Data Analyst - Government Digital Service - HEO in Manchester

Data Analyst - Government Digital Service - HEO in Manchester

Manchester Full-Time 40000 - 50000 € / year (est.) No home office possible
Free-Work UK

At a Glance

  • Tasks: Analyse data to provide strategic insights and improve performance for GDS Digital Products.
  • Company: Join the Government Digital Service, a leader in digital transformation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on innovation and collaboration.
  • Why this job: Make a real impact by shaping data-driven decisions that influence the future.
  • Qualifications: Experience in data analysis and strong communication skills are essential.

The predicted salary is between 40000 - 50000 € per year.

This Data Analyst role sits in the Portfolio Planning & Performance Unit at the centre of GDS Digital Products. The team provides strategic insight to senior leaders, helping prioritise delivery and assure performance as GDS works towards an ambitious roadmap up to 2030.

What You’ll Be Doing

  • Analysing strategic and operational data to understand performance, progress and impact
  • Creating visualisations and insight that help leaders make informed, prioritised decisions
  • Working closely with operations and delivery teams to improve data quality and consistency
  • Helping shape how operational data is captured and used across the organisation
  • Building reporting that is automated, reliable and secure
  • Sharing insight clearly across teams and contributing to a performance/data community of practice

Tools & Approach (what You’ll Use)

  • Data modelling and/or reporting automation
  • Visualisation tools such as Power BI (or similar)
  • Clear storytelling to turn analysis into actionable insight

Candidate Profile

Who this role could suit

This Could Be a Strong Fit If Experience Includes:

  • Delivering data analysis in an analyst role and working with complex datasets
  • Communicating insights clearly to a range of stakeholders
  • Building dashboards or automated reporting and improving data reliability
  • Working confidently across teams in a fast-paced environment

Data Analyst - Government Digital Service - HEO in Manchester employer: Free-Work UK

As a Data Analyst within the Government Digital Service, you will be part of a dynamic team that plays a crucial role in shaping the future of digital products for the public sector. The work culture is collaborative and focused on innovation, providing ample opportunities for professional growth and development while contributing to meaningful projects that impact society. With a commitment to data-driven decision-making, you'll enjoy a supportive environment that values your insights and fosters continuous learning.

Free-Work UK

Contact Detail:

Free-Work UK Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst - Government Digital Service - HEO in Manchester

Tip Number 1

Network like a pro! Reach out to current or former employees at GDS on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.

Tip Number 2

Prepare for the interview by practising common data analysis questions. We should also be ready to showcase our skills with examples of dashboards or reports we've built. This is our chance to shine!

Tip Number 3

Show off our storytelling skills! When discussing our past projects, let’s focus on how we turned complex data into clear insights that drove decisions. This will resonate well with the team at GDS.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re genuinely interested in being part of the GDS team.

We think you need these skills to ace Data Analyst - Government Digital Service - HEO in Manchester

Data Analysis
Data Modelling
Reporting Automation
Visualisation Tools (e.g., Power BI)
Clear Storytelling
Dashboard Building
Stakeholder Communication

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Analyst role. Highlight your experience with data analysis, visualisation tools like Power BI, and any relevant projects that showcase your ability to communicate insights effectively.

Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of how you've delivered data analysis in the past and how you can contribute to our team at GDS. Keep it engaging and personal!

Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Include examples of how you've analysed complex datasets and created actionable insights. This will help us see your problem-solving abilities in action.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!

How to prepare for a job interview at Free-Work UK

Know Your Data Tools

Make sure you're familiar with the data modelling and visualisation tools mentioned in the job description, like Power BI. Brush up on your skills and be ready to discuss how you've used these tools in past roles.

Showcase Your Analytical Skills

Prepare examples of how you've analysed complex datasets and turned them into actionable insights. Be ready to explain your thought process and the impact your analysis had on decision-making.

Communicate Clearly

Practice explaining your findings in a way that anyone can understand. Use clear storytelling techniques to demonstrate how you can convey complex information to various stakeholders.

Collaborate and Contribute

Highlight your experience working across teams in fast-paced environments. Be prepared to discuss how you've improved data quality and consistency through collaboration, as this role involves working closely with operations and delivery teams.