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
Manchester
1 day 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 teams of the legal department including Business Acceptance, Financial Crime & Sanctions, Commercial, Data Privacy, and Practice Protection.


Key responsibilities and deliverables

  • 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 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;
  • 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
Essential

  • 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;
  • Demonstrates a high level of discretion, integrity and professionalism.

Desirable

  • 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. 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 (e.g., 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.


Required Experience:


Senior IC


Key Skills

Databases, Data Analytics, Microsoft Access, SQL, Power BI, R, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics


Employment Type: Full‑Time


Experience: years


Vacancy: 1


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst - Chelmsford

Senior Data Analyst - Saint Eval

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

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.