Business Intelligence Analyst

Michael Page
Liverpool
2 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst (Power BI / SQL)

Business Intelligence Analyst

Join to apply for the Business Intelligence Analyst role at Michael Page


Base pay range

The purpose of the Business Intelligence Analyst is to lead in the preparation and development of key business intelligence to enable efficient, effective and commercially focussed performance reporting within the business. The role will also ensure the data requirements of claims processing activity are met to ensure the business submits its claims in a timely and efficient manner.


Description

  • Develop and maintain reports and dashboards to support organisational goals.
  • Analyse complex datasets to provide actionable insights for decision-making.
  • Collaborate with stakeholders to identify and meet reporting requirements.
  • Ensure data accuracy and integrity across all analytics platforms.
  • Identify trends and patterns to support strategic initiatives.

Profile

  • Strong skills in PowerBI
  • Strong understanding of Data Modelling
  • Ability to interpret complex data and communicate findings effectively.
  • Proficiency in data visualisation and reporting tools.
  • Knowledge of data governance and best practices.
  • A degree in a related field, such as Computer Science, Mathematics, or Statistics.

Nice to have

  • Technical skills: Snowflake Scheme Design, Kimball Methodology, Star Schemas
  • Programmes: Snowflake

Job Offer

  • Hybrid working 1 day a week in the Liverpool office.
  • 25 days annual leave (pro-rata for part time) plus statutory bank holidays
  • Professional & Personal Development Funds
  • Bi-annual pay reviews

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Information Technology
  • Education Administration Programs

If you are looking for a permanent role in Liverpool which offers the above career opportunities and benefits, we encourage you to apply today.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.