Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Graduate Business Intelligence Analyst (Power BI)

Taylor James Resourcing
London
2 months ago
Applications closed

Related Jobs

View all jobs

Graduate Data Analyst

Data Analyst

Data Analyst, ECommerce

Data Analyst, ECommerce

Business Intelligence and Insights Manager

Business Intelligence and Insights Manager

Quick Registration First Name * Last Name * e-mail * Phone * Sector Location

Our client is a Global Financial Broking firm in London.

Client Onboarding KYC Associate. 5 days a week in

Administration Assistant – Financial Services

Our client is a Financial Market making company in

Our client is a Wealth and Asset Management firm in

Graduate Business Intelligence Analyst (Power BI)

Date: 7 Feb 2025
Sector: FINANCIAL MARKETS
Type: Permanent
Location: London
Salary: £30000 - 35000 per annum
Email:
Ref: db070225

We are looking for a Power BI Business Intelligence or Data Analyst with a Degree in a numerate or analytical discipline with at least 6 months experience from a placement year or after graduating.

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

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 very closely with back office functions in order to fulfil this role. As such a high level of interpersonal skills combined with a sound analytical approach to decision making will be advantageous.

The successful candidate will be: -

Responsible for developing and delivering BI driven reporting which accommodate the different levels within the organization at a reporting frequency that support timely decision making
Provide thoughtful analytical based insights to help Europe Commercial arrive at more informed business decisions
Utilise available data warehouses and data mining tools to spot trends and highlight potential opportunities
Support the development and implementation of new BI tools as we build capability to understand our data
Support in the delivery of the annual budget. This will include:
Preparation of budget templates
Co-ordinating across functions to ensure on time delivery
Provision of reports
Support the delivery of tailored data analysis to key individuals and teams within the organization and the development of reports to colleagues and senior management summarising performance measurement versus key metrics
A resource that can be called upon when needed to provide analytical capability cross functionally
Financial modelling and review of business opportunities

Core / Skill requirements:
• Developed and proven analytical skills
• Understanding of economics supporting UK business
• Financially numerate and advanced Excel skills
• Proficient in Power BI
• Knowledge of SAP / BW for data extraction and analysis
• Good interpersonal skills
• Flexible, as brief may evolve / change
• Budget aware
• Work efficiently
• Work 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.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly become one of the most influential disciplines of the digital age. Once a niche combination of statistics and computing, it is now central to how organisations innovate, compete, and grow. From healthcare and finance to retail, logistics, and government, data science is reshaping decision-making across every sector. In the UK, data science has grown into a core career pathway. Salaries are competitive, demand continues to rise, and roles now extend far beyond analytics into artificial intelligence, machine learning, and predictive modelling. Yet as technologies evolve, many of the most important data science careers of the future don’t exist today. This article explores why entirely new roles will emerge, the kinds of careers that may appear, how existing jobs will evolve, why the UK is well placed to lead, and what professionals can do to prepare for this transformation.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.