At a Glance
- Tasks: Design and deliver data-driven solutions to solve business problems and improve decision-making.
- Company: Join a forward-thinking company focused on innovative data analytics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and emerging technologies.
- Why this job: Make an impact by transforming data into actionable insights and visualisations.
- Qualifications: Experience in SQL, data visualisation, and scripting languages like Python or R.
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
- Must-Have Skills
- 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.
SQL-Driven Data Visualization & Analytics Engineer in Penarth employer: ELLIOTT MOSS CONSULTING PTE. LTD.
Join a forward-thinking company that values innovation and collaboration, where your role as a SQL-Driven Data Visualization & Analytics Engineer will empower you to create impactful data solutions. With a strong emphasis on employee growth, we offer continuous learning opportunities and a supportive work culture that encourages creativity and teamwork. Located in a vibrant area, our workplace provides unique advantages such as access to cutting-edge technologies and a diverse team dedicated to driving business success through data-driven insights.
Contact Details:
ELLIOTT MOSS CONSULTING PTE. LTD. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land SQL-Driven Data Visualization & Analytics Engineer in Penarth
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects and SQL queries. We recommend using platforms like GitHub to share your work – it’s a great way to demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analytics and visualisation. We suggest doing mock interviews with friends or using online resources to get comfortable discussing your experience and skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace SQL-Driven Data Visualization & Analytics Engineer in Penarth
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with SQL, data visualisation, and any relevant scripting languages like Python or R. We want to see how your skills align with our needs!
Showcase Your Projects:Include examples of your previous work, especially any dashboards or reports you've created. This gives us a clear picture of your capabilities and how you approach data-driven solutions.
Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points for key achievements and avoid jargon unless it's necessary. We appreciate clarity and directness!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at ELLIOTT MOSS CONSULTING PTE. LTD.
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries you've built and how they contributed to data-driven decisions. Practising common SQL problems can help you articulate your thought process during the interview.
✨Showcase Your Visualisation Skills
Bring examples of your previous work in data visualisation. Whether it's dashboards or reports, having a portfolio ready will demonstrate your hands-on experience. Be ready to explain the tools you used and the impact your visualisations had on business outcomes.
✨Understand the Business Context
Research the company and its industry to understand their business objectives. During the interview, relate your technical skills back to how they can solve specific business problems. This shows that you can translate analytics into actionable insights.
✨Be Ready for Technical Questions
Expect questions about Python or R, especially regarding how you've used these languages for analytics automation. Prepare to discuss any projects where you operationalised workflows, as this will highlight your practical experience and problem-solving abilities.
