Data Analyst

Data Analyst

Birmingham Part-Time 24000 - 33600 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse complex data sets and provide actionable insights to drive business decisions.
  • Company: Join Zurich, a leading global insurer committed to making a positive impact.
  • Benefits: Enjoy flexible working hours, a generous pension scheme, private medical insurance, and holiday options.
  • Why this job: Be part of a dynamic team that values creativity, diversity, and continuous improvement.
  • Qualifications: Experience in data analysis, SQL, and reporting platforms like Qlik or Power BI required.
  • Other info: Flexible location with offices across the UK; part-time and full-time options available.

The predicted salary is between 24000 - 33600 £ per year.

This role is available on a part-time, job-share or full-time basis. Salary: Circa £40,000 depending on experience plus an excellent benefits package. Location: Flexible – Offices in Swindon, Fareham, Manchester, Birmingham, Glasgow, and London.

We are seeking a detail-oriented and analytical Data Analyst to join our dynamic team. The ideal candidate will be responsible for analysing complex data sets, generating reports, and providing actionable insights that will drive business decisions. This role requires a strong understanding of data analysis techniques, statistical methods, and data visualisation tools.

What will you be doing?

  • Analyse data to inform problem statements and solution design, ensuring accuracy, completeness and integrity.
  • Perform analysis of the use of data across end to end business processes to understand end to end data impacts.
  • Collaborate with cross-functional teams to address business challenges and opportunities.
  • Identify data quality issues, investigate root causes and recommend corrective actions.
  • Contribute to our data governance journey by implementing and adhering to our data management best practice.
  • Collaborate with team members to enhance our data ecosystem, data models and related analytical capabilities.
  • Provide support for testing and business readiness activities to ensure the seamless delivery of change.

What are we looking for?

  • Evidence end-to-end experience of the project lifecycle and provide analysis across a range of projects or operational workstreams, including support for system testing and UAT.
  • Demonstrate an understanding of how data can shape business decisions.
  • Experience in working with data at a detailed level and understanding how data can be structured and utilised for reporting and analytics.
  • Excellent problem-solving skills and the ability to work with complex datasets.
  • Familiarity with databases and SQL.
  • Experience with one or more reporting platforms such as Qlik, Power BI, etc.
  • Attention to detail and a commitment to data accuracy and integrity.

What will you get in return?

We offer a wide range of employee benefits to ensure our people can choose what fits them and their life. Our benefits include a 12% defined non-contributory pension scheme, annual company bonus, private medical insurance, and the option to buy up to an additional 20 days or sell some of your holiday.

At Zurich, we aspire to be one of the most responsible and impactful businesses in the world and the best global insurer. Together we’re creating a brighter future for our customers, our people, and our planet. If you’re interested in working in a dynamic and challenging environment for a company that recognises and rewards your creativity, initiatives, and contributions - then Zurich could be just the place for you. Be part of something great.

Our Culture:

At Zurich, we’re particularly passionate about diversity and inclusion. We want our people to bring their whole selves to work and ensure everybody feels welcome, regardless of their background, beliefs, or culture. We place real importance on our people’s wellbeing from a physical, mental, social, and financial perspective. We’re committed to continuous improvement and provide access to a comprehensive range of training and development opportunities.

Data Analyst employer: Zurich 56 Company Ltd

At Zurich, we pride ourselves on being an exceptional employer, offering a flexible work environment across multiple locations including Swindon, Fareham, Manchester, Birmingham, Glasgow, and London. Our commitment to employee wellbeing is reflected in our comprehensive benefits package, which includes a generous pension scheme, private medical insurance, and ample opportunities for professional growth through continuous training. Join us in a culture that values diversity, inclusion, and the contributions of every team member, as we work together to create a brighter future for our customers and communities.
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Contact Detail:

Zurich 56 Company Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Familiarise yourself with the specific data analysis tools mentioned in the job description, such as SQL and reporting platforms like Qlik or Power BI. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness for the role.

✨Tip Number 2

Showcase your problem-solving skills by preparing examples of how you've tackled complex datasets in previous roles. Be ready to discuss these experiences during interviews, as they highlight your analytical thinking and ability to derive actionable insights.

✨Tip Number 3

Network with current or former employees of StudySmarter or similar companies. Engaging with them can provide you with valuable insights into the company culture and expectations, which can help you tailor your approach when applying.

✨Tip Number 4

Prepare to discuss your understanding of data governance and management best practices. This is a key aspect of the role, and demonstrating your knowledge in this area will set you apart from other candidates.

We think you need these skills to ace Data Analyst

Data Analysis Techniques
Statistical Methods
Data Visualisation Tools
SQL
Reporting Platforms (e.g., Qlik, Power BI)
Attention to Detail
Problem-Solving Skills
Data Quality Assessment
Root Cause Analysis
Data Governance Best Practices
Collaboration Skills
Understanding of Business Processes
Project Lifecycle Experience
Data Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role. Focus on your analytical abilities, familiarity with data visualisation tools, and any experience with SQL or reporting platforms like Qlik or Power BI.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your problem-solving skills and your understanding of how data can influence business decisions.

Showcase Your Analytical Skills: Provide examples in your application that showcase your ability to analyse complex datasets. Discuss any previous roles where you identified data quality issues or contributed to data governance initiatives.

Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of past collaborations. Describe how you worked with others to address business challenges and how your contributions led to successful outcomes.

How to prepare for a job interview at Zurich 56 Company Ltd

✨Showcase Your Analytical Skills

Prepare to discuss specific examples of how you've analysed complex data sets in the past. Be ready to explain your thought process and the tools you used, such as SQL or data visualisation platforms like Power BI.

✨Understand the Business Impact

Demonstrate your understanding of how data influences business decisions. Think about instances where your insights led to actionable changes and be prepared to share these stories during the interview.

✨Highlight Collaboration Experience

Since the role involves working with cross-functional teams, be ready to talk about your experience collaborating with others. Share examples of how you’ve worked together to solve problems or improve processes.

✨Emphasise Attention to Detail

Given the importance of data accuracy in this role, prepare to discuss how you ensure data integrity in your work. Mention any specific methods or practices you follow to maintain high standards in your analyses.

Data Analyst
Zurich 56 Company Ltd
Z
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