2,626 to 2,650 of 10,326 Analytics Jobs

completeness, and relevance of AI-produced outputs. Compare multiple AI-generated solutions and identify the strongest response based on technical merit. Evaluate Python, SQL, analytics, machine learning, statistical, and data engineering-related content. Provide clear written feedback and justification for evaluation decisions. Identify factual inaccuracies, logical errors, coding issues … independently while maintaining quality and productivity expectations. Participate in onboarding and qualification activities, including an initial paid assessment. Qualifications Extensive Data Science experience in analytics, machine learning, statistical modeling, data engineering, business intelligence, artificial intelligence, or related applied disciplines. Undergraduate study does not count toward the minimum experience requirement. Working ...

alongside our customers to solve their complex and unique challenges. As our next Data Engineer, you’ll be managing and developing data pipelines and analytics that transform raw data into valuable insights for Roke’s National Security customers, enabling downstream analytics and reporting. You’ll be working with diverse data … development – Data ingestion and pipeline orchestration design and tooling. Data integration – Integrating and enriching data from various sources, ensuring data consistency and quality. Data analytics – Extracting valuable insights from data to provide customers with actionable intelligence. Data security – Implementing data security measures to protect sensitive information. Data systems – Monitoring ...

Marketing Insights Strategy Analyst - 12 Months Contract - Hybrid - London Description Support the Marketing and Sales teams with custom insights, ad tech research, and advanced analytics, delivered in the form of Keynote narratives, data products, statistics, and talking points. Develop custom research and feeds, leveraging 3rd-party custom and syndicated research … from their datasets and scale them into commercial data products. Source and distribute ad tech research, actionable market intelligence and competitive intelligence. Drive business analytics projects through all phases, including data quality, quantitative analysis, automated AI summarization, and presentation of executive-level deliverables. Develop data models and analytical tools ...

evaluating product changes and identifying new opportunities for improvement. As a leader in your team, be accountable for its success, champion the use of analytics and support other Data Analysts Plan and prioritise the analytical components of projects and ensure clear communication with Analytics leadership and adjacent teams Qualifications Someone … programmes and practices that inform product or business decisions. A good understanding of methods for statistical inference (e.g. Bayesian, Frequentist) and familiarity with predictive analytics techniques is highly beneficial. Working knowledge of common analytics tools used for tracking and analysing user behaviour, such as Google Analytics or similar platforms. ...

Crime or related risk domains is advantageous. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies … required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision ...

data mining techniques to combine multiple large customer, transaction, campaign and digital datasets into new data marts, analytical models and reusable insight assets. Descriptive Analytics: Interpret data and present findings to stakeholders in a clear and impactful manner to drive data-driven decision making. Deliver deep-dive customer insight … recommendations that explain customer performance and behavioural trends. Advanced Analytics: Apply statistical and analytical techniques such as segmentation, clustering, predictive modelling and campaign measurement. Working knowledge of data science techniques including random forest, k-means and linear regression. Optimisation: Collaborate with cross-functional teams to identify opportunities for optimisation. Support ...

rewards Center‐of‐Excellence team shaping how we attract, reward, and retain talent across diverse markets. This role sits at the intersection of strategy, analytics, and digital transformation, modernising our TotalRewards approach and delivering competitive, insight‐driven solutions worldwide. Responsibilities Partner closely with HR teams across multiple countries to provide … Manage the global annual salary review process via Workday Advanced Compensation, ensuring system readiness, consistency, effective communication, training, governance, and stakeholder alignment. Apply data‐analytics and quantitative skills to deliver data‐driven reward insights—including pay equity, market competitiveness, and cost modelling—and translate complex data into clear recommendations ...

insights. You will collaborate closely with Product teams to understand their objectives, analyse user behaviour, and identify opportunities for improvement. Your expertise in product analytics and insight delivery will enable you to uncover user frictions, hidden patterns, measure product performance and make meaningful recommendations. Here are just some …/B and multivariate tests to measure the impact of new features, content, and campaigns on user acquisition, engagement, and retention Support digital analytics tracking by gathering requirements, raising implementation requests, and performing debugging and QA Collaborate with Data Engineering teams to ensure data quality, define data requirements, and improve ...

help us make smarter investment and asset management decisions. The primary focus of this role will be in applying machine learning and predictive analytics techniques, doing statistical analysis, and building high-quality prediction systems integrated with our business model. This role will support and challenge the investment and asset management … have potential deals and where we will manage our existing assets. KEY RESPONSIBILITIES Assist the Business Insights team with Welltower’s data and analytics strategy and predictive analytics application for UK asset management and investment teams Work with the investment and asset management team to guide them to the right ...

infrastructure, real estate, and related alternative asset classes. The team is responsible for identifying, designing, and delivering data solutions that leverage Bloomberg's proprietary analytics, data infrastructure, and private markets data. This requires deep understanding of private markets data sourcing, client workflows, data delivery mechanisms, APIs, feeds, cloud-based distribution … private markets data strategy, influencing stakeholders and supporting commercial growth. You'll Need to Have20+ years of experience in product management within financial data, analytics, investment technology, or enterprise data platforms, including 10+ years in a leadership capacity. Proven experience in product management or equivalent, particularly in private markets data ...

cloud-based environment. The role focuses on Airflow orchestration, Kubernetes deployment on Azure, data modeling and building a modern data warehouse to support analytics and product insights. You will mentor juniors, collaborate with stakeholders, and help shape the data platform roadmap in a fast-growing SaaS business. #J-18808-Ljbffr ...

content team, working directly with editors to turn engagement and coverage data into the decisions that shape what we publish. Sitting within the analytics team alongside our analysts and analytics engineers, you'll own content analytics end-to-end, from instrumentation through to the insight that changes editorial strategy. Build … contributor with real technical depth who's excited to sit inside a newsroom and use data to shape what gets covered and how. Proven analytics experience, ideally in media, B2B SaaS or fintech, owning analysis end-to-end and driving real decisions. Expert SQL for complex analysis, optimisation and reusable ...

design of a cloud-based Lakehouse on Fabric, implement scalable pipelines, model data, govern development, and collaborate with stakeholders to deliver Power BI analytics and reporting. #J-18808-Ljbffr ...

leading Exposure Management team at one of Lloyd's largest syndicates. The successful candidate will be helping to develop and maintain cutting edge analytics across all classes of business. This is an excellent opportunity for a candidate looking to have a material impact at a top Lloyds' syndicate and global … Exposure Management team and have a real opportunity to meaningfully influence the cat portfolio management process and risk selection. Key Responsibilities Working with the Analytics & Research and wider exposure management team to drive improvements to view of risk (VoR) across classes of business. Work with exposure management team, claims ...

with service teams and colleagues within the team to: Build analytical products and tools that support frontline staff and strategic decision-makers. Apply advanced analytics, machine learning and natural language processing techniques to generate actionable insight. Help shape the future direction of the B&D Matrix and identify new opportunities … measurable impact for residents. This is an opportunity to be part of a team that is pushing the boundaries of how data, AI and analytics are applied in local government. We're looking for a talented and curious Data Scientist to join our ambitious Insight & Innovation Team. This ...

support future AI-enabled analytics. What you'll be doing day to dayAs an Analytical Engineer, you'll work closely with Data Engineering, Analytics, Product, Commercial and Technology teams to create high-quality analytical data products. You'll help define and maintain the business logic, metrics and semantic structures that … support reliable, well-governed analyticsHelping shape semantic layers that support BI tools, modern analytical workbenches and emerging AI use cases such as natural language analytics and text-to-SQLImproving data quality through testing, monitoring, validation and clear ownership of analytical modelsPartnering with stakeholders to understand reporting and insight needs, then ...

seeking a senior data engineer to design and build scalable SQL databases and cloud data solutions in Azure. You will develop data pipelines for analytics and ML workloads, collaborate with data scientists, and ensure governance and security across data platforms. The role requires 5+ years of experience in data engineering ...

principles and modern development practices Support the adoption of CI/CD, automated testing and DevOps practices Identify opportunities to incorporate AI and advanced analytics capabilities into the product Coordinate technical work across internal teams and external partners to ensure quality and consistency Drive continuous improvement in code quality, maintainability … across engineering and product teams Degree or equivalent experience in computer science, software engineering or a related discipline Desirable Experience developing data-driven or analytics platforms Experience working with telemetry-heavy or connected-device systems Experience coordinating development across distributed or external teams Experience applying AI or advanced analytics within ...

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve … clients combine hundreds of databases from industry-leading suppliers into a single, powerful information system—delivering instant access to accurate financial data and analytics around the world. Deep Sector Initiative Deep Sector is FactSet’s strategic effort to collect new content, enhance existing fundamentals coverage, and deliver advanced reports, analytics ...

architecture discussions. Occasional UK and international travel may be required. Strong communication and consulting skills are essential. The role focuses on delivering data modernization, analytics and governance with a growth mindset, mentoring others and #J-18808-Ljbffr ...

Analyst BI focusing on 3PL order management and finance operations. Hybrid work from London or Woking, UK, with a blend of business analysis, data analytics, and AI-driven process improvements across ERP-enabled processes. You will translate complex requirements into data models, dashboards, and actionable insights for operations and leadership ...

often thousands of pounds per client in fees -as part of a wider mission to save UK investors over £7 billion a year. Woven Analytics gives advisers a single, normalised view of their whole book, and we are already partnered with around 30% of the UK platform market. We believe … well here. The work itself is client data - extracting it, interrogating it, cleaning it and making sense of it across acquisitions, platform migrations and analytics projects. Most of it starts life in advice CRM and back-office systems, which is why we care so much about people who already know ...

stakeholders and the opportunity to influence how data is used across the business. You will work as part of a central data team, delivering analytics that drive decision-making across Finance, Operations, Product, and Compliance. You’ll translate complex business problems into structured analysis and scalable data solutions. Key Responsibilities … deep-dive analysis to support leadership and strategic decisions Support data infrastructure, pipelines, and data model development Candidate Profile 6–8+ years in Data Analytics, Data Science, or similar Advanced SQL and strong data modelling experience Experience with modern data warehouses (e.g. Snowflake, BigQuery, Redshift, Postgres) Experience working with cross ...

strategies, you’ll balance short and long-term value while keeping everything aligned with regulatory expectations. You’ll also lead and grow a talented analytics team, building capability that keeps us ahead as our tools, tech and ambitions evolve. What you will be doing Shaping and delivering strategies to personalise … performance tracking Working with Partnerships and Marketing teams to measure ROI and improve cross‐sell effectiveness Recruiting, developing and leading a high‐performing analytics team About You Strong experience with SQL, Python or similar analytics tools Deep understanding of experimentation frameworks and the statistics behind them Proven experience building segmentation ...

growing its Architecture capability. Join a team that sits at the heart of our most important client relationships, advising on complex data, AI and analytics challenges with deep expertise across the entire delivery lifecycle. We build trusted partnerships with senior stakeholders by translating business needs into technology solutions and measurable … challenges. You will help organisations unlock the value of their data by defining and guiding architectures that enable effective use of data, AI, and analytics to address their most critical business problems.**Key responsibilities include:*** **Advising senior stakeholders on data, AI, and analytics architecture** Being a trusted advisor ...