Power Bi Developer - London

SSP
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Business Intelligence Developer

BI Developer

Business Intelligence Developer (SQL / ETL / SSIS / PowerBI)

Business Intelligence Developer (SQL / ETL / SSIS / PowerBI)

PowerApps Developer (Engineering, Construction)

Business Intelligence Developer

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

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.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

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.