Data Visualisation Engineer

Data Visualisation Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Create impactful reports and dashboards to drive business decisions.
  • Company: Join Royal London, the UK's largest mutual life and pensions company.
  • Benefits: Enjoy 28 days annual leave, up to 14% pension matching, and private medical insurance.
  • Why this job: Be part of a dynamic team redefining data use for better outcomes.
  • Qualifications: Experience with Power BI, SQL, and data visualisation techniques required.
  • Other info: Open to applicants who may not meet all qualifications; diversity is celebrated.

The predicted salary is between 36000 - 60000 £ per year.

Job Title: Data Visualisation Engineer

Contract Type: Permanent

Location: Edinburgh or Alderley Park (Wilmslow)

Working style: Hybrid 50% home/office based

Are you passionate about data and eager to make a real impact? Royal London is looking for talented Data Visualisation Engineer to join our team of data experts. This is your chance to be part of a dynamic team that is redefining how we use data to deliver better outcomes for more people.

As a Data Visualisation Engineer, you will take an active role in creating reports, dashboards, and data visualisations to help answer key business questions, solve business problems, and support decision making at all levels of the organisation.

About the role

  • Actively contribute to data visualisation projects for the team, ensuring adherence to data visualisation standards while managing the delivery of multiple projects.
  • Participate in the delivery of analytics and data visualisation initiatives.
  • Design and develop reports, dashboards, data visualisations and other analytics solutions
  • Define data requirements, and identify, create, and build appropriate data assets to support analysis
  • Communicate findings and results of these initiatives back to internal stakeholders to influence decision making
  • Define, promote, and ensure that robust data visualisation practices are adhered to by the team

About you

  • Power BI – Power BI development experience
  • Power Query – experience for data transformation
  • DAX – experience writing DAX measures
  • Familiarity with tools such as Tabular Editor, Dax Studio
  • SQL – ability to effectively query SQL databases
  • Any exposure to Databricks would be beneficial
  • Understanding of relational databases and Kimball approach to data warehousing
  • Experience of designing, building and maintaining best practise semantic models
  • Microsoft Certification such as PL-300 and DP-600 beneficial but not essential
  • Familiarity with version control and the software development lifecycle would be beneficial
  • Experience of applying data visualisation techniques to solve real-world business problems

If you think you would be a great fit for our data team at Royal London but don\’t meet all the requirements of the role, please get in touch as your application will still be considered.

About Royal London

We\’re the UK\’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services.

Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve.

We\’ve always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance. You can see all our benefits here – Our Benefits

Inclusion, diversity and belonging

We\’re an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background. #J-18808-Ljbffr

Data Visualisation Engineer employer: Royal London Mutual Insurance Society

Royal London is an exceptional employer, offering a vibrant work culture that prioritises inclusivity and employee well-being. With a strong commitment to professional growth, employees benefit from extensive training opportunities and a generous benefits package, including 28 days of annual leave and a robust pension scheme. Located in the picturesque cities of Edinburgh or Alderley Park, this role as a Data Visualisation Engineer allows you to make a meaningful impact while enjoying a hybrid working style that promotes work-life balance.
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Contact Detail:

Royal London Mutual Insurance Society Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Visualisation Engineer

✨Tip Number 1

Familiarise yourself with Power BI and its features. Since the role specifically requires Power BI development experience, consider creating a portfolio of sample dashboards or reports that showcase your skills in data visualisation.

✨Tip Number 2

Brush up on your SQL querying skills. Being able to effectively query SQL databases is crucial for this position, so practice writing complex queries that can extract meaningful insights from data.

✨Tip Number 3

Engage with the data visualisation community. Join forums or attend meetups where you can learn from others and share your knowledge. This can also help you stay updated on best practices and new tools in the field.

✨Tip Number 4

Prepare to discuss real-world applications of your data visualisation techniques. Think of specific examples where your work has influenced decision-making or solved business problems, as this will demonstrate your impact during interviews.

We think you need these skills to ace Data Visualisation Engineer

Power BI Development
Power Query for Data Transformation
DAX Measure Writing
Tabular Editor Familiarity
DAX Studio Experience
SQL Querying Skills
Understanding of Relational Databases
Kimball Approach to Data Warehousing
Designing and Building Semantic Models
Data Visualisation Techniques
Communication Skills
Project Management
Version Control Familiarity
Software Development Lifecycle Knowledge

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills related to data visualisation, such as Power BI development, DAX measures, and SQL querying. Use specific examples to demonstrate your expertise.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and how your skills align with the role. Mention any relevant projects you've worked on and how they relate to the responsibilities outlined in the job description.

Showcase Your Technical Skills: In your application, emphasise your technical skills, particularly in Power BI, Power Query, and any experience with Databricks or version control. This will help you stand out as a candidate who can hit the ground running.

Highlight Problem-Solving Experience: Include examples of how you've applied data visualisation techniques to solve real-world business problems. This demonstrates your ability to contribute effectively to the team and influence decision-making.

How to prepare for a job interview at Royal London Mutual Insurance Society

✨Showcase Your Power BI Skills

Make sure to highlight your experience with Power BI during the interview. Be prepared to discuss specific projects where you've developed reports and dashboards, and how your visualisations have impacted decision-making.

✨Demonstrate Data Transformation Knowledge

Since experience with Power Query is essential, be ready to explain how you've used it for data transformation in past roles. Share examples of complex data sets you've worked with and how you optimised them for analysis.

✨Discuss Real-World Applications

Prepare to talk about how you've applied data visualisation techniques to solve business problems. Use concrete examples to illustrate your thought process and the outcomes of your work.

✨Familiarity with SQL and Databricks

Even if you don't have extensive experience, show your understanding of SQL and any exposure to Databricks. Discuss how these tools fit into your workflow and how they can enhance data analysis and visualisation.

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