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- Tasks: Analyse complex data to generate insights for public policy and workforce development.
- Company: Lightcast is a leading provider of labour market analytics and data intelligence.
- Benefits: Enjoy flexible remote work, 25 days annual leave, and wellness support programs.
- Why this job: Join a collaborative team making a real-world impact through data-driven decision-making.
- Qualifications: Bachelor's degree in Data Science or related field; strong analytical skills required.
- Other info: This role offers opportunities for career growth in a mission-driven company.
The predicted salary is between 32000 - 44000 £ per year.
Job Vacancy: Remote Data Analyst jobs – Lightcast (United Kingdom)
Company: Lightcast
Location: 10 Sarum Hill, Basingstoke, Hampshire RG21 8SR, United Kingdom
Position: Remote Data Analyst jobs
Salary: £40,000 – £55,000 per annum (based on experience)
Employment Type: Full-Time | Remote
Job Description:
Lightcast, a leading provider of labour market analytics and data intelligence, is hiring a Remote Data Analyst to support its expanding UK operations. As a key member of the analytics team, you will analyze complex data to generate insights that inform public policy, higher education strategy, and workforce development across the UK and Europe. This fully remote role is ideal for professionals passionate about data and eager to work in a collaborative, innovative environment that values real-world impact.
Job Responsibilities:
- Collect, clean, and analyze large datasets from various sources.
- Interpret trends and patterns in economic and labour market data.
- Create dashboards, charts, and visualizations using Power BI or Tableau.
- Deliver reports and presentations to clients and stakeholders.
- Collaborate with cross-functional teams including product, sales, and research.
- Maintain data integrity and adhere to data governance best practices.
- Translate complex datasets into clear insights for technical and non-technical audiences.
Education & Qualifications:
- Bachelor\’s degree in Data Science, Economics, Statistics, Computer Science, or related field.
- Strong analytical and problem-solving skills.
- Proficiency in Excel, SQL, and visualization tools like Tableau or Power BI.
- Experience with Python or R is advantageous.
- Excellent communication skills.
- Ability to manage multiple projects remotely.
Salary & Benefits:
- Salary: £40,000 – £55,000 annually.
- Flexible remote work structure.
- 25 days annual leave plus bank holidays.
- Pension contribution plan.
- Ongoing professional development and training.
- Wellness support programs and online collaboration tools.
- Opportunities for career growth in a mission-driven company.
Conclusion:
Join Lightcast to be part of a global team transforming data-driven decision-making in education, government, and workforce sectors. If you are an analytical thinker interested in meaningful remote work, we want to hear from you!
How to Apply:
Apply via the Lightcast careers page at www.lightcast.io, including your CV and a brief cover letter expressing your interest.
FAQs:
Q: Is this position fully remote? A: Yes, it is 100% remote within the UK.
Q: Are part-time roles available? A: Currently, this is a full-time role, but flexibility can be discussed during the interview.
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Remote Data Analyst jobs employer: Newspaper WordPress
Contact Detail:
Newspaper WordPress Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Analyst jobs
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Power BI and Tableau. Having hands-on experience or even creating sample dashboards can showcase your skills and make you stand out during interviews.
✨Tip Number 2
Brush up on your SQL skills, as data manipulation is crucial for a Data Analyst role. Consider working on personal projects or contributing to open-source projects that require data analysis to demonstrate your proficiency.
✨Tip Number 3
Network with current or former employees of Lightcast on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 4
Prepare to discuss real-world applications of your analytical skills. Think of examples where your data analysis led to actionable insights or improvements, as this will resonate well with the company's mission-driven approach.
We think you need these skills to ace Remote Data Analyst jobs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your analytical skills, proficiency in Excel, SQL, and any experience with data visualisation tools like Power BI or Tableau.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how it can impact public policy and workforce development. Mention specific projects or experiences that demonstrate your analytical thinking and problem-solving abilities.
Showcase Technical Skills: Clearly outline your technical skills in your application. If you have experience with Python or R, be sure to mention it, as this could set you apart from other candidates.
Highlight Remote Work Experience: Since this is a remote position, emphasise any previous remote work experience you have. Discuss how you manage multiple projects and collaborate with teams effectively in a remote setting.
How to prepare for a job interview at Newspaper WordPress
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, such as Excel, SQL, Power BI, and Tableau. Be prepared to discuss your experience with these tools and how you've used them to analyse data in previous roles.
✨Showcase Your Analytical Skills
Prepare examples of how you've interpreted complex datasets and translated them into actionable insights. Highlight any specific projects where your analysis had a significant impact on decision-making.
✨Communicate Clearly
Since you'll be working with both technical and non-technical audiences, practice explaining your analytical findings in simple terms. This will demonstrate your ability to bridge the gap between data and real-world applications.
✨Emphasise Collaboration
Discuss your experience working in cross-functional teams. Share examples of how you've collaborated with different departments, such as product or sales, to achieve common goals and enhance project outcomes.
