Data Visualisation Developer in Trafford Park

Data Visualisation Developer in Trafford Park

Trafford Park Full-Time 55000 - 55000 £ / year (est.) Home office (partial)
Recruitment Resolution

At a Glance

  • Tasks: Create stunning data visualisations and dashboards to drive business insights.
  • Company: Fast-paced tech company in Manchester, thriving on collaboration and innovation.
  • Benefits: Up to £55k salary, performance bonuses, flexible working, and 25 days holiday.
  • Other info: Enjoy career development support, coaching, and a chance to work with cutting-edge technologies.
  • Why this job: Join a pivotal role in a growing company and make a real impact on data transformation.
  • Qualifications: Experience with BI tools, SQL, and AWS services is a plus.

The predicted salary is between 55000 - 55000 £ 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 in Trafford Park employer: Recruitment Resolution

As a Self-Employed Independent Financial Advisor with this esteemed client, you will benefit from the flexibility of remote work or the vibrant atmosphere of our Mayfair office in London. We pride ourselves on fostering a supportive work culture that allows you to focus on your passion for advising clients while we handle compliance and administration. With opportunities for professional growth and the chance to build long-term relationships with a diverse portfolio of clients, this role is perfect for those seeking meaningful and rewarding employment in the financial services sector.

Recruitment Resolution

Contact Details:

Recruitment Resolution Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Visualisation Developer in Trafford Park

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Recruitment Resolution!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Visualisation Developer at Recruitment Resolution.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Recruitment Resolution.

Apply Directly through Our Website

When you find a suitable opening like Data Visualisation Developer at Recruitment Resolution, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Visualisation Developer in Trafford Park

Data Visualisation
AWS QuickSight
SQL
AWS Redshift
AWS S3
AWS Athena
Analytical Skills

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Recruitment Resolution, 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 Recruitment Resolution. 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 Recruitment Resolution

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!

Showcase Your Projects

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 Recruitment Resolution!

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.