Data Analyst - Hybrid BI & Insight Specialist

Data Analyst - Hybrid BI & Insight Specialist

Full-Time 30000 - 40000 £ / year (est.) Home office (partial)
Karbon Homes

At a Glance

  • Tasks: Deliver high-quality analysis and insights to drive operational improvements.
  • Company: Join Karbon Homes, a forward-thinking organisation in Newcastle upon Tyne.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on continuous improvement and innovation.
  • Why this job: Make a real impact by transforming data into actionable insights.
  • Qualifications: Experience in data analysis and strong communication skills are essential.

The predicted salary is between 30000 - 40000 £ per year.

Karbon Homes is recruiting a Data Analyst to join the Business Performance and Analytics team in Gosforth, Newcastle upon Tyne.

The role focuses on delivering high‑quality analysis, reporting and BI services, collating requirements and presenting insights to drive operational improvements.

The successful candidate will work across datasets, develop dashboards, and provide data‑led recommendations to stakeholders while ensuring data quality and continuous improvement.

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Data Analyst - Hybrid BI & Insight Specialist employer: Karbon Homes

Karbon Homes is an excellent employer, offering a supportive work culture that prioritises employee well-being and professional growth. With competitive benefits such as 26 days of annual leave and a health cash plan, team leaders in Stanley can thrive in a role that not only values their contributions but also fosters a sense of community and purpose in enhancing local environments.

Karbon Homes

Contact Details:

Karbon Homes Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst - Hybrid BI & Insight Specialist

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 Karbon Homes!

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 Analyst - Hybrid BI & Insight Specialist at Karbon Homes.

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 Karbon Homes.

Apply Directly through Our Website

When you find a suitable opening like Data Analyst - Hybrid BI & Insight Specialist at Karbon Homes, 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 Analyst - Hybrid BI & Insight Specialist

Data Analysis
Business Intelligence (BI)
Dashboard Development
Reporting Skills
Stakeholder Engagement
Operational Improvement
Data Quality Assurance

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 Karbon Homes, 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 Karbon Homes. 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 Karbon Homes

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 Karbon Homes!

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.