National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Power BI Developer, BI Developer (Business Intelligence Developer), Data Visualisation Specialist, Power Platform Developer, BI Analyst, Data Analyst (Power BI focused), Reporting Analyst, Dashboard Developer

Page Personnel
London
2 days ago
Create job alert
Helping to drive meaningful investment decisions that support global development Opportunities to influence data strategy and standards across the business.

About Our Client

Lead Power BI Developer - LondonOur client is a purpose-led financial institution focused on global development and long-term impact investing. They operate in a highly collaborative and regulated environment, supporting sustainable growth across emerging markets.

Job Description

Lead Power BI Developer - LondonThis is a great opportunity to work in a purpose led financial organisation with a global development focus, where your skills in data visualisation and storytelling will help drive insight and decision making at all levels.Key Responsibilities

Design and develop reports, dashboards, and KPI scorecards using Power BI Desktop Develop across the Power Platform suite Connect to and transform data from various sources (SQL, SharePoint, Excel, etc.) Integrate Power BI reports with other applications using embedded analytics Apply advanced DAX calculations and implement row-level security Work with users to co-develop dashboards and provide training Define and improve Power BI development standards and documentation Support user adoption and continuous improvement of Power BI tools Ensure clear, secure design aligned with best practice and business needs

The Successful Applicant

Lead Power BI Developer - LondonYou'll bring experience delivering Power BI solutions in a financial services environment, ideally within Private Equity, Private Debt, or Development Finance. You're not just technically strong you can translate data into stories and bring non-technical stakeholders with you.Essential Skills

Strong Power BI experience including DAX, SQL, and data modelling Experience implementing row-level security Confident working with data sources including SQL, SharePoint, Excel, DevOps Solid understanding of data warehousing and data transformation Excellent communication and stakeholder engagement skills Ability to work with both BAU and project teams Clear documentation and delivery processes Strong problem-solving skills and a proactive mindset

Desirable Skills

Experience in Private Equity or Development Finance Familiarity with eFront or other portfolio management systems Knowledge of MS Azure Data Factory (Pipelines) Exposure to Power Apps

What's on Offer

Lead Power BI Developer - LondonFor the successful candidate, the role offers:

Competitive salary and benefitsfrom £80k - £100k + Benefits & Hybrid working policy.The chance to shape and influence data reportingin a purpose driven financial organisation, using modern tools like Power BI, Azure Data Factory, and eFront.A collaborative working environmentwhere your work directly supports high-impact investment decisions across global markets.Opportunities for professional growththrough cross-functional projects, stakeholder engagement, and exposure to both business-as-usual and strategic change initiatives.

If you are ready to take your next step and contribute to meaningful global change through data, we look forward to welcoming you to the team.Applications for the role closes on the 4th of July and applications will be reviewed post this date.

Related Jobs

View all jobs

NHS SQL Data Engineer - Contract

Data Analyst

Data Engineer (Enterprise DataWarehouse Developer)

Senior AI & Data Developer

Senior Developer (Data & AI)

Data Analyst – PowerBI Developer and MS Fabric Specialist

National AI Awards 2025

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.