Senior Data Analyst - 12 month FTC

Freshfields
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

HR Senior Data Analyst

Senior Power BI Data Analyst

Senior Data Engineer

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

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.

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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.