Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Power BI Developer / Data Analyst

Army Marketing
City of London
3 days ago
Create job alert
Overview

Data Analyst / BI Developer - Financial Services (Power BI, PySpark, Databricks)

Location: London (Hybrid, 2 days per week onsite)

Salary: £65,000 to £75,000 + bonus + benefits

Sector: Private Wealth / Financial Services

About The Role

A leading Financial Services organisation is looking for a Data Analyst / BI Developer to join its Data Insight and Analytics function.

You will play a key role in developing the business's analytics capability, building dashboards, insight tools, and data models that directly support senior leaders within its Private Wealth division.

This role suits someone who wants to go beyond dashboard building and become a trusted analytics partner, shaping how data drives strategic decision making across the organisation.

Key Responsibilities
  • Act as the subject matter expert for data analytics and visualisation within the Private Wealth division.
  • Partner with senior leadership and key stakeholders to translate requirements into high-impact analytical products.
  • Design, build, and maintain Power BI dashboards that inform strategic business decisions.
  • Use PySpark, Databricks or Microsoft Fabric, and relational/dimensional modelling (Kimball methodology) to structure and transform data.
  • Promote best practices in Git, CI/CD pipelines (Azure DevOps), and data governance.
  • Lead the rollout, adoption, and training of dashboards and data tools to maximise business impact.
  • Communicate insights clearly to non-technical stakeholders and influence decisions across commercial, product, and operations teams.
What We're Looking For
  • 3 to 5 years of experience in data analysis, BI development, or data engineering.
  • Strong knowledge of relational and dimensional modelling (Kimball or similar).
  • Proven experience with:
  • Power BI (advanced DAX, data modelling, RLS, deployment pipelines)
  • PySpark and Databricks or Microsoft Fabric
  • Git and CI/CD pipelines (Azure DevOps preferred)
  • SQL for querying and data transformation
  • Experience with Python for data extraction and API integration.
  • Excellent numerical and analytical skills with strong attention to detail.
  • Confident communicator with experience presenting to senior, non-technical stakeholders.
  • Previous exposure to Financial Services or Wealth/Investment Management data is highly desirable.
  • Familiarity with Agile delivery environments.
Why This Role

You will join a forward-thinking data team that is building a modern analytics ecosystem within Financial Services.

This is a highly visible position where you will work closely with business leaders and own the full delivery process from data modelling to executive-ready insight.

You will also be supported to complete the Microsoft Certified: Power BI Data Analyst Associate qualification within your first six months.

Apply

Interested? Apply today or get in touch for a confidential discussion. This is an excellent opportunity for a technically strong and commercially curious data professional who wants to make a real impact in a growing analytics function.

RSG Plc is acting as an Employment Agency in relation to this vacancy.


#J-18808-Ljbffr

Related Jobs

View all jobs

BI & Data Analyst - Power BI

Technology SQL Data Analyst & Reporting Developer- London, England. (Full-Time).

Senior Data Engineer - Azure, BI & Data Strategy

Senior Data Engineer - Azure, BI & Data Strategy

Business Data Analyst, Reporting

Business Data Analyst, Reporting

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.