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

Apply Now

Senior Data Analyst - 12 month FTC

Freshfields Bruckhaus Deringer
Manchester
1 week ago
Create job alert

Overview of the Function

The Legal Department supports the firm in pursuing the effective management of regulatory, legal, operational and information security risk to preserve and maximise the value of the firm over the long term.

The Data Analyst team works across the Legal Department to help the different teams of the Legal Department to work cohesively and effectively by providing data-driven and actionable insights.

Role summary/purpose of job

Through the collation, analysis, and presentation of data, Data Analysts provide data-driven insights into the performance of the Legal Department to facilitate informed decision making and reporting. Data Analysts support colleagues across the Legal Department by providing timely and accurate data whilst ensuring the firm’s compliance with regulatory requirements. Data Analysts work with colleagues across all the teams of the legal department including Business Acceptance, Financial Crime & Sanctions, Commercial, Data Privacy, and Practice Protection.

The Senior Data Analyst (SDA):

Acts as a data exploitation and data management specialist; and

Acts as a project and task management lead for the Data Analysis function within the Legal Department.

Key responsibilities and deliverables

The core role of the SDA is to:

Lead in the delivery of Data Analysis projects to all teams in the Legal Department, as well as on specific projects to the wider firm using Legal Department data;

Mentor and support the development of other Data Analyst(s) of the Legal Department through training and knowledge transfer;

Provide regular client and matter data reports to Legal Department, the partnership as well as the Firm’s Global Leadership Team;

Leverage data to design and create new reports and dashboards for the Legal Department and wider firm;

Monitor data management mailboxes, responding to Firm-wide queries, and escalating issues to senior colleagues as required;

Provide team performance data to Legal Department management;

Answer queries in relation to maintenance of information barriers and supervise Legal Department paralegals in management of information barrier mailbox;

Support safe access to the Firm’s most sensitive client data;

Maintain the Firm’s Stop List of security dealing records;

Support Legal Department colleagues in responding to regulatory queries or audits (internal or external);

Act as a key liaison with stakeholders outside of the Legal Department supporting cross-functional reporting and data governance within the wider firm;

Demonstrate initiative in process improvement in the wider Legal Department and foster a continuous improvement mindset; and

Contribute to an inclusive working environment where all colleagues are treated with fairness and respect, applying the ‘Being Freshfields’ principles at all times.

Key requirements

Data manipulation, data management and data visualisation skills, with a good understanding of Microsoft Excel, PowerBI, SQL and other common software tools including Microsoft products;

Ability to prioritise and multitask; working in an organised manner; recognising need for clear, concise and accurate communication; keeps detailed & timely notes of client interactions; prepares thoroughly before meetings and calls;

Appreciation of the technical knowledge of different target audiences and the ability to visualise and present data accordingly;

Ability to train and support other team members in the form of peer support;

Ability to understand (i) the types of work that Freshfields does at a high level, and (ii) the policies and processes of the Legal Department;

Ability to interpret requests from non-technical colleagues and provide solutions to address their needs;

Ability to work to tight deadlines and show resilience under pressure – used to working to a very high standard of accuracy and efficiency; and

Demonstrates a high level of discretion, integrity and professionalism.

Technical acumen – understands the use of technology in the delivery of an excellent service for colleagues from multiple internal teams;

Experience of developing a strategy around data use in a team or department;

Experience of working in an international professional services environment (preferably legal) with a geographically dispersed team

Inclusion

Freshfields is an equal opportunities employer and all applications received by the firm will be considered by the firm on the basis of their merit alone and we welcome applications from all suitably qualified individuals regardless of background. All offers of employment will be conditional on the candidate having/securing the right to work in the UK and providing the firm with evidence of that right (as required by the Immigration, Asylum and Nationality Act 2006) prior to employment commencing.

Freshfields is a Ban the Box employer. We ask applicants to disclose criminal convictions only when a conditional job offer is made. A conviction does not automatically lead to withdrawal of the offer: we make decisions on a case by case basis and take a number of factors into account (eg the role you are applying for and the circumstances of the offence). You would have the opportunity to discuss the matter with us before we make a decision.

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

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 Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

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.