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- Tasks: Collect, process, and analyse data to drive strategic decisions.
- Company: Join a dynamic team focused on data-driven insights.
- Benefits: Competitive salary, flexible working hours, and professional development opportunities.
- Why this job: Make a real impact by improving business performance through data analysis.
- Qualifications: Experience in data analysis, strong Excel skills, and creative problem-solving abilities.
- Other info: Collaborative environment with opportunities for career growth.
The predicted salary is between 31000 - 51000 £ per year.
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 in data and propose solutions.
- Use statistical techniques to interpret data and provide insights.
- Analyse trends and 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 identify relationships and anomalies.
- Develop and deliver dashboards, reports, and presentations using tools like Tableau, Power BI, or Excel.
- Create clear visualisations (charts, graphs, infographics) to convey complex data insights.
- Share findings with stakeholders in a concise 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,******-£41,****** per year.
Data Analyst) in Stretford employer: Visu Tech Ltd
Contact Detail:
Visu Tech Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst) in Stretford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use tools like Tableau or Power BI to build interactive dashboards that demonstrate your ability to turn data into insights.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with SQL, Excel, and data cleaning techniques. Practice explaining complex data concepts in simple terms for non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst) in Stretford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your relevant experience, especially with data collection and analysis tools like SQL or Power BI. We want to see how your skills match what we're looking for!
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Include specific examples of how you've analysed data to drive decisions or improve processes. This will help us see your analytical mindset in action.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon. We appreciate a well-structured application that communicates your points effectively, especially since you'll be sharing insights with stakeholders.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at Visu Tech Ltd
✨Know Your Data Tools
Make sure you’re familiar with the tools mentioned in the job description, like Excel, SQL, and Power BI. Brush up on your skills and be ready to discuss how you've used these tools in past projects. It’s a great way to show you’re not just a data whiz but also someone who can effectively communicate insights.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical data problems or analyse trends. Think of examples from your previous experience where you identified gaps in data or made strategic decisions based on your analysis. Practising these scenarios will help you articulate your thought process clearly.
✨Showcase Your Communication Skills
Since you'll be working with non-technical stakeholders, it’s crucial to demonstrate your ability to convey complex data insights in a simple manner. Prepare to explain a past project where you successfully communicated findings to a diverse audience. This will highlight your versatility and teamwork skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current data challenges or how they measure success. This shows your genuine interest in the role and helps you understand if the company is the right fit for you.
