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- Tasks: Gather, clean, and analyse data to provide actionable insights.
- 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 decision-making.
- Qualifications: 3-5 years experience in data analysis and strong communication skills required.
- Other info: Opportunity to work with advanced tools like Power BI and develop your analytical skills.
The predicted salary is between 43200 - 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.
Data Analyst employer: Click To Hired
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 set you apart from other candidates.
✨Tip Number 2
Showcase your analytical skills by preparing a case study or example of a past project where you performed variance analysis. Be ready to discuss how your insights influenced decision-making in that scenario.
✨Tip Number 3
Network with current or former employees of the company on platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights and potentially a referral.
✨Tip Number 4
Prepare for the interview by practising common data analysis scenarios and questions. Being able to articulate your thought process and problem-solving approach will demonstrate your expertise and confidence.
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 proficiency in data analysis tools like Power BI and any experience you have with variance analysis.
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 projects or experiences where you've successfully used data to drive decision-making.
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 analysed large volumes of data and communicated insights effectively.
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 Click To Hired
✨Know Your Data Tools
Familiarise yourself with the data tools mentioned in the job description, such as Power BI and Power Pivot. Be prepared to discuss your experience with these tools and how you've used them to create reports and dashboards in previous roles.
✨Showcase Your Analytical Skills
Prepare examples of past projects where you performed variance analysis or tracked performance against benchmarks. Highlight how your insights led to informed decision-making and improved outcomes for your previous employers.
✨Communicate Clearly
Since excellent communication skills are crucial for this role, practice explaining complex data findings in simple terms. Use visual aids if possible, as this will demonstrate your ability to convey information effectively.
✨Demonstrate Attention to Detail
Be ready to discuss how you ensure data accuracy and integrity in your work. Share specific strategies you use to clean and organise data, as well as any challenges you've faced and how you overcame them.
