451 to 475 of 2,782 Analytics Jobs in London

Solid experience designing, developing and deploying pipelines, data-lakes, data meshes and other data products Solid experience on understanding, questioning, prioritizing and translating business problems into data solutions (BI, Analytics, deterministic and statistical models, machine learning) Solid experience with Cloud (Azure or AWS) Experience on identifying, gathering and prioritizing Non Functional Requirements, Technical pain points and environment/client constraints More ❯

making across the business Stay informed on the latest media, technology, industry, and competitor trends, and translate these into new acquisition opportunities Continuously assess media performance in partnership with analytics teams and agencies to optimise the media mix and tactics Own cross-functional status updates, project roadmaps, and innovation roadmaps Required Skills & Experience Minimum 5 years' experience in media planning More ❯

Solid experience designing, developing and deploying pipelines, data-lakes, data meshes and other data products Solid experience on understanding, questioning, prioritizing and translating business problems into data solutions (BI, Analytics, deterministic and statistical models, machine learning) Solid experience with Cloud (Azure or AWS) Experience on identifying, gathering and prioritizing Non Functional Requirements, Technical pain points and environment/client constraints More ❯

Technology organization, you'll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will present More ❯

efficiency, utilizing the latest in machine learning, natural language processing, and predictive analytics. 3. Technology Integration: Seamlessly integrate AI solutions with existing enterprise systems and platforms, ensuring robust data analytics capabilities and operational effectiveness. 4. Client Collaboration: Establish strong, consultative relationships with clients, understanding their unique challenges and opportunities to deliver tailored AI solutions. 5. Leadership & Talent Development: Mentor and More ❯

drives innovation by delivering a diverse suite of data products that empower data-driven decision-making and enhance operational efficiency. With a strong focus on engineering, data science, and analytics, the team delivers innovative solutions that empower business users, primarily trading teams, to tackle complex challenges and unlock new opportunities. At Macquarie, our advantage is bringing together diverse people and More ❯

for implementation process improvement Work with asset management firms of all sizes and styles, across various asset classes, expanding on your strong pre-existing financial product and operational/analytics knowledge Required qualifications, capabilities, and skills You demonstrate experience in the finance or asset management industry You have experience in building or supporting financial systems, such as trading, portfolio management More ❯

users, sales, marketing, and go-to-market strategies. We seek an analytical, proactive self-starter who is both tactical and strategic. Responsibilities: Product Qualified Leads (PQLs) and Sales Pipeline Analytics (40%) Lead routing and automation (30%) SMB revenue closing (20%) Cross-functional insights sharing (10%) Success metrics: Conversion of PQL to Sales Qualified Lead (SQL) and growth in monthly SMB More ❯

corrective and preventative actions to ensure permanent closure of incidents Actively participate in the development life cycle, ensuring reliability and scalability and operational stability Define, create and track application analytics in support of better service level objectives Ensure adherence to change management release processes, accelerate automation of these processes Run resiliency management planning, scheduling and execution of disaster recovery tests More ❯

organisation, such as infrastructure, service management, and architecture. Alignment to global data governance frameworks to ensure data quality, security, and privacy, encouraging data-driven decision-making by leveraging data analytics and AI to extract insights and inform business strategies. Implementation of technology practices according to security, compliance, and regulatory requirements, actively managing risks. Digital transformation/change projects, programmes, and More ❯

in English and German, both written and spoken. Strong knowledge of digital banking and financial services. Working knowledge of AI, machine learning, and predictive analytics. Conversational understanding of architecture, analytics, Linux, Java, and SQL. Experience in managing RFIs, RFPs, and proof of concepts. Ability to tailor demos and workshops to specific prospect needs. Strong confidence and excellent presentation and customer More ❯

growing operations. This role focuses primarily on reviewing incoming and outgoing payments along with supporting documentation, as well as assisting with accounts receivable and payable, treasury reconciliations and MIS analytics and reporting as part of operational support. Onboarding and treasury responsibilities will increase over time as training and development progress. You will support the head of Operations and Treasury as More ❯

segment Be multi-channel capable - synergising mobile app and website experiences with a primary focus on mobile app B. Data-Driven Decision Making: Setup event tracking to enable funnel analytics and CRM capabilities Enrich funnel metrics to breakdown effectiveness of strategies at each stage of funnels Create dashboard views to provide analytical insight on product performance C. Drive Value Throughout More ❯

relationships to catalyse client-facing interaction and investigation. • Assist in developing, maintaining, and enhancing pre-existing library of scripts/analyses, under the guidance and instruction of established Quant Analytics team. What You Will Bring • University degree or equivalent with proven and displayed competency in data interrogation. • Strong proficiency and experience in Python (e.g., NumPy, pandas, scikit-learn) and quantitative More ❯

Business Intelligence Engineer, ReCommerce Amazon.in ReCommerce team is seeking a talented, self-driven and experienced Business Intelligence Engineer to lead analytics for their business. This pivotal role provides you opportunity to work with an exceptionally innovative and talented business, product and tech teams who are spread across geographies. You should be passionate about designing, building and deploying mid-size to More ❯

law. Accommodation is available upon request for candidates taking part in the selection process. Senior Data Engineer (Azure/Databricks Job Family Grouping: Chief Underwriting Officer Job Family: Data & Analytics Location: London How does this role contribute to our collective success? The Data & Analytics department transforms raw data into actionable insights to drive informed decision-making and optimize business operations. … on the Azure platform, ensuring efficient data processing, storage, and retrieval. You will play a key role in modernizing our data architecture, ensuring efficient data integration, and enabling advanced analytics to support critical business decisions. This role will enhance the department's ability to deliver high-quality analytics and maintain robust data infrastructure. What will you do in this role More ❯

growing operations. This role focuses primarily on reviewing incoming and outgoing payments along with supporting documentation, as well as assisting with accounts receivable and payable, treasury reconciliations and MIS analytics and reporting as part of operational support. Onboarding and treasury responsibilities will increase over time as training and development progress. You will support the Head of Operations and Treasury as More ❯

gathering user feedback, conducting usability tests, and iterating on product features accordingly. Collaborate with UX/UI designers to create intuitive and engaging platform interfaces. Monitor user metrics and analytics to identify areas for improvement and drive product optimization efforts. Cross-Functional Collaboration: Collaborate with stakeholders, including developers, designers, marketers, and sales teams, to ensure a seamless integration of AR More ❯

function to enhance operational efficiency and scalability. Oversees product management documentation, knowledge management, and tooling (e.g., Jira, Notion). Partners with stakeholders to define key performance indicators (KPIs) and analytics infrastructure for product insights. Advocates for the customer throughout the product lifecycle by gathering insights through user research, testing, and feedback loops to inform product features and strategies. Oversees development More ❯

recommendations and assessing liquidity analysis. Monitoring the different asset class markets, enhancing and updating market comparables and market intelligence. Delivering periodic activity reports on the ACS scope. Contributing to analytics projects such as CLO investor analysis, new issuance premium analysis, sector comparables, and deal idea generation. Supporting team members in producing a weekly market update document. Assisting Origination teams in More ❯

Experience with SaaS or Enterprise software in the Logistics industry. Experience with contract negotiations and renewals for enterprise clients. Familiarity with customer success tools (e.g., Gainsight, Totango) and data analytics platforms. Apply because you want to Have the opportunity to work in the international logistics industry that drives the global economy Work with stakeholders on a global level across different More ❯

machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Fraud and abuse prevention is a real-money game where our software and analytics teams strive to outsmart those who attempt to defraud Amazon and our customers. As a Business Analyst for Risk Mining in the Account Integrity group, you will be responsible for More ❯

with UGC platform representatives. Collaborate with other internal teams on all related topics: KYC, client trust score, etc. Manage and train junior colleagues. Data Analysis and Reporting Utilize platform analytics to track performance of claimed or monetized content; provide insights on revenue, audience engagement, and infringement trends. Compile regular reporting on compliance, claims resolutions, and emerging risk areas for senior More ❯

Data Elements standards. You have experience defining data controls and validation processes. You're familiar with regulatory or bureau data submission processes. You have hands-on experience with data analytics, profiling, and cleansing. You've created Data Quality dashboards and visualisations. You're skilled in root cause analysis and remediation planning. IT IS NOT ESSENTIAL BUT IT WOULD BE GREAT More ❯

Cross Indication team collaborates across both Relations internal and partnership programmes, applying state-of-the-art computational methods to integrate diverse datasets. By combining biological insights with advanced data analytics, the team drives target discovery and validation initiative. Your responsibilities Develop and implement computational workflows for analysing multi-omics data. Perform data integration to uncover disease mechanisms and identify actionable More ❯