At a Glance
- Tasks: Lead data analysis and create insightful dashboards to support strategic decisions.
- Company: Dynamic organisation undergoing transformation with a focus on data integration.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and data quality.
- Why this job: Make a real impact during a significant transformation and influence data strategy.
- Qualifications: Strong experience in SQL, Python, Tableau, and cloud-based data platforms.
The predicted salary is between 45000 - 55000 € per year.
We’re partnering with a growing organisation undergoing a major business transformation following a recent acquisition, and they’re looking for a skilled Senior Data Analyst to join their expanding Data & Insight team on a 12-month fixed-term contract. This is a high-impact role where you’ll help shape how data is integrated, analysed and trusted across the business during a critical period of change.
Working closely with senior stakeholders, data engineering and BI teams, you’ll deliver meaningful insights that support strategic decision-making and long-term reporting consistency.
- Lead analysis to align and reconcile data across legacy and newly acquired systems
- Develop and maintain insightful, high-quality dashboards using Tableau
- Collaborate with Data Engineering, BI and technical teams on integration and reporting solutions
- Deliver KPI reporting, statistical analysis, data quality assurance and ad-hoc insight work
- Strong experience in data analysis and reporting using SQL, Python and Tableau (or similar BI tools)
- Experience working with cloud-based data platforms such as Databricks or Snowflake
- Proven ability to work with multiple data sources and complex datasets
- Strong analytical mindset with a focus on data quality and business impact
Opportunity to influence a major data integration programme in a collaborative, forward-thinking data environment. Chance to make a measurable impact during a significant transformation journey.
If you’re an experienced analyst who enjoys solving complex business problems through data and thrives in change environments, we’d love to hear from you.
Data Analyst - Data Analityk in Bristol employer: Levick Stanley
Join a dynamic and forward-thinking organisation in Bristol, where your expertise as a Senior Data Analyst will play a pivotal role in shaping data integration and analysis during a transformative period. With a collaborative work culture that values innovation and employee growth, you'll have the opportunity to make a significant impact while enjoying competitive salary and benefits. This is an excellent employer for those seeking meaningful work in a supportive environment that fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Data Analityk in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and any cool insights you've delivered. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with SQL, Python, and Tableau, and think about how you can demonstrate your analytical mindset during the conversation.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Analyst - Data Analityk in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Python, and Tableau, and don’t forget to mention any work with cloud-based platforms like Databricks or Snowflake. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your analytical mindset can contribute to our data integration programme. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Impact:When detailing your past experiences, focus on the impact you made in previous roles. Did you deliver insights that influenced decision-making? Did you improve data quality? We want to know how you’ve made a difference, so be specific!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Levick Stanley
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and Tableau skills before the interview. Be ready to discuss specific projects where you've used these tools to deliver insights or solve problems. This will show that you’re not just familiar with the tools, but that you can leverage them effectively in a real-world context.
✨Understand the Business Context
Research the company’s recent acquisition and how it might impact their data strategy. Being able to discuss how you can help integrate and analyse data during this transformation will demonstrate your proactive approach and understanding of the business landscape.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical data challenges or to explain how you would reconcile data across different systems. Practise articulating your thought process clearly, as this will showcase your analytical mindset and problem-solving skills.
✨Showcase Your Collaboration Skills
Since the role involves working closely with various teams, be prepared to share examples of how you’ve successfully collaborated with others in past roles. Highlight any experience you have working with data engineering or BI teams, as this will illustrate your ability to thrive in a collaborative environment.
