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

Apply Now

Junior Data Analyst

Seven Investment Management LLP
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Reporting to the Head of Data Insight & Analytics, this role will support with the development and progression of 7IM’s business intelligence and insight capability. Sitting within the Data & Analytics team, this role will directly support 7IM’s Transformation function through building dashboards, insight tools and supporting key stakeholders, including the Chief Transformation Officer and the Transformation Leadership Group, with data-driven decision making. The role would suit an ambitious and driven junior individual who is looking for an opportunity to advance their understanding of data, working closely with business leaders to generate meaningful insight.

Responsibilities

  • Over time, act as the subject matter expert (SME) for data analytics to 7IM’s Transformation function.
  • Work closely with senior leadership, key stakeholders & data to draw together requirements, collaborate on data requests and gather feedback for improvement to support business goals.
  • Draft, build, maintain and drive adoption of Power BI dashboards and other similar data products using APIs linked to key Transformation systems.
  • Collaborating with existing business SMEs, analyse and interpret data to support senior leadership with understanding trends, defining strategy and making business decisions.
  • Own the rollout, training and continuous improvement of new and existing dashboards or data products – delivering training sessions when required.
  • Track and enforce robust data quality standards, collaborating with the Data Governance and Infrastructure teams where necessary.
  • Regularly communicate key updates on progress and future plans to stakeholders, joining relevant team meetings or producing ad-hoc email communications to support this.
  • Work collaboratively and effectively within in a small team to create, inform, and champion data and analytics best practices.

While not directly interacting with customers, your actions should align with upholding the FCA's Consumer Duty principles, thereby contributing to fair and beneficial outcomes for our clients

About You

Knowledge

  • A basic understanding of the structure and purpose of the Financial Advice and Wealth Management markets within the UK Financial Services sector.
  • A basic understanding of the positioning of financial advice products and the use of platforms within client propositions with some understanding of the key features and competitors in this market.
  • Knowledge of the Agile methodology would be beneficial.

Qualifications

  • No specific qualifications are required for this role; however, the successful candidate will be expected to complete the Microsoft Certified: Power BI Data Analyst Associate certification within their probation period (6 months).

Skills/Other relevant information

  • Excellent numerical skills are essential, enabling easy interpretation and analysis of large volumes of data.
  • Experience with Python is highly beneficial and you will be expected to be able to use Python to draw data from APIs into reports.
  • Experience with Power BI will be key to this role in the long term, although learning and development will be provided to support this.
  • Ability to analyse data – with an eye for attention to detail - and communicate your understanding to stakeholders to support with decision making processes.
  • Ability to write concisely, cherry-picking key insights to deliver valuable intelligence.
  • Confidence to work independently and efficiently on projects with business stakeholders.
  • Strong written and verbal communications skills.
  • Confident in the use of Excel for basic data manipulation and transformation.


#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.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.