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- Tasks: Develop and maintain interactive data visualisations and dashboards using Amazon QuickSight.
- Company: Join a leading tech company in Manchester, empowering market research with unique consumer insights.
- Benefits: Enjoy flexible working, workspace allowance, free parking, and more fantastic perks.
- Why this job: Be part of a dynamic analytics team driving data-informed decisions and staying ahead in tech trends.
- Qualifications: Strong experience with BI tools, SQL, and AWS services; self-motivated problem solver.
- Other info: Apply online or contact Chelsea Hackett for more details.
The predicted salary is between 39600 - 66000 £ per year.
Opportunity for a Data Visualisation Developer to join a market leading technology focused company based in Manchester. Salary up to £55,000 + fantastic benefits including a flexible working environment, workspace allowance, free parking and much more.
WHO ARE WE?
We empower leading market research organisations to gain deep insights into real consumer behaviour across multiple devices and major operating systems. Our permission-based data collection approach allows for a unique understanding of how people engage with digital platforms. These insights are integrated into syndicated products, audience measurement tools, and custom research solutions used by agencies worldwide.
WHAT WILL YOU BE DOING?
As a key member of our analytics team, you will be responsible for developing, enhancing, and maintaining interactive data visualisations and dashboards using Amazon QuickSight. You’ll define and implement key business metrics aligned with strategic goals, and work closely with clients to gather requirements, refine project scopes, and communicate insights effectively. The role involves creating and maintaining scalable, efficient databases to support analytics, conducting exploratory data analysis to uncover trends and actionable insights, and ensuring data accuracy and integrity across all outputs. You’ll collaborate with cross-functional teams to drive data-informed decision-making, while staying current with best practices and emerging technologies in data visualisation and analytics.
DATA VISUALISATION DEVELOPER – ESSENTIAL SKILLS
- Strong experience with BI tools (ideally AWS QuickSight)
- Proficient in SQL for data querying, transformation, and optimisation
- Hands-on experience with AWS services (Redshift, S3, Athena preferred)
- Self-motivated with the ability to own projects and solve problems independently
- Strong analytical skills with the ability to turn business needs into data solutions
- Confident communicator with experience engaging stakeholders and presenting insights
- Bonus: Experience in defining and maintaining data models, ETL pipelines, and databases
TO BE CONSIDERED…. Please either apply by clicking online or emailing me directly.
By applying for this role, you give express consent for us to process and submit your application to our client in conjunction with this vacancy only.
KEY SKILLS: AWS QUICKSIGHT, SQL, AWS REDSHIFT, S3, ATHENA, ETL
Data Visualisation Developer employer: Searchability®
Contact Detail:
Searchability® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Visualisation Developer
✨Tip Number 1
Familiarise yourself with Amazon QuickSight and its features. Since this role heavily relies on this BI tool, showcasing your knowledge and any previous projects using QuickSight can set you apart from other candidates.
✨Tip Number 2
Brush up on your SQL skills, particularly in data querying and transformation. Being able to demonstrate your proficiency in SQL during discussions or interviews will highlight your technical capabilities and problem-solving skills.
✨Tip Number 3
Prepare examples of how you've previously collaborated with cross-functional teams. This role requires effective communication and teamwork, so having specific instances ready to share can illustrate your ability to engage stakeholders and present insights.
✨Tip Number 4
Stay updated on the latest trends in data visualisation and analytics. Being knowledgeable about emerging technologies can show your commitment to continuous learning and innovation, which is highly valued in our dynamic environment.
We think you need these skills to ace Data Visualisation Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with BI tools, particularly AWS QuickSight, and your proficiency in SQL. Emphasise any hands-on experience with AWS services like Redshift, S3, and Athena.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data visualisation and how your skills align with the company's goals. Mention specific projects where you've successfully developed interactive dashboards or data solutions.
Showcase Your Analytical Skills: Provide examples of how you've turned business needs into data solutions. Highlight any experience you have with exploratory data analysis and how it led to actionable insights.
Prepare for Communication: Since the role involves engaging stakeholders, be ready to discuss how you've effectively communicated insights in previous roles. Consider including a brief example in your application that demonstrates your confident communication style.
How to prepare for a job interview at Searchability®
✨Showcase Your BI Tool Expertise
Make sure to highlight your experience with BI tools, especially AWS QuickSight. Be prepared to discuss specific projects where you've used these tools to create impactful data visualisations.
✨Demonstrate SQL Proficiency
Since SQL is crucial for this role, come ready to discuss your experience with data querying and transformation. You might even be asked to solve a SQL problem on the spot, so brush up on your skills!
✨Communicate Clearly
As a Data Visualisation Developer, you'll need to engage with stakeholders effectively. Practice explaining complex data insights in simple terms, as this will demonstrate your ability to communicate with non-technical audiences.
✨Prepare for Technical Questions
Expect questions about AWS services like Redshift, S3, and Athena. Review your knowledge of these technologies and think of examples where you've successfully implemented them in your previous work.
