Power Bi Developer - London

SSP
London
1 year ago
Applications closed

Related Jobs

View all jobs

BI/Data Engineer

Senior Data Engineer - Azure, BI & Data Strategy

Senior Data Engineer - Azure, BI & Data Strategy

Data Engineer

Data Engineer

Senior Data Analyst

Power BI Developer - London

About the Role

Power BI Developer, London

AsPower BI Developeryou will play a key role in designing, developing, and maintaining dashboards using multiple data sources to drive business insights and decision-making.

Key Responsibilities

  • Design, develop, and test Power BI dashboards and datasets, supporting both standard and new requests.
  • Champion best practices in dashboard design within our Power BI Community of Practice.
  • Create user-friendly navigation, filters, and interactions for seamless self-service data exploration.
  • Perform data modelling and transformation within Power BI to ensure accuracy and optimise performance.
  • Collaborate with data engineers and analysts to maintain high-quality data integration and efficient pipelines.
  • Solve business challenges by working closely with stakeholders.
  • Document data and analytics processes to support knowledge sharing.

About You

We're looking for a talented individual who is passionate about data and business intelligence. You'll need:

Essential Skills & Experience:

  • 2+ years of Power BI report and dataset development experience.
  • Strong knowledge ofDAXand data modelling techniques.
  • Excellent understanding of data visualisation best practices.
  • Experience working inAgileteams.
  • A proactive and adaptable approach, thriving in a fast-paced environment.
  • Strong communication and interpersonal skills to build relationships across teams.

Desirable Skills & Experience:

  • Experience in alarge retail company.
  • Knowledge ofPower Query (M Language)for data integration.
  • Experience working with multiple data sources.

Why Join SSP?

  • Work with a global leader in food and beverage operations at travel locations.
  • Be part of adynamic teamimplementing Power BI across the organisation.
  • Develop your skills in a collaborative and fast-paced environment.
  • Gain exposure to exciting projects that make a real impact.

This role offers an opportunity to contribute to high-profile business intelligence initiatives and work alongside a team that values innovation, collaboration, and data-driven decision-making.

If you're ready to take the next step in your Power BI career,apply today!

SSP are proud to be an equal opportunity employer who seek to recruit and retain the most talented individuals from a variety of backgrounds, skills and perspectives.

#LI-AK1

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.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

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.

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.

🍪 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.