Remote BI Analyst – Power BI & Insight Delivery in Preston

Remote BI Analyst – Power BI & Insight Delivery in Preston

Preston Full-Time 31500 - 38500 £ / year (est.) Home office (partial)
LPPA Pensions

At a Glance

  • Tasks: Create insightful reports and dashboards using Power BI to drive decision-making.
  • Company: LPPA Pensions, a supportive and collaborative organisation focused on development.
  • Benefits: Remote/hybrid work, skill development in Power BI and Excel, and a focus on wellbeing.
  • Other info: Flexible working environment with opportunities for personal and professional growth.
  • Why this job: Join a dynamic team and make a real impact with your analytical skills.
  • Qualifications: Experience in business intelligence and a passion for data-driven insights.

The predicted salary is between 31500 - 38500 £ per year.

LPPA Pensions is seeking a Business Intelligence Analyst to join the BI team.

The role focuses on delivering accurate reporting, dashboards and insights to support decision-making across the organisation.

You will develop technical skills in Power BI and Excel while working in a remote/hybrid setup with two days per week in Preston.

You'll join a collaborative culture with a strong focus on development and wellbeing, supporting colleagues across the business with reliable information and

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Remote BI Analyst – Power BI & Insight Delivery in Preston employer: LPPA Pensions

At Local Pensions Partnership Administration (LPPA), we pride ourselves on being a supportive and collaborative employer, dedicated to the growth and development of our team members. As a Development Centre Delivery Lead, you'll enjoy a competitive salary, a comprehensive benefits package, and a vibrant work culture that values continuous improvement and employee wellbeing. With opportunities for professional development and a focus on creating impactful learning experiences, LPPA is an excellent place to build a meaningful career in the heart of Preston.

LPPA Pensions

Contact Details:

LPPA Pensions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote BI Analyst – Power BI & Insight Delivery in Preston

Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like LPPA Pensions!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Remote BI Analyst – Power BI & Insight Delivery in Preston

Power BI
Excel
Reporting
Dashboard Development
Data Insights
Decision-Making Support
Collaboration

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at LPPA Pensions, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at LPPA Pensions

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with LPPA Pensions’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.