Data Analyst
Hybrid
London, United Kingdom
£ 50,000 / year
Full Time
23-04-2025
Job Specifications
**PLEASE READ JOB DESCRIPTION**
Location: London (Hybrid Working)
Department: IT – Data Team
Employment Type: Full-time / Permanent
Salary : Circa 50k + Bonus
About the Role
We are hiring a Data Team Analyst to join a clients growing Data Team within the IT department. This role is a great opportunity for someone with a passion for data governance, quality, and cross-functional collaboration, particularly within the financial services sector.
As a key member of the team, you'll help implement and evolve the organisation’s Data Strategy, focusing on introducing robust data governance frameworks and supporting the business in better understanding and managing its data assets.
Key Responsibilities
Assist in the development and refinement of Data Governance policies and procedures.
Maintain and enhance the Data Catalogue, including Business Glossary, Data Lineage, and associated governance components.
Collaborate with business stakeholders to promote data best practices and ensure clarity on roles and responsibilities.
Support and coordinate Data Governance meetings, capturing key decisions and follow-up actions.
Work closely with cross-functional teams on data-related projects and continuous improvement initiatives.
Identify and investigate data quality issues, contributing to the development of root cause analyses and solutions.
Stay up-to-date with evolving data technologies, tools, and industry trends.
Support the definition of data quality methodologies and standards across the business.
Fulfil other duties as assigned by the Head of IT or General Manager.
About You
We’re looking for a data-driven problem-solver with excellent stakeholder management skills. You’ll ideally bring:
A Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Information Systems, Mathematics, Finance, Engineering, or Business).
Prior experience as a Business Analyst or Data Analyst within a financial institution.
A strong grasp of financial services processes and how data underpins decision-making.
Exceptional communication and collaboration skills.
Analytical thinking, curiosity, and attention to detail.
Experience with data cataloguing tools and lineage mapping (preferred).
Proficiency in SQL, data modelling, and database design (preferred).
About the Company
dnevo Partners is a London-based, Financial and Professional Services Recruitment and Search Agency. Organised into 3 divisions, dnevo Financial Services, dnevo Digital & Tech and dnevo Professional we use our trinity of business lines to create a specialist recruitment experience, not hampered by an obsession of inward looking Talent solutions, but creative ways of using all 3 divisions to deliver the best solution to clients and candidates. We aim to offer a service like no other. An organisation you have confidence in ... Know more
Related Jobs
- Company Name
- In Technology Group
- Job Title
- AI Engineer
- Job Description
- Job Title: AI Engineer Location: Leeds (Hybrid 2 days on-site) Salary: £55,000 – 65,000 D.O.E About Us: Join a leading Business Intelligence (BI) consultancy that has just secured Series C funding. Our mission is to revolutionise the way businesses leverage data to drive strategic decisions. We are a dynamic team of professionals dedicated to innovation, excellence, and delivering top-notch solutions to our clients. Role Overview: We are seeking a talented and passionate AI Engineer to join our growing team. In this role, you will be at the forefront of developing cutting-edge AI solutions that enhance our BI capabilities. You will work closely with data scientists, analysts, and other engineers to create intelligent systems that transform data into actionable insights. Key Responsibilities: Design, develop, and implement AI models and algorithms to solve complex business problems. Collaborate with cross-functional teams to integrate AI solutions into our BI platform. Conduct research and stay up-to-date with the latest AI trends and technologies. Optimise and fine-tune AI models for performance and scalability. Participate in code reviews and contribute to best practices in AI development. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in AI/ML development, with a strong portfolio of projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and teamwork abilities. What We Offer: Competitive salary and benefits package. Opportunity to work with a talented and passionate team. Access to the latest tools and technologies in AI and BI. Flexible working hours and remote work options. Career growth and development opportunities.
Leeds, United Kingdom
Hybrid
Full Time
02-05-2025
- Company Name
- JPMorganChase
- Job Title
- Applied AI ML Associate - Machine Learning Scientist – Machine Learning for Technology
- Job Description
- Job Description Join the elite Applied Innovation of AI (AI2) team at JP Morgan Chase, strategically located within the CTO office. As a Machine Learning Specialist within the JPMC businesses, you will be responsible for addressing business-critical priorities using innovative machine learning techniques. You will work closely with stakeholders to execute projects that support the growth of the business and explore novel challenges that could revolutionize the way the bank operates. Your role will involve applying advanced machine learning methods to a range of complex tasks, such as data mining, text understanding, anomaly detection, and generative AI. You will collaborate with business, technologists, and control partners to deploy solutions into production. Additionally, your responsibilities will include researching new methods, developing models, and contributing to reusable code and components. Job Responsibilities Research and explore new machine learning methods through independent study, attending conferences, and experimentation. Develop state-of-the-art machine learning models to solve real-world problems in Cybersecurity, Software, and Technology Infrastructure. Collaborate with partner teams to deploy solutions into production. Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models. Contribute to reusable code and components shared internally and externally. Required Qualifications, Capabilities, And Skills PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) or an MS with industry or research experience. Hands-on experience and solid understanding of machine learning and deep learning methods. Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Scientific thinking and the ability to invent. Ability to design experiments and training frameworks, and evaluate metrics for model performance aligned with business goals. Experience with big data and scalable model training. Solid written and spoken communication to effectively communicate technical concepts and results. Curious, hardworking, detail-oriented, and motivated by complex analytical problems. Ability to work both independently and in collaborative team environments. Preferred Qualifications, Capabilities, And Skills Experience with A/B experimentation and data/metric-driven product development. Experience with cloud-native deployment in a large-scale distributed environment. Knowledge of large language models (LLMs) and accompanying toolsets (e.g., Langchain, Vector databases, open-source Hugging Face Models). Knowledge in Reinforcement Learning or Meta Learning. Published research in areas of Machine Learning, Deep Learning, or Reinforcement Learning at a major conference or journal. Ability to develop and debug production-quality code. Familiarity with continuous integration models and unit test development. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
London, United Kingdom
On site
Full Time
03-05-2025
- Company Name
- twentyAI
- Job Title
- Analytics Manager
- Job Description
- Company: A leading global law firm, operating with a strong international presence across more than 20 countries. It is recognized for its expertise in complex corporate transactions, high-value finance work, and cross-border legal matters. The firm serves a diverse clientele that includes multinational corporations, financial institutions, and government entities. The organisation is going through a major transformation programme of work to increase the commercialisation of the business through advancing their technology and data decision making processes. Role: This is a newly created senior position to drive value within the Marketing function with a focus specifically on the analytics side—interpreting data to generate actionable insights, rather than managing the underlying data infrastructure. While this role will not be responsible for setting the analytics strategy, they will serve as the second-in-command for all things related to analytics and performance optimisation—helping to embed a data-informed mindset and delivering insights that drive smarter decision-making. With the rollout of a new CRM on the horizon, the team will gain access to a host of new features, which will unlock new opportunities to generate insights from analytics. Key areas of focus will include improving pitch processes, analysing win rates, and optimising how data and content are used to make pitches more targeted, efficient, and successful. This role will also help to use client and sector strategies as anchors to guide analytical efforts, ensuring that insights are aligned with broader commercial goals. A global outlook is essential for success in this role. The individual must be able to understand the nuances of different regions and markets, and how analytical approaches may need to be adapted accordingly. Given the complexity and unique nature of the legal industry, it’s important that the successful candidate has direct experience working within a law/legal —or at minimum, within a professional services or partnership-based business model. They will need to be skilled at storytelling with data, helping stakeholders across the firm to not only understand the numbers, but to grasp their significance in the business context. Over time, the analytics team may grow to include 8–12 people, expanding its capability and reach. As such, this role will play a central role in shaping the future of analytics within the function and evolving the function’s approach towards a “one firm” mindset—bringing greater cohesion and consistency to how data is interpreted and applied across the business. Key responsibilities: Deliver high-level analytics insights and strategic guidance to the Data and Analytics Lead, ensuring optimisation initiatives support the Marketing and wider firm objectives Project lead a team of data analysts within the shared service centre, cultivating a high-performance culture focused on innovation and ongoing development. Design and manage performance tracking systems to evaluate the impact of marketing and business development initiatives, highlighting opportunities for optimisation. Collaborate closely with key stakeholders to apply data-driven strategies aimed at enhancing marketing performance, refining client development approaches, and driving improved business results. Partner with fee-earners and Business Teams to gather input on their needs and goals, ensuring that data optimisation efforts remain aligned with firm priorities. Manage the development of insightful reports and interactive dashboards that empower stakeholders with data-driven decision-making and clear performance visibility. Apply cutting-edge analytics tools and emerging technologies to drive optimisation efforts, continuously monitoring industry trends to improve effectiveness and efficiency.
London, United Kingdom
On site
Full Time
02-05-2025
- Company Name
- LiveRamp
- Job Title
- Data Analyst
- Job Description
- LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners. Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements. You will join the international Data Science team based in London & Paris and will work with some of the world’s biggest data sets based in different geographies (Europe included UK, Latam, MENA). You will integrate with an existing team of 12 people (Data Scientist, Analyst, Engineer) and contribute actively to the LiveRamp international growth strategy. The job is based in our London office. Role Overview Being a part of the UK Data Science Team, you will work to deliver our data science solutions to a wide range of external clients; from well-known retailers to some of the largest digital platforms in the world. Responsibilities Delivering our offline sales measurement product for some of the world’s largest social platforms and retailers. Work with our social platforms with recommendations to improve future campaigns. Make suggestions to improve current workflows and products. Analyze retailers data to deliver shopper insights to our customers (world’s largest CPGs & Agencies). About You Previous commercial or research experience as a data analyst Hands-on experience in Python and SQL Thorough understanding of Statistics Client facing or stakeholder management experience delivering and presenting analytical results The ability to communicate complex analytical information clearly to non-analytical audiences Bachelor’s Degree in a numerate discipline (e.g. Maths, Science, Computing) Interest in digital marketing 0-2 years professional experience Bonus Points Experience with Cloud Computer technologies Experience of advertising effectiveness measurement Knowledge of digital marketing French, Spanish or Portuguese is a plus. Benefits 25 days holiday Private medical Life insurance Matched pension to 10% Stock. Every employee is a stakeholder in our future Bike to work scheme Strong social committee – events, happy hours, free lunches, etc. Location. Work in the heart of central London (WC2B) – one of the best cities in the world More About Us LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp. To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.
London, United Kingdom
On site
Full Time
02-05-2025