Insights Analyst in Preston

Insights Analyst in Preston

Preston Full-Time 30000 - 36000 £ / year (est.) Home office (partial)
Local Pensions Partnership

At a Glance

  • Tasks: Analyse data to provide insights that drive strategic decisions.
  • Company: Join a growing team in a dynamic and innovative environment.
  • Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
  • Other info: Flexible remote options available for those living further away.
  • Why this job: Make an impact by turning data into actionable insights.
  • Qualifications: Strong analytical skills and experience with data analysis tools.

The predicted salary is between 30000 - 36000 £ per year.

Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.

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.

Insights Analyst in Preston 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.

Local Pensions Partnership

Contact Details:

Local Pensions Partnership Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Insights Analyst in Preston

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 in Preston

Communication Skills
Problem-Solving Skills
Analytical Skills
Stakeholder Management
Attention to Detail
Data Analysis
SQL

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.