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For Companies At a Glance
- Tasks: Design and develop interactive data visualisations and dashboards using QuickSight.
- Company: Join a thriving company in Manchester focused on data transformation and strategic insights.
- Benefits: Enjoy hybrid working, combining office collaboration with remote deep work flexibility.
- Why this job: Make a real impact in a dynamic team where your contributions shape success.
- Qualifications: Strong experience with BI tools, SQL proficiency, and AWS knowledge are essential.
- Other info: This role offers 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.
The Role: 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.
About You:
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.
Business Intelligence Developer - BI / AWS / Quicksight - Manchester employer: Mayflower Recruitment Ltd
Contact Detail:
Mayflower Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Developer - BI / AWS / Quicksight - Manchester
✨Tip Number 1
Familiarise yourself with AWS QuickSight and other BI tools. Since the role specifically mentions QuickSight, showcasing your hands-on experience with this tool during discussions can set you apart from other candidates.
✨Tip Number 2
Brush up on your SQL skills. Being proficient in SQL is crucial for this position, so be prepared to discuss your experience with data querying and transformation in detail during interviews.
✨Tip Number 3
Demonstrate your ability to work autonomously. Share examples of past projects where you took ownership and proactively solved problems, as this aligns with the role's requirement for independence and initiative.
✨Tip Number 4
Prepare to engage with stakeholders effectively. Practice articulating how you've gathered requirements and communicated insights in previous roles, as strong communication skills are essential for this position.
We think you need these skills to ace Business Intelligence Developer - BI / AWS / Quicksight - Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with BI tools, especially AWS QuickSight, and your proficiency in SQL. Use specific examples that demonstrate your ability to develop and maintain data visualisations and dashboards.
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 key responsibilities mentioned in the job description, particularly your experience in engaging with stakeholders and translating business needs into actionable insights.
Showcase Relevant Projects: If you have worked on projects involving data visualisation or analytics, include them in your application. Describe your role, the tools you used, and the impact your work had on the project outcomes. This will demonstrate your hands-on experience and problem-solving skills.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a data-driven role.
How to prepare for a job interview at Mayflower Recruitment Ltd
✨Showcase Your Technical Skills
Make sure to highlight your experience with BI tools, especially AWS QuickSight. Be prepared to discuss specific projects where you've used SQL for data querying and transformation, as well as any hands-on experience with AWS services like Redshift and S3.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in the past. This role requires strong analytical skills, so be ready to explain your thought process and how you translated business needs into actionable data insights.
✨Engage with Stakeholders
Since the role involves working closely with clients, practice how you would communicate project requirements and present insights. Show confidence in your ability to engage with stakeholders and refine project scopes based on their feedback.
✨Stay Updated on Best Practices
Research the latest trends and best practices in data visualisation and analytics. Being knowledgeable about emerging technologies will not only impress your interviewers but also demonstrate your commitment to continuous learning in this fast-evolving field.
