At a Glance
- Tasks: Ensure data accuracy and deliver meaningful insights through engaging dashboards and reports.
- Company: Join a forward-thinking organisation focused on data-driven decision-making.
- Benefits: Enjoy 27 days annual leave, a non-contributory pension, and flexible working arrangements.
- Other info: Work in a modern office with excellent transport links and great career growth opportunities.
- Why this job: Make an impact by transforming complex data into actionable insights for better decision-making.
- Qualifications: Experience with large datasets, strong analytical skills, and advanced Excel proficiency.
We are seeking an experienced Data Analyst to support the Business Intelligence function by ensuring data is accurate, reliable, and trusted, enabling the delivery of meaningful insights and high-quality reporting.
Key Responsibilities
- Business Intelligence: Collect, validate, and maintain high-quality data to ensure colleagues and decision-makers have access to accurate and reliable information.
- Reporting & Analysis: Develop engaging dashboards and reports, communicate findings clearly, and provide evidence-based recommendations that support excellent service delivery, effective asset management, and informed decision-making.
- Benchmarking: Compare organisational performance against sector peers to identify best practices, highlight opportunities for improvement, and support continuous improvement initiatives.
- Insight & Interpretation: Use analytical thinking and problem-solving skills to identify trends, anomalies, and key insights, translating complex data into actionable recommendations.
Working closely with IT and operational teams, you will provide ongoing assurance to managers and senior leaders regarding data quality, governance, and opportunities for improvement.
About You
- Proven experience working in a data-driven environment with large and complex datasets.
- Strong analytical, critical thinking, and problem-solving abilities.
- Advanced Microsoft Excel skills and confidence working with multiple data sources.
- Experience entering, maintaining, and validating data across various IT systems and databases.
- Excellent attention to detail and a strong understanding of data analysis and data modelling.
- A naturally inquisitive mindset with the ability to communicate findings clearly to a range of stakeholders.
Benefits
- 27 days annual leave.
- Non-contributory pension scheme.
- Comprehensive employee benefits package.
- Flexible working arrangements through a flexi-time scheme.
- Modern office environment with excellent transport links.
Additional Information
Applicants must have the right to work in the UK. Equal Opportunities Employer. No agencies please.
Data Quality and Insight Analyst employer: Newlon Housing
As a Data Quality and Insight Analyst, you will thrive in a supportive and dynamic work environment that prioritises employee growth and development. With a comprehensive benefits package, including 27 days of annual leave and flexible working arrangements, our company fosters a culture of collaboration and innovation, ensuring that your contributions lead to meaningful insights and impactful decision-making. Located in a modern office with excellent transport links, we are committed to providing a workplace where your analytical skills can shine and make a real difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality and Insight Analyst
✨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 Newlon Housing!
✨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 Quality and Insight Analyst at Newlon Housing.
✨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 Newlon Housing.
✨Apply Directly through Our Website
When you find a suitable opening like Data Quality and Insight Analyst at Newlon Housing, 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 Quality and Insight Analyst
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 Newlon Housing, 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 Newlon Housing. 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 Newlon Housing
✨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 Newlon Housing!
✨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.
