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- Tasks: Analyse datasets and create impactful visualisations to support decision-making.
- Company: Join a forward-thinking organisation focused on data-driven insights.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference by transforming complex data into clear insights.
- Qualifications: Experience in data analysis and visualisation techniques is essential.
- Other info: Collaborative environment with opportunities to lead and innovate.
The predicted salary is between 28800 - 48000 £ per year.
You will analyse multiple datasets sourced from a wide range of platforms, applying effective data visualisation techniques to generate meaningful and informative insights. This involves interpreting complex data and presenting it in a way that supports decision-making and delivers real value to stakeholders.
Information will be communicated through various mediums, including dashboards, monthly reporting packs, presentations, and scheduled updates. The ability to tailor the format and content to suit the needs of different audiences is essential.
You will be expected to work flexibly across several projects, often dealing with ambiguity, changing requirements, and diverse outputs. Adapting to shifting priorities and ensuring high-quality delivery across all assignments is a key aspect of the role.
Providing expert advice and consultancy is a central responsibility, particularly in the areas of Management Information, data analytics, evidence gathering, and data visualisation. Your expertise will guide stakeholders and help them understand and leverage data effectively.
You will drive forward ongoing improvements in the quality of datasets, reporting mechanisms, and dashboard functionality. Familiarity with data storage and warehousing will be beneficial in enhancing data infrastructure and supporting these improvements.
Working in partnership with stakeholders, you will scope out data requirements and design intuitive dashboards to address growing demands. Effective scoping, planning, and prioritisation against available resources are crucial to meeting organisational objectives.
Maintaining robust governance processes and documentation is essential. You will ensure strict adherence to GDPR and security guidelines, safeguarding data integrity and confidentiality at every stage of the reporting process.
Collaboration with other areas of expertise within the People Analytics and Insight (PAI) directorate is a key element of the role. Working closely with colleagues ensures knowledge sharing and the delivery of integrated solutions.
On occasion, you will be required to deputise for a Senior Manager, taking on additional responsibilities and supporting leadership within the team as needed.
Data Visualisation Analyst in London employer: HMRC
Contact Detail:
HMRC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Visualisation Analyst in London
✨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 visualisation projects. Use real datasets to demonstrate how you can turn complex data into insightful visuals that drive decision-making.
✨Tip Number 3
Tailor your approach for each opportunity. When you get an interview, research the company and prepare examples of how your experience aligns with their needs. Make it clear how you can add value to their team!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Visualisation Analyst in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data visualisation and analytics. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Communication Skills: Since you'll be presenting complex data to various audiences, it’s crucial to demonstrate your ability to communicate effectively. Use clear examples in your application that illustrate how you've tailored information for different stakeholders.
Highlight Flexibility and Adaptability: We value candidates who can handle changing requirements and shifting priorities. Share experiences where you successfully navigated ambiguity or adapted your approach to meet project demands.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join the StudySmarter team!
How to prepare for a job interview at HMRC
✨Know Your Data Visualisation Techniques
Make sure you brush up on various data visualisation techniques before the interview. Be ready to discuss how you've used these methods in past projects to turn complex datasets into clear, actionable insights. This will show your potential employer that you can effectively communicate data to different audiences.
✨Tailor Your Examples
Prepare specific examples of how you've adapted your reporting and presentations for different stakeholders. Highlight instances where you’ve successfully scouted out data requirements and designed dashboards that met those needs. This demonstrates your ability to tailor content and format to suit diverse audiences.
✨Show Flexibility and Adaptability
Be prepared to discuss how you've handled ambiguity and shifting priorities in previous roles. Share stories that illustrate your ability to manage multiple projects while maintaining high-quality delivery. This will reassure the interviewers that you can thrive in a dynamic work environment.
✨Understand Governance and Compliance
Familiarise yourself with GDPR and data governance principles. Be ready to explain how you ensure data integrity and confidentiality in your work. This knowledge is crucial for the role and will demonstrate your commitment to maintaining robust processes and documentation.
