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For Companies At a Glance
- Tasks: Gather, clean, and visualise data to provide insights for decision-making.
- Company: Join an international client known for innovation and excellence.
- Benefits: Enjoy hybrid work options and competitive salary up to £50,000.
- Why this job: Be part of a dynamic team that values data-driven decisions and personal growth.
- Qualifications: 3-5 years of experience in data analysis and strong communication skills required.
- Other info: Opportunity to work with tools like Power BI and develop impactful reports.
The predicted salary is between 36000 - 60000 £ per year.
International client is looking for a proactive and detail-oriented Data Analyst to be responsible for gathering, cleaning, organising, modelling, and visualising data to extract valuable insights that can inform decision-making. This role includes conducting ongoing variance analysis, tracking actual and forecast performance against key benchmarks, and ensuring data is properly formatted and business ready.
Key Responsibilities:
- Perform variance analysis on an ongoing basis, tracking performance against key benchmarks such as Budget, 5 Year Plan, and last year.
- Build and fix reports, dashboards, and data visualisations, ensuring data is properly formatted and ready for use in business tools such as Power BI, Power Pivot, and Query.
- Provide insight and intelligence along with reports, utilising data visualization techniques to effectively communicate findings through charts, reports, and dashboards.
- Develop a deep understanding of products and processes through the analysis of data collected.
- Demonstrate strong attention to detail, excellent communication skills, people management, prioritisation, and the ability to analyse and interpret large volumes of data.
Key Competencies:
- 3-5 years of experience in a similar role.
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like Power BI and Power Pivot. Having hands-on experience or even completing a project using these tools can really set you apart during the interview.
✨Tip Number 2
Brush up on your variance analysis skills. Be prepared to discuss how you've tracked performance against benchmarks in previous roles, as this is a key responsibility of the position.
✨Tip Number 3
Showcase your ability to communicate complex data insights clearly. Prepare examples of how you've used data visualisation techniques to present findings effectively, as strong communication skills are essential for this role.
✨Tip Number 4
Research the company and its products thoroughly. Understanding their business model and how data impacts their decision-making will help you demonstrate your enthusiasm and fit for the role during the interview.
We think you need these skills to ace Data Analyst
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 data analysis, reporting, and visualisation skills, especially with tools like Power BI and Power Pivot.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your understanding of the company's needs. Mention specific examples of how you've successfully used data to inform decision-making in previous roles.
Highlight Key Competencies: In your application, emphasise your attention to detail, communication skills, and ability to manage multiple priorities. Provide examples of how you've demonstrated these competencies in your past work.
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.
How to prepare for a job interview at Click To Hired
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've gathered, cleaned, and analysed data in previous roles. Highlight any tools you've used, such as Power BI or Excel, and be ready to explain your thought process behind the analyses.
✨Prepare for Technical Questions
Expect questions that test your technical knowledge and problem-solving abilities. Brush up on key concepts related to variance analysis and data visualisation techniques, as well as any relevant statistical methods that may apply to the role.
✨Demonstrate Attention to Detail
Since this role requires a strong focus on detail, be sure to provide examples of how you've ensured accuracy in your work. Discuss any processes you have in place to double-check your data and findings before presenting them.
✨Communicate Effectively
Practice explaining complex data insights in a clear and concise manner. You may be asked to present findings or reports during the interview, so being able to communicate your insights effectively is crucial.
