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- Tasks: Analyse data, identify trends, and create interactive dashboards for business improvement.
- Company: Join a leading organisation in Gillingham, Kent, focused on data-driven decision-making.
- Benefits: Enjoy 25 days holiday, a pension plan, and flexible working options.
- Why this job: This role offers a chance to drive impactful insights and collaborate with leadership teams.
- Qualifications: 3+ years as a Data Analyst, strong SQL skills, and experience with Power BI required.
- Other info: This is a full-time, on-site position with opportunities for career progression.
The predicted salary is between 28000 - 37000 £ per year.
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Data Analyst
Gillingham, Kent
Full-time on-site
Data Analyst needed for a leading organisation based in Gillingham, Kent who are looking to employ an experienced Data Analyst with an in-depth knowledge of SQL, data visualization tools, Power BI and strong stakeholder management to drive improvement & efficiencies. This position will be fully on-site.
* Salary: £32,000 – £37,000 per annum
* 25 day\’s holiday
* Pension Plan
* Full-time on-site 5 days per week
* Flexible working
Some of the main duties of the Data Analyst will include:
* Analyse data, identifying trends to uncover patterns and insights that drive business improvement
* Able to process map the entire customer journey to showcase to stakeholders and highlight areas of suggested improvement
* Develop and maintain interactive dashboards and reports to help leadership make live data-driven decisions
* Leverage your curiosity and problem-solving skills to identify new opportunities for improving profitability and performance
* Collaborate with the leadership and operations teams to create actionable insights for targeted enhancements
* Present findings and recommendations to Senior Management, providing clear, actionable advice to support and drive forward business strategies
* Ensure data accuracy and consistency across various platforms, supporting the company\’s overall data integrity
* Identify potential gaps in our current systems and usage to support other functional areas to build business cases for improvement
In order to be the successful Data Analyst and have a chance to gain such an exciting opportunity you will ideally need to have the following:
* Min 3 years proven commercial experience as a Data Analyst
* Strong proficiency in data analysis tools such as SQL
* Experience with data visualization tools like, Power BI or similar
* Inquisitive and analytical mindset, with a passion for solving complex problems and discovering insights in business data
* Strong communication skills to explain technical concepts to non-technical stakeholders
* Detail-oriented, with the ability to manage large datasets and ensure data accuracy
* Strong organisational and time-management skills, with the ability to balance multiple projects in a fast-paced environment
* Familiarity with databases and data warehousing concepts
* Experienced in analysing large, complicated data files
This really is a fantastic opportunity for a Data Analyst to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don\’t miss out!
Services advertised by Gold Group are those of an Agency and/or an Employment Business.
We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
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Data Analyst employer: Gold Group
Contact Detail:
Gold Group 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, particularly SQL and Power BI. Consider taking online courses or tutorials to sharpen your skills, as demonstrating proficiency in these tools can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss your experience with stakeholder management during the interview. Think of examples where you've successfully communicated complex data insights to non-technical stakeholders, as this is a key requirement for the role.
✨Tip Number 3
Showcase your analytical mindset by being ready to discuss how you've identified trends and patterns in previous roles. Bring specific examples of how your insights led to business improvements, as this will demonstrate your value to potential employers.
✨Tip Number 4
Research the company and its operations thoroughly before the interview. Understanding their business model and current challenges will allow you to tailor your insights and suggestions, making you a more attractive candidate for the Data Analyst position.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, data visualisation tools like Power BI, and any relevant stakeholder management skills. Use specific examples to demonstrate your analytical abilities and problem-solving mindset.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the Data Analyst role and the company. Mention how your skills align with their needs, particularly in analysing data and presenting findings to senior management.
Showcase Relevant Experience: When detailing your work history, focus on your commercial experience as a Data Analyst. Highlight projects where you developed dashboards, identified trends, or improved business processes through data analysis.
Prepare for Potential Questions: Anticipate questions related to your technical skills and experience with data analysis. Be ready to discuss specific tools you've used, challenges you've faced, and how you've communicated complex data insights to non-technical stakeholders.
How to prepare for a job interview at Gold Group
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. Bring examples of how you've used SQL to analyse data and uncover insights. This will demonstrate your technical proficiency and problem-solving abilities.
✨Demonstrate Data Visualisation Expertise
Familiarise yourself with Power BI or similar tools, and be ready to talk about specific dashboards or reports you've created. Highlight how these visualisations helped stakeholders make informed decisions.
✨Communicate Clearly with Stakeholders
Practice explaining complex data concepts in simple terms. The ability to communicate effectively with non-technical stakeholders is crucial, so prepare examples of how you've done this in the past.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical mindset and problem-solving skills. Think of scenarios where you've identified trends or gaps in data and how you proposed actionable solutions to improve business performance.
