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- Tasks: Design and develop interactive data visualisations and dashboards to drive business insights.
- Company: Join a thriving company in Manchester focused on data transformation and innovation.
- Benefits: Enjoy hybrid working, combining office collaboration with remote deep work flexibility.
- Why this job: Be part of a dynamic team where your contributions directly impact success and growth.
- Qualifications: Strong experience with BI tools, SQL, and AWS services is essential.
- Other info: Opportunity for significant autonomy and involvement in the entire data journey.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Data Visualisation Developer as we deliver an exciting data transformation, playing a key role in shaping and executing this initiative. Leveraging data-driven insights to inform strategic decisions, this role will take ownership of our BI suite, ensuring it delivers valuable insights to the business. In a challenging economy, we continue to thrive, and this is an excellent opportunity to work in a small but dynamic team where your contributions will directly influence our success.
Our offices are in Trafford Park, Manchester and the role consists of hybrid working, where we like to be in the office for collaboration and team building and work from home whilst doing deep work.
As a Data Visualisation Developer, you will play a pivotal role in designing, developing, and maintaining business intelligence solutions. Beyond just creating dashboards, you will define relevant metrics, conduct exploratory analysis, and contribute to the overall data ecosystem. You will need to be proactive, capable of working independently, and confident in engaging with stakeholders to refine project scope and translate business needs into actionable data insights. This role offers significant autonomy, requiring a hands-on approach and an eagerness to be involved in the entire end-to-end data journey.
Key Responsibilities:- Develop, enhance, and maintain interactive data visualisations and dashboards using QuickSight.
- Define and implement key business metrics, ensuring they align with strategic objectives.
- Work closely with clients to gather requirements, refine project scopes, and communicate insights effectively.
- Create and maintain scalable and efficient databases to support analytics needs.
- Perform exploratory data analysis to uncover trends, anomalies, and actionable insights.
- Ensure data accuracy, consistency, and integrity across reports and dashboards.
- Collaborate with other teams to support data-driven decision-making processes.
- Stay up to date with best practices and emerging technologies in data visualisation and analytics.
Here’s what we’re looking for:
- Strong experience with BI tools, ideally AWS QuickSight.
- Proficiency in SQL for data querying, transformation, and optimisation.
- Hands-on experience with AWS services such as Redshift, S3, and Athena is highly desirable.
- Ability to work autonomously, take ownership of projects, and proactively find solutions.
- Strong analytical and problem-solving skills, with an ability to translate business needs into data solutions.
- Excellent communication skills and confidence in engaging with stakeholders to define project requirements and present insights.
- Experience in defining and maintaining data models, ETL pipelines, and databases is a plus.
Data Visualisation Developer - BI / AWS - Manchester employer: Mayflower Recruitment Ltd
Contact Detail:
Mayflower Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Visualisation Developer - BI / AWS - Manchester
✨Tip Number 1
Familiarise yourself with AWS QuickSight and other BI tools mentioned in the job description. Consider creating a personal project or portfolio that showcases your ability to develop interactive dashboards, as this will demonstrate your hands-on experience.
✨Tip Number 2
Brush up on your SQL skills, focusing on data querying and transformation techniques. You might want to practice by working on sample datasets to refine your ability to extract and manipulate data effectively.
✨Tip Number 3
Engage with the data visualisation community online. Join forums or social media groups where you can discuss best practices and emerging technologies. This will not only enhance your knowledge but also help you network with professionals in the field.
✨Tip Number 4
Prepare to showcase your communication skills during the interview. Think of examples where you've successfully engaged with stakeholders to gather requirements or present insights, as this is crucial for the role.
We think you need these skills to ace Data Visualisation Developer - BI / AWS - Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with BI tools, particularly AWS QuickSight, and showcases 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, express your enthusiasm for the role and the company. Discuss how your skills align with the responsibilities outlined in the job description, particularly your ability to work autonomously and engage with stakeholders.
Showcase Your Analytical Skills: Provide examples of past projects where you defined key business metrics or performed exploratory data analysis. Highlight how your insights led to actionable outcomes, demonstrating your problem-solving abilities.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a Data Visualisation Developer.
How to prepare for a job interview at Mayflower Recruitment Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with BI tools, especially AWS QuickSight. Bring examples of dashboards you've created and be ready to explain the metrics you defined and how they aligned with business objectives.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical skills. Prepare to share specific instances where you identified trends or anomalies in data and how you translated those insights into actionable recommendations for stakeholders.
✨Engage with Stakeholders
Since this role involves working closely with clients, practice articulating how you gather requirements and refine project scopes. Highlight your communication skills and provide examples of how you've effectively presented insights to non-technical audiences.
✨Emphasise Autonomy and Initiative
This position requires a proactive approach, so be ready to discuss times when you took ownership of a project. Share how you managed your time and resources to deliver results independently, showcasing your ability to work autonomously.
