Power BI Developer

Catch Resource Management
Cheltenham
3 months ago
Applications closed

Related Jobs

View all jobs

Power BI Developer - Reinsurance

Power BI Developer - Insurance

Lead BI Developer - Leeds - Power BI and Tableau

Lead BI Developer - West London - Power BI and Tableau

BI Developer

Lead BI Developer

Power BI Developer –Power BI, Power BI Consultant, Power BI Developer, Business

Intelligence, BI Developer, Business Intelligence Developer, DAX, RLS, Row level security, ETL, D365 F&O, ERP, Azure analysis services, Power Platform, Power Apps, Power Automate - UK Remote - Cheltenham £45K - £50K


Our client are looking for Power BI Developer to join their internal team. In this role, you would be responsible for developing, maintaining and supporting the business intelligence solution in Power BI. You will need to work closely with business users to understand their requirements and translate them into actionable reports and analysis.


This will be a hybrid role requiring 2 days per week on site in Cheltenham.


Key Skills & Experience:


Essential:

  • Power BI
  • DAX
  • RLS (row-level security)

Beneficial:

  • ETL experience
  • Dynamics 365 FO / Other Microsoft ERP systems
  • Azure Analysis services
  • Excellent communicator, should be comfortable presenting in small / medium sized groups
  • Ability to understand business processes and translate them into a result.
  • Working as part of a team or individually where appropriate.
  • Ability to balance the demands of project and support work.


Main Responsibilities:


  • Interacting with our stakeholders to gather, understand and translate their requirements.
  • Create, maintain and support Power BI reports, including governance.
  • Collaborate with stakeholders and team members to ensure the delivery of robust solutions.
  • Ensure we are keeping up to date with the latest developments from Power BI and surrounding tools.
  • Provide some training and support to self-service users, to enable them to create their own solutions.


Location:UK Remote/ Cheltenham


Candidates must be eligible to work in this country.


Catch Resource Management is a leading provider of Dynamics AX, JD Edwards, NetSuite and other ERP resources to both end users and to product suppliers/authors.


Our consultants deliver a completely professional resourcing service, always backed up by our team of ERP specialists who are all experienced in full project life cycle implementation and support, thus ensuring that we fully understand our clients’ requirements and our candidates’ skills.


If you have the relevant skills and experience for this position we would welcome your application, however please note that we receive high levels of responses to our advertisements so can only immediately respond to those that are a close match. However, if you are interested in hearing about similar positions then please register on our website:www.catchgroup.com.

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 Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Careers

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Careers

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. 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.