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- Tasks: Manage data processing, ensure accuracy, and create visual dashboards.
- Company: Join a dynamic team focused on data-driven insights and research.
- Benefits: Enjoy a fully remote role with flexible part-time hours.
- Why this job: Be a key player in advancing analytics and automation while supporting research efforts.
- Qualifications: Must be UK-based with the right to work; experience in data management is a plus.
- Other info: This is a part-time position, requiring 3 days a week commitment.
The predicted salary is between 16000 - 20000 £ per year.
Data Analyst – Fully remote (UK based applicants only, must have right to work in the UK)
Part Time – 3 days a week role
20k-25k
In this role, you will be responsible for managing the entire data processing workflow, ensuring accuracy, quality, and seamless collaboration between data sources, data partners and research teams. You will also take ownership of building and maintaining our data visualisation dashboards and become our in-house expert for DisplayR, advancing the use of analytics and automation within the team.
As a key team member, you will play an essential role in supporting our research efforts while ensuring the integrity and usability of all data-driven insights. Additionally, you will contribute to upskilling team members and refining our internal data processes.
The 3 core elements of this role are:
- Data quality checks/cleaning
- Survey scripting
- Data formatting & dashboard creation
If interest please do apply.
Data Analyst employer: ENI – Elizabeth Norman International
Contact Detail:
ENI – Elizabeth Norman International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarize yourself with DisplayR, as this is a key tool for the role. Consider taking online courses or tutorials to enhance your skills and demonstrate your expertise during the interview.
✨Tip Number 2
Highlight any experience you have with data quality checks and cleaning processes. Be prepared to discuss specific examples of how you've ensured data integrity in past projects.
✨Tip Number 3
Showcase your ability to collaborate with different teams. Think of instances where you've worked cross-functionally and be ready to share how you contributed to successful outcomes.
✨Tip Number 4
Prepare to discuss your approach to survey scripting and data formatting. Having a clear understanding of these processes will set you apart as a candidate who can hit the ground running.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Analyst position. Understand the key responsibilities such as data quality checks, survey scripting, and dashboard creation, and think about how your experience aligns with these tasks.
Highlight Relevant Skills: In your CV and cover letter, emphasize your skills in data processing, visualization tools (especially DisplayR), and any experience you have with data cleaning and formatting. Use specific examples to demonstrate your expertise.
Tailor Your Application: Customize your application materials to reflect the requirements of the job. Mention your ability to work remotely and your right to work in the UK, as these are essential for this position.
Show Enthusiasm for Collaboration: Since the role involves collaboration with research teams and data partners, express your enthusiasm for teamwork and your experience in collaborative projects. This will show that you are a good fit for their team-oriented culture.
How to prepare for a job interview at ENI – Elizabeth Norman International
✨Showcase Your Data Skills
Be prepared to discuss your experience with data processing workflows. Highlight specific tools and techniques you've used for data quality checks, cleaning, and formatting.
✨Demonstrate Dashboard Expertise
Since you'll be building and maintaining data visualization dashboards, share examples of dashboards you've created in the past. If you have experience with DisplayR, make sure to mention it!
✨Emphasize Collaboration
This role involves working closely with research teams and data partners. Be ready to talk about how you've successfully collaborated in previous roles and how you can contribute to a seamless workflow.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving skills. Think of scenarios where you've had to troubleshoot data issues or improve processes, and be ready to discuss them.
