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For Companies At a Glance
- Tasks: Develop and maintain interactive data visualisations and dashboards using QuickSight.
- Company: Join a fast-paced tech business in Manchester, thriving on data transformation.
- Benefits: Enjoy a competitive salary, flexible working, 25 days holiday, and career development support.
- Why this job: Be part of an exciting growth phase, impacting the entire data journey autonomously.
- Qualifications: Strong experience with BI tools, SQL proficiency, and analytical problem-solving skills required.
- Other info: Opportunity for 1:1 coaching and to choose your own tech setup.
The predicted salary is between 42000 - 66000 £ per year.
Top reasons to work for this Client:
- Basic salary to 55k per annum.
- Performance Bonus.
- Flexible hybrid working pattern.
- Manchester office; Trafford Park.
- Established, fast paced collaborative Technology Business.
- Joining at an exciting time of company growth, delivering a data transformation project.
- Pivotal role, working on internal and client projects, taking ownership of BI Suite.
- Rewarding blend: design, develop, enhance & maintain business intelligence solutions.
- Opportunity to impact in an autonomous role in the entire end to end data journey.
- 25 days holiday + BH, contributory pension, cycle scheme, choose your own tech, home office setup support, supporting charity work.
- Investment on your career development and benefit from 1:1 coaching.
Broad Core 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.
Expected Qualifications, Skills & Experience:
- 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 employer: Recruitment Resolution
Contact Detail:
Recruitment Resolution Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Visualisation Developer
✨Tip Number 1
Familiarise yourself with AWS QuickSight and other BI tools mentioned in the job description. Consider creating a portfolio of sample dashboards or visualisations to showcase your skills, as this can set you apart during discussions.
✨Tip Number 2
Brush up on your SQL skills, focusing on data querying and transformation techniques. Being able to demonstrate your proficiency in SQL during interviews will be crucial, so practice common queries and optimisation strategies.
✨Tip Number 3
Research the company’s recent projects and their approach to data transformation. This knowledge will not only help you tailor your conversations but also show your genuine interest in their work and how you can contribute.
✨Tip Number 4
Prepare to discuss your experience with data models and ETL pipelines. Be ready to share specific examples of how you've successfully implemented these in past roles, as this will highlight your hands-on experience and problem-solving abilities.
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 relevant projects where you've developed data visualisations or dashboards.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to take ownership and work autonomously, as well as your strong analytical skills.
Showcase Relevant Projects: If you have a portfolio of previous work, include links or descriptions of projects that showcase your skills in data visualisation and analytics. Highlight any experience with AWS services like Redshift, S3, and Athena.
Prepare for Interviews: Be ready to discuss your technical skills and how they relate to the job. Prepare examples of how you've gathered requirements from clients and translated business needs into data solutions. Practice explaining complex data concepts in simple terms.
How to prepare for a job interview at Recruitment Resolution
✨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 Your 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 how you translate business needs into effective data solutions.
✨Engage with Stakeholders
Since communication is key in this role, practice articulating your thoughts clearly. Think of instances where you've successfully gathered requirements from clients or presented insights, and be ready to share those experiences.
✨Stay Updated on Industry Trends
Research the latest best practices and emerging technologies in data visualisation and analytics. Showing that you're proactive about staying informed will demonstrate your commitment to professional growth and innovation.
