Fruition IT | Senior Data Analyst

Fruition IT
Glasgow
3 months ago
Applications closed

Senior Data Insights Analyst

Circa £50,000 basic + excellent benefits package

West Yorkshire - Hybrid - 1 day per week on-site

A dynamic and forward-thinking financial services organisation, currently going through a major business transformation, are seeking a talented Senior Data Analyst with extensive experience in finance environments.

The Senior Data Insights Analyst will be responsible for advancing the company's financial crime surveillance technology for screening high-risk customers and monitoring transactions.

Working in a dedicated financial crime and fraud team, the Senior Data Analyst will provide technical guidance and take the lead on projects aimed at innovating analytics technology and implementing changes.

Senior Data Analyst - Key Requirements:

  • Significant experience working in a similar Senior Data Insights Analyst role, with the ability to lead on analytics projects
  • Strong data analytical skills - i.e. SQL, Python, SAS, etc.
  • Experience working in the financial services sector
  • Excellent communication and stakeholder management skills
  • Any experience in financial crime or anti-money laundering (AML) will be beneficial but not essential

Senior Data Analyst - Salary & Benefits:

  • Basic salary circa £50,000, depending on experience
  • Company bonus - up to 15% max.
  • Enhanced company pension scheme
  • Private healthcare & medical insurance
  • 25 days holiday, increasing with length of service
  • Flexible working hours
  • Hybrid working - circa 1 day per week on-site

This is an exciting opportunity for an accomplished Senior Data Insights Analyst with a strong background in financial services to join an organisation at the start of a journey to improve and modernise all areas of the business, with the successful applicant being given the chance to play an integral role in this.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

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.

Careers

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Careers

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Careers

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.