At a Glance
- Tasks: Design and deliver data-driven solutions to solve business problems and improve decision-making.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous learning and development.
- Why this job: Make an impact by transforming data into actionable insights and visualisations.
- Qualifications: Experience in data analysis, SQL, and data visualisation tools is essential.
The predicted salary is between 30000 - 40000 £ per year.
We are looking for a highly motivated Data Analyst / Data Visualization Engineer to design and deliver data-driven solutions that help solve business problems and improve decision-making. The ideal candidate should possess strong analytical skills, hands-on experience in data visualization, SQL, and scripting languages such as Python or R, along with the ability to understand customer business objectives and translate them into impactful analytics solutions.
Key Responsibilities
- Understand customer business requirements and develop end-to-end data-centric solutions.
- Design, develop, and maintain interactive dashboards, reports, and visualizations using BI tools.
- Build and optimize complex SQL queries, datasets, and data pipelines for analytics and reporting needs.
- Develop and operationalize analytics workflows using Python, R, or similar scripting languages.
- Analyze large datasets to identify trends, insights, and opportunities for business improvement.
- Collaborate with cross-functional teams including business stakeholders, developers, and data engineers.
- Ensure data accuracy, consistency, and quality across reporting solutions.
- Continuously enhance technical capabilities and stay updated with emerging analytics technologies and market trends.
- Contribute as a Subject Matter Expert (SME) within the assigned scope of services and responsibilities.
Required Skills & Qualifications
- Strong communication skills with the ability to understand and translate business objectives into analytics solutions.
- Good critical thinking and problem-solving abilities.
- Hands-on experience in building compelling and user-friendly data visualizations using commercial and/or open-source BI tools.
- Strong proficiency in SQL for building and maintaining complex queries and data pipelines.
- Experience with Python, R, or similar scripting languages for analytics automation and workflow operationalization.
- 1–2 years of experience in data analysis and visualization.
- Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or equivalent.
Nice-to-Have Skills
- Experience with cloud platforms such as AWS, Cloudera, or similar technologies.
- Exposure to data pipeline development and database development.
- Understanding of statistical modelling, predictive analytics, or machine learning concepts.
- Certifications or experience in leading analytics and BI platforms such as Tableau, Qlik, MicroStrategy, Informatica, Talend, Microsoft BI Stack, SAS, IBM Analytics Solutions.
Data Analyst / Data Visualization Engineer in Penarth employer: ELLIOTT MOSS CONSULTING PTE. LTD.
Join a forward-thinking company that values innovation and collaboration, where as a Data Analyst / Data Visualization Engineer, you will have the opportunity to work with cutting-edge technologies in a dynamic environment. Our supportive work culture fosters continuous learning and professional growth, ensuring you can enhance your skills while contributing to impactful data-driven solutions. Located in a vibrant area, we offer a range of benefits including flexible working arrangements, competitive salaries, and a commitment to employee well-being, making us an excellent employer for those seeking meaningful and rewarding careers.
Contact Details:
ELLIOTT MOSS CONSULTING PTE. LTD. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst / Data Visualization Engineer in Penarth
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to tackle technical questions and case studies that demonstrate your analytical thinking and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Analyst / Data Visualization Engineer in Penarth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the skills and experiences mentioned in the job description. Highlight your data visualisation projects and any SQL or scripting work you've done. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your background aligns with our needs. Don’t forget to mention specific tools and technologies you’ve worked with that are relevant to the role.
Showcase Your Projects:If you have a portfolio of data visualisations or analytics projects, include it! We love seeing real examples of your work. It gives us insight into your style and capabilities, so don’t hold back on sharing your best pieces.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining StudySmarter!
How to prepare for a job interview at ELLIOTT MOSS CONSULTING PTE. LTD.
✨Know Your Data Tools
Make sure you brush up on your skills with SQL, Python, and any BI tools mentioned in the job description. Be ready to discuss specific projects where you've used these tools to create data visualisations or solve business problems.
✨Understand the Business
Before the interview, research the company and its industry. Think about how your analytical skills can help them achieve their business objectives. Prepare examples of how you've translated business needs into actionable analytics solutions.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've tackled complex data challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your critical thinking abilities.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, and how they measure success in data analytics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
