Business Intelligence Analyst

Fynity
Cambridgeshire
3 days ago
Create job alert

Business Intelligence Analyst - Hybrid/Cambridgeshire

Are you a BI Analyst who thrives on transforming data into actionable insights that drive real business impact?

Do you have strong skills in Power BI, building automated pipelines and SQL, with a commercial mindset that ensures your work delivers tangible value to customers?

If so, our client, a leading financial services provider, wants to hear from you!

What we are looking for:We are seeking a high-calibre Business Intelligence Analyst who is ambitious, authentic, and enjoys working as part of a collaborative and supportive team. In this role, you will play a pivotal part in shaping data-driven decision-making, providing crucial insights that enhance customer experience, improve operational efficiency, and drive profitability.

Your Role & Impact:As a BI Analyst, you will work closely with the data science team and multiple business units, turning complex datasets into meaningful visualisations and reports. You will be instrumental in developing self-service dashboards, predictive models, and advanced analytics to support key business strategies.

Day-to-day, you will:

  • Access, clean, and analyse external and internal data sources to inform business strategy.
  • Develop self-service interactive visualisations, dashboards, and reports to enhance decision-making.
  • Undertake basic predictive and statistical modelling to drive efficiency and growth.
  • Collaborate with stakeholders to understand key business questions and deliver impactful insights.
  • Communicate findings in a clear, outcome-focused manner to non-technical audiences.
  • Ensure data accuracy, compliance, and alignment with best practices and governance frameworks.

Key Requirements:

You will be an analytical and commercially driven professional who balances technical expertise with a strong understanding of business impact. To be successful in this role, you should have:

  • Strong proficiency in Microsoft Power BI, including DAX and Power Query M.
  • Advanced SQL skills, with experience in relational and NoSQL databases.
  • Experience with data visualisation tools (Power BI, Tableau, etc.) and best practices.
  • Ability to develop, manage, and optimise interactive dashboards for key stakeholders.
  • Programming skills in Python or R for data analysis and modelling.
  • Knowledge of statistical methods, predictive modelling, and machine learning fundamentals.
  • Experience working in cloud-based environments (AWS, Azure, GCP) is desirable.
  • Understanding of data governance, GDPR compliance, and data security best practices.
  • A proactive approach to identifying opportunities to improve data strategy and insights.
  • Strong communication skills, with the ability to translate complex data into clear, actionable recommendations.
  • A collaborative mindset and ability to work effectively across teams and business units.

Why This Role?

This is more than just a technical role - it’s an opportunity to make a meaningful business impact.

An excellent package is on offer, including:

Competitive basic salary of £35,000-£40,000

Bonus up to 20%

Pension Contributions (3%-6% employee/6%-9% employer)

Benefits such as private medical, 25 days holiday, 3 volunteering days, enhanced maternity, paternity, and adoption leave, plus employee assistance and wellbeing programs.

This is a hybrid role where you can expect to visit the office a minimum of once a week/fortnight (typically on a Thursday) to collaborate in person with your team.

If you are a highly skilled BI Analyst who is eager to drive commercial value through analytics and innovation, apply today and take the next step in your career!

#J-18808-Ljbffr

Related Jobs

View all jobs

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst - Hybrid

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.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.