Power BI Developer

Bishopsgate
1 year ago
Applications closed

Related Jobs

View all jobs

Junior Business Intelligence Developer

Business Intelligence BI Developer

Business Intelligence Developer

Business Intelligence Developer

Lead Business Intelligence Analyst

Lead Business Intelligence Analyst

Power BI Developer – Leading Insurance Powerhouse

Location: Bishopsgate, London (On-site, 5 days a week)
Salary: £75,000 base + generous bonus

Are you a Power BI Developer looking to work at the forefront of technology within a rapidly growing insurance company? Our client, a true powerhouse in their market, is seeking a skilled developer to join their tech-driven team and deliver high-impact insights straight to the C-suite.

About the Role: As the Power BI Developer, you will have a crucial dual responsibility. You’ll ensure the current Power BI processes run smoothly while also developing a new, more accessible Power BI framework to be used across the business. This role offers a unique opportunity to influence high-level decisions and drive data accessibility within a company renowned for its commitment to technology.

Key Responsibilities:

  • Create and maintain Power BI reports that are directly consumed by the C-suite, ensuring data accuracy and relevance.

  • Keep existing Power BI processes up and running, troubleshooting and optimizing where necessary.

  • Develop a new, more accessible Power BI process that broadens data accessibility for other departments within the organization.

    Tech Stack & Skills:

  • Expertise in Power BI and the Azure platform.

  • Familiarity with data engineering tools is a plus.

  • Strong data visualization skills and an ability to convey data insights clearly to senior leadership.

    Why Join? This is a rare opportunity to work in a thriving, innovative insurance company that places technology at the heart of its operations. If you’re ready to bring your Power BI expertise into a dynamic environment with significant career growth potential, apply today

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.

Careers

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.

Jobs

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.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 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.