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- Tasks: Create dynamic dashboards to track energy performance and insights.
- Company: Join Square One Resources, a leader in information services and financial solutions.
- Benefits: Enjoy a competitive day rate and the chance to work on impactful projects.
- Why this job: Combine creativity and tech skills to transform data into engaging visual stories.
- Qualifications: Experience with Looker, Power BI, Tableau, and strong data storytelling skills required.
- Other info: Contract role based in Barnsley, starting ASAP until 28 Nov.
The predicted salary is between 20000 - 30000 £ per year.
Direct message the job poster from Square One Resources
Delivery Team Leader at Square One Resources
Day Rate: £265 per day inside IR35
Start Date: ASAP
End Date: 28 Nov
Location: Barnsley
Job Summary:
We are looking for a creative and technically skilled Data Visualization Specialist to design and deliver intuitive, dynamic dashboards that support energy tracking and performance insights. The ideal candidate will be proficient in Looker, Power BI, Tableau, and Qlik, and possess a strong foundation in data storytelling and user experience (UX) for data. This role bridges data engineering and design, transforming complex datasets into clear, actionable visual narratives.
Key Responsibilities:
- Design, develop, and maintain interactive dashboards and visual reports that track energy usage, efficiency, and sustainability metrics.
- Collaborate with data engineers, analysts, and business stakeholders to understand data needs and translate them into compelling visual solutions.
- Apply UX principles to ensure dashboards are intuitive, accessible, and aligned with user workflows.
- Use data storytelling techniques to highlight trends, anomalies, and actionable insights.
- Ensure consistency in visual standards and data definitions across platforms.
- Optimize dashboard performance and maintain data accuracy and integrity.
- Provide training and documentation to end users on dashboard functionality and interpretation.
Required Skills and Qualifications:
- Proven experience with Looker, Power BI, Tableau, and Qlik.
- Strong understanding of data visualization best practices and UX design for analytics.
- Ability to craft data narratives that drive decision-making.
- Familiarity with energy data, sustainability metrics, or operational KPIs is a plus.
- Proficiency in SQL and experience working with large datasets.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Experience in the energy, utilities, or sustainability sectors.
- Knowledge of scripting languages (e.g., Python or R) for data manipulation.
- Familiarity with cloud data platforms (e.g., BigQuery, Snowflake)
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Contract
Job function
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Job function
Information Technology
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Industries
Information Services and Financial Services
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Data Visualisation Specialist employer: Square One Resources
Contact Detail:
Square One Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Visualisation Specialist
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like Looker, Power BI, Tableau, and Qlik. Consider creating a small project or dashboard using one of these platforms to showcase your skills and understanding of data visualisation.
✨Tip Number 2
Network with professionals in the energy and sustainability sectors. Engaging with industry-specific groups on LinkedIn can help you gain insights into current trends and challenges, which you can reference during discussions with the hiring team.
✨Tip Number 3
Prepare to discuss your approach to data storytelling. Think of examples where you've transformed complex data into clear narratives that drove decision-making, as this is a key aspect of the role.
✨Tip Number 4
Brush up on your SQL skills and be ready to demonstrate your ability to work with large datasets. You might be asked about your experience in manipulating data, so having a few examples in mind will help you stand out.
We think you need these skills to ace Data Visualisation Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Looker, Power BI, Tableau, and Qlik. Include specific projects where you designed dashboards or visual reports, focusing on how they supported decision-making.
Craft a Compelling Cover Letter: In your cover letter, emphasise your understanding of data storytelling and UX principles. Mention any relevant experience in the energy or sustainability sectors to show you’re a great fit for the role.
Showcase Your Skills: If possible, include links to your portfolio or examples of dashboards you've created. This will demonstrate your technical skills and creativity in data visualisation.
Highlight Collaboration Experience: Discuss your experience working with data engineers, analysts, and business stakeholders. Provide examples of how you translated complex data needs into visual solutions that were user-friendly.
How to prepare for a job interview at Square One Resources
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Looker, Power BI, Tableau, and Qlik. Bring examples of dashboards you've created and be ready to explain the design choices you made and how they support data storytelling.
✨Understand User Experience Principles
Familiarise yourself with UX principles relevant to data visualisation. During the interview, highlight how you ensure that your dashboards are intuitive and accessible, and how you incorporate user feedback into your designs.
✨Demonstrate Data Storytelling Ability
Prepare to discuss how you transform complex datasets into clear narratives. Share specific instances where your visualisations have led to actionable insights or influenced decision-making within a team or organisation.
✨Collaborate Effectively
Emphasise your experience working with cross-functional teams, including data engineers and business stakeholders. Be ready to provide examples of how you’ve successfully collaborated to understand data needs and deliver compelling visual solutions.
