athena, LakeFormation, DataBrew) is highly desirable.
- Experience designing analytical data models and planning end‑to‑end analytical workflows is a plus.
- Proven ability to improve maturity data environments, influencing stakeholders and setting standards.
- Strong communication and presentation skills, capable of establishing credibility quickly with senior leaders.
- Curious, proactive, and passionate about building a data‑driven culture.
Why Join
- Be at the heart of a business‑wide data transformation, helping shape how data is understood, accessed, and used across hundreds of sites.
- Gain hands‑on analytical experience while influencing the strategic direction of data use across the business.
- Build and mentor a growing analytics team, establishing standards, practices, and frameworks from the ground up.
- Career progression potential: this role can evolve into a Head of Data position, giving you the chance to lead and shape the organisation’s data strategy long‑term.
- Hybrid working – typically 1 day per week in the office, with flexibility.
- Work in a purpose‑driven environment where your insights and leadership have visible, real‑world impact.
Lead Data Analyst in Burntwood employer: Nixor
Contact Detail:
Nixor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst in Burntwood
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. Don’t just connect; engage with them. Ask questions about their experiences and share your insights. This can lead to referrals and insider info about job openings.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you showcase your experience and how you can add value as a Lead Data Analyst.
✨Tip Number 3
Showcase your skills through a portfolio! Create a few case studies or projects that highlight your analytical prowess. Use visualisation tools like Power BI or Tableau to present your findings. This gives potential employers a taste of what you can do.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get your application in and let’s transform data together!
We think you need these skills to ace Lead Data Analyst in Burntwood
Some tips for your application 🫡
Show Your Analytical Skills: When you’re writing your application, make sure to highlight your experience with complex datasets. We want to see how you've turned raw data into actionable insights before, so share specific examples that showcase your analytical prowess.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the job description. Mention your familiarity with AWS analytics tools and how you’ve influenced data strategies in previous roles — it’ll make you stand out!
Communicate Clearly: Remember, we’re looking for someone who can communicate insights effectively to both technical and non-technical stakeholders. Use clear language in your application to demonstrate your ability to translate complex concepts into understandable terms.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you’re serious about 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 involving complex datasets. Be ready to discuss specific examples where you turned raw data into actionable insights, especially in a multi-source environment. This will showcase your analytical prowess and ability to influence decision-making.
✨Master the Tools of the Trade
Familiarise yourself with the BI and visualisation tools mentioned in the job description, like Power BI, QuickSight, and Tableau. Prepare to demonstrate how you've used these tools to create impactful dashboards or reports that helped stakeholders understand data better.
✨Communicate Like a Pro
Practice explaining complex data concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so think about how you can convey your insights clearly and confidently during the interview.
✨Show Your Strategic Side
Be prepared to discuss how you've influenced data strategy in previous roles. Think about times when you've mapped out data landscapes or improved data maturity. Highlight your experience in mentoring others and establishing best practices, as this aligns with the role's focus on building a data-driven culture.
