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- Tasks: Join us as a Data Analyst to collect, process, and analyse data for strategic decisions.
- Company: Be part of a growing team at Visutech, dedicated to improving business performance through data.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a meaningful impact by transforming data into actionable insights in a collaborative environment.
- Qualifications: A degree in IT or a related field, plus experience in data analysis and strong Excel skills.
- Other info: Apply now with your CV and job reference to join our innovative team!
The predicted salary is between 37000 - 41000 £ per year.
Job Description
We are looking for a passionate and detail-oriented Data Analyst to join our growing team. You will be responsible for collecting, processing, and analyzing data to drive strategic decisions and improve business performance. This role requires a strong analytical mindset, attention to detail, and the ability to translate data into actionable insights.
KEY RESPONSIBILITIES
- Collect data from primary (surveys, experiments)and secondary (databases, APIs) sources.
- Identify gaps or inconsistencies indata and propose solutions. Use statistical techniquesto interpret data and provide insights. Analyse trendsand patterns in data to uncover actionable insights.
- Build dashboards and reports using tools like Tableau, Power BI, or Looker
- Collaborate with cross-functional teams to identify data needs and opportunities
- Communicate clearly to senior stakeholders.
- Perform exploratory data analysis (EDA) to identifyrelationships and anomalies. Develop and deliverdashboards, reports, and presentations using tools likeTableau, Power BI, or Excel. Create clear visualisations(charts, graphs, infographics) to convey complexdata insights. Share findings with stakeholders in aconcise and actionable manner.
- Conduct quantitative analysis, ensuring data collection, validation, and processing are methodologically sound and meet high standards to feed into our reports, blogs and other publications
- Use and implement robust research methodologies for data-driven insights
- Collaborate with cross-functional teams to ensure data accuracy and usability
- Make a meaningful impact by improving our service, process, and operations.
Essential Skills and Experience
- Proven experience in a data analyst or similar data-focused role.
- Strong Excel skills; experience with SQL, Power BI, or similar tools desirable
- Experience with data cleaning and transformation techniques.
- Excellent attention to detail and a methodical approach to work
- Strong communication skills and ability to work with non-technical stakeholders.
- Creative problem-solving skills, with the ability to make effective decisions based on a detailed understanding of business processes.
- Experience working with agile development approaches & Jira.
- Experience sourcing and assessing the value & integrity of external data sources.
Qualification:
- Master/Bachelor’s degree qualifications in a relevant discipline such as IT Technology
Job Location
- Salary: £37,000.00-£41,000.00 per year
Note:
To apply, please send your CV’s including Job reference as subject line in your email at hr@visutechltd.co.uk
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Data Analyst) employer: Visu Tech Ltd
Contact Detail:
Visu Tech Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst)
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as Tableau, Power BI, and SQL. Having hands-on experience or even completing a few online courses can give you an edge during interviews.
✨Tip Number 2
Prepare to discuss specific projects where you've used data analysis to drive decisions. Be ready to explain your thought process, the methodologies you employed, and the impact of your findings on the business.
✨Tip Number 3
Practice communicating complex data insights in a simple manner. You might be asked to present your findings to non-technical stakeholders, so being able to convey your message clearly is crucial.
✨Tip Number 4
Network with current or former employees in similar roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during the application process.
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. Emphasise your analytical mindset, attention to detail, and any specific tools you've used like SQL or Power BI.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data analysis. Mention specific projects where you've successfully collected and analysed data, and how your insights led to strategic decisions.
Highlight Technical Skills: Clearly list your technical skills, especially in Excel, SQL, and data visualisation tools like Tableau or Power BI. Provide examples of how you've used these tools in previous roles to drive business performance.
Showcase Communication Skills: Since the role involves communicating findings to non-technical stakeholders, include examples of how you've effectively conveyed complex data insights in a clear and actionable manner.
How to prepare for a job interview at Visu Tech Ltd
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis in previous roles. Highlight your experience with statistical techniques and how you've translated data into actionable insights.
✨Familiarise Yourself with Tools
Make sure you're comfortable discussing tools like Excel, SQL, Power BI, or Tableau. If you have any projects or dashboards you've created using these tools, be ready to share them during the interview.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. Since you'll be working with non-technical stakeholders, demonstrating your ability to communicate effectively is crucial.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills. Think of scenarios where you've identified gaps in data or proposed solutions to improve processes, and be ready to discuss your thought process.
