At a Glance
- Tasks: Transform data into impactful stories and smart decisions for the business.
- Company: Join a leading pensions organisation with a friendly and sociable culture.
- Benefits: Competitive salary, hybrid working, and continuous personal development opportunities.
- Other info: Exciting career growth in a supportive environment.
- Why this job: Perfect for data enthusiasts who love spotting trends and making a difference.
- Qualifications: Experience in data analysis and a knack for asking the right questions.
Salary: £36,000 – £40,000, dependent on experience
Hours: Full-time, 37 hours per week
Location: Hybrid working, with 2 days per week in Preston, Lancashire. Remote-working contracts may be considered for candidates living 50+ miles from our Preston office.
A glance at the role: As our Planning Insights team continues to grow, we have a brand-new opportunity for an Insights Analyst to join us. In this role, you’ll help turn data into meaningful stories, practical recommendations and smarter decisions. You’ll deliver high-quality analysis, reporting and MI to support operational performance, resource planning and strategic decision-making across the business.
You’ll use descriptive and diagnostic analysis to understand trends, identify root causes and bring insight to life in a way that helps teams make informed decisions. If you enjoy spotting patterns, asking the right questions and turning data into action, this could be a brilliant next step.
You’ll also be joining a friendly, welcoming and sociable work culture, with plenty of opportunities for continuous personal and professional development. We’ll support you to reach your full potential.
So, if you’ve been looking for an opportunity to enhance your experience by joining a leading pensions organisation, we can’t wait to hear from you.
Insights Analyst employer: Local Pensions Partnership
At Local Pensions Partnership Administration (LPPA), we pride ourselves on being an exceptional employer, offering a collaborative and customer-focused work culture that empowers our employees to thrive. With competitive salaries, generous benefits including a robust pension scheme, and opportunities for professional growth, we ensure our team members feel valued and supported while making a meaningful impact in the pensions sector. Our hybrid working model and commitment to employee wellbeing further enhance the experience of working in our vibrant Preston office, making LPPA a fantastic place to build your career.
Contact Details:
Local Pensions Partnership Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Insights 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 Local Pensions Partnership!
✨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 Insights Analyst at Local Pensions Partnership.
✨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 Local Pensions Partnership.
✨Apply Directly through Our Website
When you find a suitable opening like Insights Analyst at Local Pensions Partnership, 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 Insights 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 Local Pensions Partnership, 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 Local Pensions Partnership. 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 Local Pensions Partnership
✨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 Local Pensions Partnership!
✨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.
