At a Glance
- Tasks: Create stunning dashboards and reports that make data easy to understand.
- Company: Join RealityMine, a dynamic company that values its people.
- Benefits: Enjoy 25 days holiday, life assurance, and a bonus scheme.
- Other info: Flexible hybrid working model with great career growth opportunities.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Experience with BI tools and a knack for data storytelling.
The predicted salary is between 35000 - 45000 £ per year.
We are seeking a Data Visualisation Developer to join our Data Operations function. This role focuses on developing high-quality, user-friendly dashboards and reports that bring clarity and insight to the business. The successful candidate will work closely with stakeholders to gather requirements, design impactful data stories, and support the adoption of self-serve analytics.
The Role:
- Design and build interactive dashboards and reporting assets in QuickSight, ensuring alignment with business needs and best practice in UX.
- Partner with analysts, engineers, and stakeholders across the business to deliver actionable insights and enable colleagues to explore data in a self-serve manner.
- This is a hands-on role, requiring creativity, technical skills, and a strong eye for detail.
- Our offices are in Trafford Park, Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building 2 days per week.
Key Responsibilities:
- Design, develop, and maintain dashboards and reports in QuickSight to support business decision-making.
- Collaborate with stakeholders to gather requirements and translate them into effective data visualisations.
- Ensure dashboards follow best practices in UX, accessibility, and data storytelling.
- Work closely with analytics engineering to align dashboards with curated datasets and standardised metrics.
- Champion the adoption of self-serve reporting and empower colleagues to explore data independently.
- Continuously review and improve reporting outputs, ensuring accuracy, clarity, and relevance.
- Support in embedding reporting standards and best practices across the business.
- Apply automation and AI-assisted tools where appropriate to improve delivery efficiency and the quality of analytical outputs.
- Adhere to Company Policies and Procedures with respect to Security, Quality and Health & Safety.
About You:
- Experience designing and building dashboards in a BI tool (QuickSight strongly preferred; Tableau, Power BI, or Looker also considered).
- Proficiency in SQL for querying and preparing data for reporting.
- Strong understanding of data storytelling, visual best practices, and UX principles.
- Ability to work collaboratively with both technical and non-technical stakeholders.
- Attention to detail with a focus on accuracy, consistency, and clarity in reporting.
- Proactive mindset with the ability to work independently and manage competing priorities.
- Experience working with AWS data tools (Athena, S3) is desirable.
Why Join RealityMine?
At RealityMine, we believe our people are at the heart of everything we do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here.
Your Benefits:
- Generous Time Off: Enjoy 25 days of paid holiday, plus bank holidays. After two years with us, you can also buy or sell up to 5 days of annual leave.
- Peace of Mind: Life assurance and a workplace pension with employer contributions.
- Reward for Performance: Bonus scheme that recognizes your hard work and contributions.
- Cycle to Work Scheme: For the cyclists among us, we've got you covered.
- Gear You’ll Love: Choose the tech that works for you, we'll try and source it!
- Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing.
- Giving Back: Join us in supporting local charities and making a positive impact.
Hybrid Working:
- Located in Trafford Park, our Manchester office offers an inspiring, collaborative space to work alongside your colleagues.
- Free parking and secure bike shed. Excellent public transport links.
- Split your time between the office and home, with 2 days working in our offices.
- Full equipment provided for home working (desk, screen, chair).
- Receive £100 annually to personalise your home workspace.
- Flexible start and finish times to suit your personal circumstances.
If you’re a Data Visualisation Developer, Data Operations professional excited to work on impactful projects and shape the future of data insights, we’d love to hear from you. Please email your CV with the heading Data Visualisation Developer, Data Operations to recruitment@realitymine.com
Data Visualisation Developer, Data Operations in Manchester employer: RealityMine
RealityMine is an exceptional employer, offering a dynamic work environment in Trafford Park, Manchester, where collaboration and innovation thrive. With a strong focus on employee growth, we provide opportunities for professional development while maintaining a flexible hybrid working model that supports work-life balance. Our commitment to a supportive culture, combined with the chance to work on cutting-edge data capture technologies, makes RealityMine a rewarding place to advance your career as an Operations Engineer.
StudySmarter Expert Advice🤫
We think this is how you could land Data Visualisation Developer, Data Operations in Manchester
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We think you need these skills to ace Data Visualisation Developer, Data Operations in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at RealityMine, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at RealityMine. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at RealityMine
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at RealityMine!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
