1 to 25 of 202 Permanent Decision-Making Jobs in Central London

manage a team of data professionals in executing complex analytics, modeling, and data science projects. Design, develop, and maintain scalable data models that support business intelligence, forecasting, and decision-making processes. Oversee implementation and governance of data lineage and data dictionary frameworks to ensure transparency, compliance, and data quality. Collaborate with cross-functional teams and senior stakeholders on More ❯

governance and assurance for proposed solutions throughout the delivery lifecycle, ensuring compliance with industry standards and best practices. Data and Analytics Handling: Manage and analyse data to support decision-making processes. Implement data governance frameworks and ensure data integrity, security, and compliance. This should include relational, graph, key-value and streaming data design constraints. Infrastructure Expertise: Design, deploy More ❯

Commercial, and Audience teams on a daily basis. You will be responsible for: Developing, maintaining, and enhancing reporting frameworks and dashboards, taking ownership of delivering insights that shapes decision-making across the business. Oversee and prioritise incoming data requests, ensuring high-quality outputs Deliver complex analysis in an engaging, accessible manner to stakeholders with differing levels of data More ❯

public sector institution is seeking a proactive and detail-oriented PMO Analyst to support its central Programme Management Office. This role will be pivotal in strengthening data-driven decision-making, streamlining project reporting, and supporting the delivery of programmes and projects across the institution. You will act as the data and information hub for the PMO, supporting automation More ❯

such as BigQuery, Dataflow, Dataproc and Cloud Storage. Business Intelligence Enablement: Prepare and transform pipeline data to support downstream analytics and feed BI tools (DOMO), enabling data-driven decision-making across the organization. Cross-Functional Collaboration: Partner with internal stakeholders—ranging from Data, Commercial, and Editorial teams to executive leadership—to address data-related technical challenges and support More ❯

such as BigQuery, Dataflow, Dataproc and Cloud Storage. Business Intelligence Enablement: Prepare and transform pipeline data to support downstream analytics and feed BI tools (DOMO), enabling data-driven decision-making across the organization. Cross-Functional Collaboration: Partner with internal stakeholders—ranging from Data, Commercial, and Editorial teams to executive leadership—to address data-related technical challenges and support More ❯

scalable reporting solutions, and deliver actionable insights to senior stakeholders. Key Responsibilities: Lead the design, development, and deployment of advanced Power BI dashboards and reports to support business decision-making across departments. Manage and optimize large and complex data sets from multiple sources, ensuring data integrity and availability. Collaborate with cross-functional teams, including finance, IT, and operations More ❯

Healthcare and great holidays The Role As a Machine Learning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector. Using Azure's cloud ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client insight generation. More ❯

maintaining a focus on quality and stakeholder satisfaction. Engage with Senior Leadership: Collaborate with Senior leadership and C-Suite executives, providing strategic insights and implementation guidance to influence decision-making processes and garner support for transformation initiatives. Orchestrate Transformation Efforts: Coordinate various aspects of transformation programs, including technology implementation and change management, to ensure seamless integration and adoption More ❯

to risk management and mitigation within the program. Engage with Senior Leadership: Collaborate with Senior leadership and C-Suite executives, providing strategic insights and implementation guidance to influence decision-making processes and garner support for transformation initiatives. Orchestrate Transformation Efforts: Coordinate various aspects of transformation programs, including technology implementation and change management, to ensure seamless integration and adoption More ❯

a fast-growing area, you will get the opportunity to play a central role in developing new IP and shaping the frameworks and tools we use to help decision making across sporting performance, commercial and operations. We are looking for someone proactive, excited by the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead More ❯

complex data for non-technical leaders Self-starter comfortable working autonomously WHY APPLY? Full ownership of commercial analytics in a global business Exposure to exec-level strategy and decision-making Great perks: 1pm Friday finishes, private healthcare, study support Apply now to find out more. More ❯

models, SaaS optimisation, or CRM systems (e.g., Salesforce). Interest in finance, behavioural economics, or negotiation science. If you’re excited to leverage AI/ML for strategic decision-making and want to see your work shape the future of commercial performance, we’d love to hear from you. Apply now and help us turn data into competitive More ❯

analysis of A/B tests to assess product performance and enhance customer experiences Using SQL to extract, analyse, and visualise product data, delivering actionable insights that support decision-making Collaborating closely with Product, Engineering, and Marketing teams to define KPIs and success metrics Building and maintaining dashboards and reporting tools to provide real-time visibility into product More ❯

visualisations using tools like Power BI or Tableau Design and run efficient SQL queries to extract and manipulate data Develop and maintain BI tools and solutions to support decision-making Perform data validation and quality control to ensure integrity and accuracy Deliver ad hoc analysis and actionable insights to stakeholders 💼 Required Skills & Experience: 3+ years in a Data More ❯

tasks. Conduct regular review meetings to assess progress, address escalations, and ensure compliance with MD directives across business units. Provide regular feedback and insights to stakeholders to support decision-making and enhance collaborative efficiency. E. Innovation & Continuous Improvement Drive continuous improvement efforts by recommending and implementing enhancements to existing operational processes and project methodologies. Support enhancements initiatives, particularly More ❯

understanding of technology and cyber security frameworks. You will work closely with global stakeholders to ensure that risk data is accurately captured, analyzed, and reported to support informed decision-making and effective risk management. This role is based in London and follows a hybrid work model, requiring travel to the London office when needed. The Role: This role More ❯

multi‐year digital transformation. Implementing new EDI/API connections, enhancing the company’s Transport Management System (TMS), launching an AI‐enabled customer portal, and embedding data‐driven decision‐making across the organisation. Reporting to the CEO (and dotted line to COO/Head of IT) The Technology & AI Projects Manager will own and deliver these initiatives, acting More ❯

With a strong focus on Microsoft technologies and cloud-based tools, you’ll work directly with key business stakeholders, MI teams and technical teams to drive performance and decision-making through data. The ideal candidate here will have a strong background in insurance MI or reporting—experience within an MGA or insurance carrier is essential. Key Responsibilities Deliver More ❯

the ground up. This is a pivotal role to design and implement the data strategy, business intelligence initiatives, and data governance frameworks, fostering a culture of data-driven decision-making across the organization. Key Responsibilities Build and lead a new data & analytics team. Develop and execute a company-wide data and analytics strategy aligned to business objectives. Own More ❯

checks to ensure data accuracy and consistency. Utilise data analysis to identify potential issues or discrepancies in system outputs and propose corrective actions. Provide strategic insights to enhance decision-making and operational efficiency. Identify and feedback to relevant teams where there are data inconsistencies or issues that need attention. Oversee CRA reporting creation, adjustments, and issue resolution to More ❯

with suppliers and internal stakeholders. Mentor and develop junior procurement staff. Procurement Excellence & Data Analytics (20%): Develop and maintain dashboards and visual management tools using Power BI. Support decision-making with data-driven insights. Lead Digitisation initiatives to enhance procurement operations. What We’re Looking For: Knowledge & Skills: Proficiency in IT systems and procurement ERP systems (SAP/ More ❯

analyse large datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this Data Scientist - Category Management: Partner with the Data Team to measure and report on availability levels More ❯

cloud platforms - Azure, AWS, GCP and their Data services Key Responsibilities Define and implement data architecture strategies in line with the Customer Journey programme Guide the data-driven decision-making process, ensuring that data is effectively utilised to inform business strategies and initiatives. Develop data plan to address data quality issues in line with To-Be Processes Drive More ❯

generation across its web and mobile platforms. Serving millions of customers, the business is undergoing a digital transformation and needs a data-savvy individual to help shape smarter decision-making across teams. Role & Responsibilities: Develop and own the digital analytics roadmap for both web and app environments Define key performance indicators (KPIs) and create dashboards to monitor user More ❯