2,601 to 2,625 of 5,417 Analytics Jobs

The ability to build sophisticated workflows in Adobe Campaign, including audience segmentation, data interpretation, complex queries, integration with other data sets etc. Analyse campaign performance using tools like Adobe Analytics, reporting on key metrics such as open rates, click-through rates, and conversion rates that will inform future recommendations on contact strategy. Utilise Adobe Target (if applicable) to conduct A More ❯

there's nothing we can't achieve. BASIC QUALIFICATIONS - Bachelor's degree - Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). - Experience in technology/software sales, pre-sales, or consulting - Fluent Dutch speaker - Excellent communication and presentation skills to effectively engage with technical and non-technical stakeholders PREFERRED QUALIFICATIONS More ❯

the request to the correct data centre "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor Provider Description Enabled Google Analytics Provider Description Enabled LinkedIn More ❯

campaign activity, problem solving any challenges that may arise, and collaborating with the consumer journeys and Data team Support the account management team in the delivery of post campaign analytics and relationship development Communicate brand partner needs with internal senior team members to ensure product development and overall execution aligns with brand partner goals and objectives Support in the development More ❯

way of developing people through a world class programme of vocational learning. Corndel delivers a range of programmes, including Leadership and Management, Project Management, Business Administration, Data Professional, Data Analytics, DevOps, Software Development and Fundraising. You will: Manage a caseload of learners, mentoring, coaching and equipping them to develop the technical skills needed to be successful in their roles Deliver More ❯

London, England, United Kingdom Who we are: For over 20 years, Global Relay has set the standard in enterprise information archiving with industry-leading cloud archiving, surveillance, eDiscovery, and analytics solutions. We securely capture and preserve the communications data of the world's most highly regulated firms, giving them greater visibility and control over their information and ensuring compliance with More ❯

able to perform manual calculations and able to check the work of less experienced pensions administrators. A FTSE 250 company, XPS combines expertise and insight with advanced technology and analytics to address the needs of over 1,400 pension schemes and their sponsoring employers on an ongoing and project basis. We undertake pensions administration for over one million members and More ❯

working in a dynamic environment and managing multiple projects simultaneously. Be passionate about 'whats next' in social, to stay ahead of the curve. Be adept at using data and analytics to measure the effectiveness of social campaigns and optimize performance. Be a proactive and results-oriented individual with a strong work ethic and a commitment to excellence. Qualifications & Experience Proven More ❯

practical AI engineering. Proven track record in developing and delivering novel AI solutions to satisfy customer needs. Demonstrable knowledge and experience of delivering operational AI solutions. Familiarity with data analytics, technology, and governance. Excellent stakeholder and project management skills, with experience in client-facing roles. Strategic mindset with the ability to balance innovation with business needs. Experience in user interface More ❯

and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape More ❯

case that changes in the future, please apply and we'll save your application for possible future consideration. Sprout Social is a global leader in social media management and analytics software. Sprout's intuitive platform offers comprehensive social media management solutions, including publishing and engagement functionality, customer care, influencer marketing, advocacy, and AI-powered business intelligence to more than More ❯

use data-driven analysis to recommend performance improvements. Lead a discussion with key vendors to drive continuous improvement initiatives. 4. Business Process Analysis and Improvement: Dive deep into business analytics to identify potential areas for improving internal and external processes. Present findings to relevant teams and propose scalable, data-backed solutions to enhance production efficiency and customer satisfaction. 5. Team More ❯

good relations, sharing of knowledge and best practice, innovation, and continuous improvement. Resourcing & Workforce Planning-have adequate resources to deliver against contractual requirements. Driving data capture and utilising business analytics to manage and monitor performance, as well and support decision making. Set objectives, review performance, and maintain a technical team with necessary skills and understanding to deliver key objectives. Communicate More ❯

case that changes in the future, please apply and we'll save your application for possible future consideration. Sprout Social is a global leader in social media management and analytics software. Sprout's intuitive platform offers comprehensive social media management solutions, including publishing and engagement functionality, customer care, influencer marketing, advocacy, and AI-powered business intelligence to more than More ❯

skills in a global organization. Additional Preferred Qualifications: Experience in B2B marketing or content-heavy organizations Background in web content strategy or digital operations Exposure to Adobe Target, Adobe Analytics, and audience segmentation tools What's In It for You? Structure:Shape how content is categorized and discovered across a global digital ecosystem. Impact:Enhance personalization, engagement, and findability across More ❯

would be a significant plus. will possess excellent technical financial modelling skills: multivariate models with inputs drawn from various sources of varying formats and completeness, capable of advanced scenario analytics - with effective presentation of results. is enthusiastic and pro-active with a can-do attitude - always willing to get stuck-in and support fellow peers with a focus on high More ❯

use of tools and systems within the Content Integrity team and the wider Trust and Safety department, with a focus on custom development solutions. Collaborate with Workforce, Planning, and Analytics functions to provide actionable insights into processes and performance, often requiring custom data extraction and reporting solutions. Manage onboarding and offboarding of users across Salesforce and other relevant tools, resolving More ❯

apps in prod: one for clinical users and one for patients. Our stack is currently entirely in JS/TS: Angular + Capacitor + Electron, React (internal tools), Amplitude (analytics), a fully serverless backend in AWS (Cognito, Appsync GraphQL, Lambda, DynamoDB). We have good functional & unit test coverage and CI/CD. Our stack is in a great place More ❯

available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here for the latest third party bias audit information. If you prefer not to have More ❯

can securely scale operations, improve disaster recovery plans, or enable AI-driven innovation through our platforms. What skills are needed in your role? How did you acquire the skills? Analytics & Management skills. I acquired skills through practical implementation of what was learned during studies. What's a typical day like? Typical day is busy analyzing data for the work already More ❯

LEAD ANALYTICS CONSULTANT - DIGITAL & MARKETING ANALYTICS £65,000-£80,000 + BONUS LONDON 2 DAYS PER WEEK THE COMPANY This is a rare opportunity to step into a leadership-level role at a specialist digital analytics consultancy with a reputation built entirely on inbound referrals. They're now gearing up for growth - with a rebrand, new outbound strategy and plans … accounts while helping define how the team operates and grows. You'll have real influence over strategy, delivery models and how the business scales. Projects will span: Digital marketing analytics incl. MMM, attribution, incrementality testing LTV, Clustering, Propensity modelling Customer enrichment, clustering and personalisation Dashboards, reporting and ongoing insight generation Building new ways of working, project scoping and delivery Leading … client relationships and contributing to outbound strategy YOUR SKILLS AND EXPERIENCE Strong experience in digital/marketing analytics (agency or mixed background ideal) Two or more of the following: SQL, Python, AA, GA4 Confident communicator with client leadership experience One or more of the following: Looker, Tableau, Power BI or similar Strategic thinker with a delivery mindset Comfortable in small More ❯

code. We believe in a best-of-breed strategy, emphasizing integration and utilization of business data for value creation. You will be a key resource in applying effective integrations, analytics, AI, and Machine Learning to predict optimal outcomes and provide intelligent insights to our customers. VesselMan offers a supportive and engaging work environment, prioritizing continuous learning and growth. This is … a unique opportunity to work closely with experienced developers and architects skilled in backend development utilizing MS Azure, Amazon AWS, modern integrations, and data analytics/AI/ML. Responsibilities include: Utilize data analytics and ML/AI tools to leverage data within the solution. Integrate AI into applications, deploying models into web or mobile apps using APIs or embedded … solutions. Develop server-side applications and integrations using technologies like Node.js, Python, or Java, incorporating analytics, big data, and AI/ML modules for insights and guidance. Create and integrate APIs for communication between front-end and back-end systems. Collaborate with UI/UX designers to ensure technical feasibility and implementation of design concepts. Conduct code reviews, testing, debugging More ❯

pipelines and ETL processes to ensure efficient data flow and integration Data Infrastructure Management:Manage and enhance our data infrastructure to support performance, scalability, and long-term reliability Advanced Analytics Support:Build and maintain data models, data marts, and data lakehouse architectures to support data science initiatives, advanced analytics and reporting Data Quality Assurance:Implement data quality checks to maintain … or equivalent experience required Deep proficiency in Python, SQL, Cloud Platforms AWS, GCP, Azure). Data Warehousing (Snowflake), Orchestration (Airflow, Rundeck), Streaming (Kafka) Continuous engagement with Data Science and Analytics colleagues to understand requirements for our data-assets and empower them with best possible data, to create high value analytical services Ownership of assigned data products, including data model design … sexual orientation, gender identity, genetic information, or any other characteristic protected by law. At LexisNexis Risk Solutions, our businesses span multiple industries providing customers with innovative technologies, information-based analytics, decisioning tools and data management services that provide market-specific solutions. Approximately 11,100 employees in offices throughout the world support our brands by serving customers in more than More ❯

Project-Program Management Team Lead, Data Science & Analytics Location: London, London, City of, United Kingdom Contract Type: Regular Schedule: 40 Job ID: R96672 About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth … and customer-centric persona when interacting directly with customers on a regular basis via phone, e-mail, and chat. Own strategic initiatives to deepen capabilities relating to self-service analytics, dashboarding and automating reporting of KPIs/wider MI. Collaborate with internal & external stakeholders to enhance data-driven decision-making and support business objectives. Requirements: Analytics management experience in domain … with a keen eye for detail and strong critical thinking skills. (A numerical degree is preferred) Proficiency in Snowflake or other cloud computing environments with focus on Big Data analytics, underpinned by proficiency in SQL and Python. Knowledge of version control and model monitoring principles is critical. Experience with interactive web applications is beneficial (Streamlit, Dash etc) Excels in conducting More ❯

systems, ensuring they align with business goals. Take ownership of key metrics related to credit risk and fraud, identifying trends and recommending improvements to strategies and policies. Drive fraud analytics by identifying and analysing patterns related to first-, second-, and third-party fraud, working with the Fraud team as needed. Influence senior stakeholders through the presentation of analysis and recommendations … relevant insights with the team. Mentor and support junior analysts, fostering a culture of analytical excellence and continuous development within the team. This is a significant role in the analytics team of a fast-growing business and hence the ideal candidate would be someone who: Is passionate about data, analytics, and credit risk management. Is proactive, self-motivated, and comfortable … skills, capable of presenting complex insights to both technical and non-technical audiences. To be successful, you should have: 3-5+ years of experience in credit risk, fraud analytics, or a related field, ideally within consumer lending. Strong proficiency in SQL to query and extract insights from large datasets; experience with Python is a big plus. Advanced Excel skills More ❯