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For Companies At a Glance
- Tasks: Analyse data to drive strategic decisions and optimise business performance.
- Company: Join a dynamic team in a fully remote role within the UK.
- Benefits: Enjoy flexibility, competitive salary, bonuses, and professional growth opportunities.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Bachelor’s degree in a relevant field and experience as a Data Analyst.
- Other info: Collaborative culture with access to cutting-edge tools and technologies.
The predicted salary is between 28800 - 48000 £ per year.
We are seeking a detail-oriented and analytical Data Analyst to join our dynamic team remotely from anywhere within the UK. This role offers an exciting opportunity to leverage data to drive strategic decisions, optimize business performance, and contribute to meaningful projects across multiple departments. As a Data Analyst, you will play a crucial part in transforming raw data into actionable insights, helping the organization stay competitive and responsive in a fast-paced environment.
Key Objectives
- Analyze complex data sets to identify trends, patterns, and opportunities for growth.
- Develop and maintain dashboards and reports to support business stakeholders.
- Collaborate with cross-functional teams to understand data needs and deliver insightful solutions.
- Ensure data accuracy, integrity, and consistency across various sources.
Responsibilities
- Collect, process, and analyze data from multiple internal and external sources.
- Create clear and concise reports, visualizations, and presentations for diverse audiences.
- Identify key metrics and develop KPIs to measure business performance.
- Work closely with IT and business units to implement data-driven strategies.
- Conduct ad-hoc data investigations and provide actionable recommendations.
- Maintain documentation of data processes, methodologies, and best practices.
- Stay current with industry trends and emerging data analysis tools and techniques.
Qualifications & Skills
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Proven experience as a Data Analyst or in a similar analytical role.
- Proficiency in data analysis tools such as SQL, Excel, and data visualization software (e.g., Tableau, Power BI).
- Strong analytical thinking with the ability to interpret complex data sets.
- Excellent communication skills to explain data insights clearly to non-technical stakeholders.
- Experience with statistical analysis and programming languages like Python or R is a plus.
- Ability to work independently in a remote setting while managing priorities effectively.
Benefits
- Fully remote position offering flexibility and work-life balance.
- Competitive salary and performance-based bonuses.
- Opportunities for professional growth and training.
- Collaborative and inclusive company culture.
- Access to cutting-edge tools and technologies.
- Generous holiday allowance and pension scheme.
Only UK candidates can apply. Please send your CV to: hiring@mrkit.live
Data Analyst – Work From Home in Glasgow employer: Environmental Career Center
Contact Detail:
Environmental Career Center Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – Work From Home in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or other platforms. Let them know you're on the hunt for a Data Analyst role and ask if they know of any openings or can introduce you to someone in the field.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples to demonstrate how you've transformed data into actionable insights. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions. Practice explaining your thought process when analysing data sets, and be ready to discuss tools like SQL and Excel. Confidence is key!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind. Plus, it’s a great chance to reiterate why you’re the perfect fit!
We think you need these skills to ace Data Analyst – Work From Home in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight relevant experience and skills that match the job description, like your proficiency in SQL or data visualisation tools. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your background makes you a great fit for us. Keep it concise but engaging – we love a good story!
Showcase Your Analytical Skills: In your application, don’t just list your skills; demonstrate them! Include examples of how you've used data to drive decisions or improve processes in previous roles. We’re keen to see your analytical thinking in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Environmental Career Center
✨Know Your Data Tools
Make sure you brush up on your skills with SQL, Excel, and any data visualisation software like Tableau or Power BI. Be ready to discuss how you've used these tools in past roles to analyse data and create reports.
✨Showcase Your Analytical Skills
Prepare examples of complex data sets you've worked with. Think about how you identified trends and made recommendations based on your findings. This will demonstrate your analytical thinking and problem-solving abilities.
✨Communicate Clearly
Practice explaining your data insights in simple terms. Remember, you'll need to communicate with non-technical stakeholders, so being able to break down complex information is key. Consider doing mock interviews to refine this skill.
✨Stay Current with Industry Trends
Research the latest trends in data analysis and be prepared to discuss them. Showing that you're proactive about learning new tools and techniques will impress interviewers and show your commitment to the field.
