Financial Data Analyst

Taylor James Resourcing
London
9 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Analyst

Data Analyst | FTC

Data Analyst (PowerBI)

Data Analyst

Junior Data Analyst - Power BI / SQL

ECB Data Analyst

We are looking for a Financial Data Analyst with Power BI experience. A Degree in a numerate or analytical discipline with at least 12 months of post-graduate work experience is required.

This role is part of a team of four in our client's Business Intelligence team located in Canary Wharf, London. This is an office-based position.

Responsibilities:

The role will involve working within the Strategy & Business Intelligence Department to provide analytical support and liaise with other departments internally to successfully distribute/extract pertinent information.

The successful candidate will work closely with back office functions in order to fulfil this role. A high level of interpersonal skills combined with a sound analytical approach to decision making will be advantageous.

Key Responsibilities:

  1. Develop and deliver BI-driven reporting that accommodates different levels within the organization at a reporting frequency that supports timely decision making.
  2. Provide thoughtful analytical insights to help the Europe Commercial team arrive at more informed business decisions.
  3. Utilize available data warehouses and data mining tools to spot trends and highlight potential opportunities.
  4. Support the development and implementation of new BI tools as we build capability to understand our data.
  5. Assist in the delivery of the annual budget, including preparation of budget templates, coordinating across functions for on-time delivery, and provision of reports.
  6. Deliver tailored data analysis to key individuals and teams within the organization and develop reports summarizing performance measurement versus key metrics.
  7. Act as a resource to provide analytical capability cross-functionally.
  8. Conduct financial modeling and review of business opportunities.

Core / Skill Requirements:

  1. Developed and proven analytical skills.
  2. Understanding of economics supporting UK business.
  3. Financially numerate with advanced Excel skills.
  4. Proficient in Power BI.
  5. Knowledge of SAP/BW for data extraction and analysis.
  6. Good interpersonal skills.
  7. Flexible, as brief may evolve/change.
  8. Budget aware.
  9. Ability to work efficiently and collaboratively with others.


#J-18808-Ljbffr

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.