Data Analyst
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Data Analyst

Chichester Temporary 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Data Analyst to build and deliver BI and reporting solutions.
  • Company: Be part of a dynamic team focused on data-driven decision-making.
  • Benefits: Enjoy a collaborative environment and work with cutting-edge data technologies.
  • Why this job: Make a real impact on business decisions through your data insights.
  • Qualifications: Experience in data analysis, SQL Server, and creating compelling visualisations required.
  • Other info: This is a maternity cover position with opportunities for growth.

The predicted salary is between 28800 - 48000 £ per year.

We are looking for a Data Analyst (Maternity Cover) to join our clients team. In this role, you will be responsible for building and delivering BI, data, and reporting solutions. You will ensure that management information is readily accessible by designing and implementing business system improvements. Additionally, you will provide high-quality data visualizations and analysis to support evidence-based decision-making across the organization.

Key Responsibilities:

  • Identify, design, and implement business system and process improvements.
  • Develop and maintain business intelligence (BI) reports and dashboards.
  • Ensure data consistency, accuracy, and security across company systems.
  • Support stakeholders with data insights and visualizations to drive strategic decisions.
  • Act as a Database Administrator for MS SQL Server-based systems.

About You:

We’re looking for someone with:

  • Experience in data analysis, business intelligence, and database management.
  • Strong SQL Server administration and database development skills.
  • Ability to create compelling data visualizations and reports.
  • A problem-solving mindset with great attention to detail.
  • Experience working with stakeholders to translate business needs into data solutions.

Why Join?

  • A collaborative and supportive work environment.
  • Opportunities to work with cutting-edge data technologies.
  • The chance to make a real impact on business decisions through data-driven insights.

How to Apply: If you’re ready to take on this exciting role, apply now via this website.

Data Analyst employer: Redfox Executive Selection Ltd

Join a forward-thinking company that values collaboration and innovation, where as a Data Analyst, you will thrive in a supportive environment that encourages professional growth. With access to cutting-edge data technologies and the opportunity to influence key business decisions through your insights, this role offers a meaningful career path in a dynamic location. Experience a culture that prioritises employee well-being and development, making it an excellent choice for those seeking rewarding employment.
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Contact Detail:

Redfox Executive Selection Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Familiarise yourself with the latest BI tools and data visualisation techniques. Being able to discuss current trends and technologies during your interview will show that you're proactive and passionate about the field.

✨Tip Number 2

Brush up on your SQL skills, especially around database management and administration. You might be asked to solve a problem or demonstrate your knowledge in this area, so practice common SQL queries and database scenarios.

✨Tip Number 3

Prepare examples of how you've successfully translated business needs into data solutions in your previous roles. This will help you illustrate your problem-solving mindset and ability to work with stakeholders effectively.

✨Tip Number 4

Research the company’s current data practices and any recent projects they’ve undertaken. This will not only help you tailor your responses but also demonstrate your genuine interest in their operations and how you can contribute.

We think you need these skills to ace Data Analyst

Data Analysis
Business Intelligence (BI)
Database Management
SQL Server Administration
Database Development
Data Visualisation
Report Creation
Attention to Detail
Problem-Solving Skills
Stakeholder Engagement
Data Consistency and Accuracy
Process Improvement
Communication Skills
Technical Aptitude

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data analysis, business intelligence, and database management. Use specific examples that demonstrate your SQL Server administration skills and your ability to create data visualisations.

Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Data Analyst role and how your skills align with the key responsibilities outlined in the job description. Mention your problem-solving mindset and attention to detail.

Showcase Relevant Projects: If you have worked on any relevant projects, include them in your application. Describe how you identified business needs and implemented data solutions, as well as any BI reports or dashboards you developed.

Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.

How to prepare for a job interview at Redfox Executive Selection Ltd

✨Showcase Your Data Skills

Be prepared to discuss your experience with data analysis and business intelligence. Highlight specific projects where you developed BI reports or dashboards, and be ready to explain the impact of your work on decision-making.

✨Demonstrate SQL Proficiency

Since strong SQL Server administration skills are crucial for this role, brush up on your SQL knowledge. Be ready to answer technical questions or even solve problems on the spot to showcase your database management abilities.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving mindset. Think of examples where you identified a business need and implemented a data solution. Use the STAR method (Situation, Task, Action, Result) to structure your responses.

✨Visualisation Techniques

As creating compelling data visualisations is key, prepare to discuss your approach to data storytelling. Bring examples of your work, if possible, and be ready to explain how you ensure clarity and insight in your visualisations.

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