Business Intelligence Analyst

Aspire Personnel Ltd
Poole
1 month ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst - SAP

Business Intelligence Analyst

Business Intelligence Analyst

Business Data Analyst

Business Intelligence Analyst – Permanent, Poole, Dorset (MUST live within commutable distance, as this role will be primarily onsite, with some capacity to work from home)

Salary up to £55k plus excellent benefits.

Our client provides innovative fully managed solutions within the automotive fleet management sector.

As a Business Intelligence Analyst, you’ll be expanding the team of BI specialists, working to build data visualisations, tools and dashboards to deliver insights to internal and external customers and our commercial teams that unlock value. Supporting the business in driving activity insight and customer intelligence through BI identifying emerging issues and recommending suggestions that enhance performance.

The Business Intelligence Analyst will be responsible for all internal, customer and supplier data and the visualisation of activity insights leveraging the group’s in-house systems and 3rd party data sources.

Key Responsibilities:

  • Lead design, build and deployment of BI solutions (e.g. reporting tools)
  • Translate business needs to technical specifications
  • Maintain and support data analytics platforms
  • Create and enforce policies for effective data management
  • Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data
  • Conduct unit testing and troubleshooting
  • Evaluate and improve BI systems
  • Collaborate with teams to integrate systems
  • Develop and execute database queries and conduct analyses
  • Create visualisations and reports for requested projects
  • Develop and update technical documentation
  • Identify and analyse data to deliver trends and recommend suggestions to improve performance
  • Deliver business insight reports and data extraction when needed
  • Challenge where data may compromise the integrity of the group’s systems
  • Follow the group’s IT policies to ensure digital databases and archives are protected from security breaches and data losses
  • Liaise with both internal and external stakeholders

Key Skills and Technical Expertise required:

  • 5 years’ experience in a BI role or relevant background.
  • Strong SQL skills for the analysis and creation of SQL statements
  • A proven track record in the design and development of BI databases and tools including data visualisations, reports and dashboards
  • Experience in presenting analysis and visualisations in a clear way to communicate complex messages to technical and non-technical audiences
  • Skilled in building and running reports/ dashboards in BI, Excel and at least one programming language to deliver analytical work
  • Experience of building, integrating and solutioning with PowerApps
  • Strong working knowledge of common IT software (Power BI, Word, Excel, Email, Visio, Internet)
  • Familiarity with modern database and information system technologies, especially T-SQL databases
  • Demonstrate ability to motivate and communicate with others at all levels and ability to use these relationships to deliver service improvements.
  • Ability to work under pressure and follow company policies and procedures
  • Excellent organisational skills
  • Able to interpret MI/BI and develop strategy and make recommendations
  • Ability to work accurately at speed
  • Analytical and problem-solving oriented
  • A good understanding of data administration and management functions (collection, analysis, distribution etc.)

This is an excellent opportunity to join at a period of extensive growth within a forward-thinking organisation.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology, Analyst, and General Business

Industries

Information Services and Technology, Information and Media

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.