At a Glance
- Tasks: Transform complex data into clear insights that drive impactful decisions.
- Company: Join a dynamic team in a fast-paced, innovative environment.
- Benefits: Enjoy 30 days holiday, flexible working, and a competitive salary.
- Other info: Hybrid role with excellent training and career development opportunities.
- Why this job: Make a real difference by influencing decisions with your analytical skills.
- Qualifications: Experience in data analysis, strong Excel skills, and a curious mindset.
- Insight Analyst
- Widnes (Hybrid Working)
- £38,736 per annum plus benefits
- Permanent, Full Time
Are you an analytical thinker who loves getting underneath the data to understand what’s really happening and why?
We’re looking for an Insight Analyst to join a small, fast-paced team where your work will have real visibility and impact.
This isn’t a role where you’ll simply produce reports and dashboards.
You’ll turn complex customer and operational data into clear, meaningful insight, identifying trends, uncovering root causes and helping stakeholders understand what actions they should take as a result.
As part of a small and collaborative team, you’ll sometimes need to wear more than one hat.
We’re looking for someone who is naturally curious, confident in their thinking and comfortable constructively challenging assumptions.
You'll have the opportunity to work with a broad range of data, develop your insight skills and see your analysis directly influence decisions and service improvements.
This is a hybrid role.
You’ll be expected to work from the office quite a bit during your initial training period to help you get fully up to speed.
Following your training, you’ll typically attend the office on average twice a week.
What we're looking for
We’re looking for someone with experience in an analytical, insight or similar data-focused role.
You'll ideally have
- Strong analytical and critical-thinking skills
- Experience within Customer Experience, customer insight or social housing would be beneficial, but it isn't essential.
- Advanced or strong working knowledge of Excel.
- Strong stakeholder management experience.
- Some practical SQL capability.
- Experience using a data visualisation or dashboarding tool such as Power BI, Qlik, Tableau or similar.
- Strong data storytelling skills and the ability to explain the meaning behind the numbers.
- The ability to produce concise, engaging written reports.
- Confidence communicating and presenting findings to different stakeholders.
- A basic understanding of statistical techniques such as correlation and regression.
- The confidence to ask questions, challenge thinking and make evidence-based recommendations.
Most importantly, we want someone who can move beyond "what does the data say?" and confidently answer "why does it matter, and what should we do about it?"
We're more interested in your analytical judgement, curiosity, communication skills and evidence of using insight to influence decisions and improve services than your sector background.
What You’ll Get
- 30-day holiday entitlement (increasing to 33 days after 3 years’ service), plus bank holidays
- Opportunity to buy or sell holidays
- Competitive salary
- Electric Vehicle Salary Sacrifice Scheme
- Flexible and Hybrid working
- Supported training and development opportunities
- Health and Wellbeing Cash Plan
- Competitive Pension Scheme
- Advert Close Date: Sunday 25th October
- Shortlisting Date: Tuesday 27th October
- Interview Date: Tuesday/Wednesday 3rd /4th November
(Formal Interview & Presentation based on pre-interview task which will be an excel based data exercise and presented in the interview)
Insight Analyst in Widnes employer: Halton Housing
Halton Housing is an exceptional employer that prioritises employee well-being and professional growth, offering a competitive salary and generous benefits such as 30 days of holiday and a robust pension scheme. With a supportive work culture and hybrid working arrangements, we empower our team to make a meaningful impact in the community while advancing their careers in the housing sector.
StudySmarter Expert Advice🤫
We think this is how you could land Insight Analyst in Widnes
✨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 Halton 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 Insight Analyst at Halton Housing.
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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 Halton Housing.
✨Apply Directly through Our Website
When you find a suitable opening like Insight Analyst at Halton 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 Insight Analyst in Widnes
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 Halton 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 Halton 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 Halton 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 Halton 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.
