1 to 25 of 300 Permanent Decision-Making Jobs in London

Primary Details Time Type: Full time Worker Type: Employee The purpose of this role is to enhance risk assessment and decision-making processes through the provision of advanced risk modelling analytics. This is achieved through engaging with business stakeholders to define requirements and combining this Accumulation Management expertise

Bank, such as sustainable operations, workplace behaviours, SSA expansion and more. Accountabilities & Responsibilities The role provides timely management information to support decision-making and updates to relevant governance forums, for example the monthly CTO Ops meeting and quarterly CTO leadership meetings. Undertake detailed analysis of performance and risk

APIs into reports. 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

deliver real impact for communities. What you'll do You'll be responsible for designing, developing, and maintaining BI solutions that enable effective decision-making and insight across NHG. Working independently and collaboratively, you'll lead the creation of data visualisations and analytical models using Power

generate actionable insights for AI-enabled digital services. Use tools such as Power BI, Python, or R to visualise data and support decision-making across product lifecycles User Research: Conduct qualitative and quantitative research to understand user needs, behaviours and pain points in relation to AI-driven products.

mission-driven organisation? At MSI Reproductive Choices UK , were looking for a Lead Analytics Engineer to shape the future of data-driven decision-making in one of the worlds leading providers of sexual and reproductive healthcare. Hours: Full time, 35 hours per week Contract: Permanent Salary: £58,969.32

KPIs using tools like Power BI, Google Analytics, Looker Studio, etc. Work alongside designers, developers, and user researchers to embed data-driven decision-making Lead GDS performance framework assessments Mentor junior analysts and contribute to internal communities of practice Key Skills & Experience: Strong background in performance analysis

analysts on UX best practices. What you'll do You'll be responsible for designing, developing, and maintaining BI solutions that enable effective decision-making and insight across NHG. Working independently and collaboratively, you'll lead the creation of data visualisations and analytical models using Power

mark and grow your career. The Role: As a Trading Executive at DAZN, you will play a key role in driving data-informed decision-making across our Growth Markets commercial and marketing teams. You will analyse campaign performance, customer behaviour, and market trends to uncover insights that optimise

Dashboards;To extract Data, consolidate and analyse it; Create automation solutions including AI solutions; Quantitative analytics (e.g. offer calculations for claims); Analysis for Decision making; Modelling of quantum exposure; Record Data breach analytics The Data Analytics Manager will focus on building internal client relationships and on the delivery

data from Salesforce, SAP Business ByDesign, Qlik Sense, and other internal systems. The role provides accurate, timely insights that support operational and commercial decision-making across EMEA. This mid-level role is ideal for candidates with 35 years experience in data analysis or business intelligence. MUST BE ABLE

client is a prestigious financial institution located in the heart of London. They specialize in providing innovative financial solutions and analytics to support decision-making processes across various business units. With a commitment to data-driven strategies, they are seeking an Entry-Level Data Analyst to join their

drive User Acceptance Testing (UAT), ensuring full traceability back to requirements Use data analysis and insight to solve complex problems and support decision-making Champion value creation – ensuring every project aligns with strategic goals and delivers tangible benefits Foster strong collaboration across internal teams, third-party vendors

purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries.

purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries.

data quality, structure and consistency across CRM systems and marketing platforms Work closely with CRM, marketing and creative teams to embed data driven decision making Coach junior analysts and contribute to best practice in CRM analytics You 5+ years experience in CRM analytics or marketing data analysis, ideally

These systems leverage emerging technologies like the Industrial Internet of Things (IIoT), AI/ML, and cloud computing to improve efficiency, productivity, and decision-making for manufacturing operations. This role translates business requirements into technical blueprints, manages technology integration, and provides technical leadership throughout a project's lifecycle.

pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML.

combines content, advertising, and subscription revenue models and is undergoing rapid growth in its analytics capability. With a strong emphasis on data-driven decision-making, the company is investing heavily in measurement frameworks that enable smarter spending, sharper marketing effectiveness, and sustainable subscriber growth. THE TEAM

pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML.

with the CFO in this newly created role. Job description Responsible for designing, developing and maintaining data models, dashboards and reports that drive decision making across the organisations. The role holder will work closely with stakeholders to gather reporting requirements and translate them into effective data visualisations that

opportunity for a data analyst to join a growing insurance company in the heart of the City You will be supporting data-driven decision-making across the organisation by analysing complex datasets, identifying trends, providing accurate information, and maximising efficiencies in existing sets of reports Collecting, cleaning

customer experiences and drive commercial performance. The company operates large-scale digital customer journeys with significant traffic volumes, making data central to decision-making across product, marketing, operations, and service design. THE TEAM You'll join the Data & Analytics function, which is structured into several specialist groups

intersection of finance, data, and commercial strategy. You'll be working directly with the Finance Director and senior leadership to drive smarter decision-making across the business through automation, insight, and proper financial reporting infrastructure. What You'll Be Doing You'll own the financial data agenda. That

work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role, suited to someone who's confident communicating with data, product, and engineering teams