2,776 to 2,800 of 10,251 Analytics Jobs

team at the company. This role is focussed on all things data analysis and AI. You will be reporting to the Group Performance and Analytics Lead within the FP&A team and work closely with the Finance Data team. This role You’ll thrive on digging into complex financial … across the business. You’ll play a key role by... Data Translation & Infrastructure: Translating financial and commercial requirements into scalable data assets, collaborating with analytics engineers to improve core data pipelines, and building downstream reporting functionality. Insights & Reporting: Preparing management information, delivering actionable insights, and building data solutions to help ...

agile or cross‐functional teamsAdditional Knowledge & SkillsStrong communication skills for presenting research findings, design rationale, and recommendations to stakeholders. Ability to work with data analytics (e.g., heatmaps, behavioural analytics, conversion metrics) to support UX decisions. Familiarity with information architecture, content structure, and interaction patterns across digital platforms. Familiar with ...

innovation? About the BusinessLexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers ...

excellence in leadership, communication, and cross-functional influence. What You will do: Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. Serve as a trusted strategic advisor to senior … lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design).Scaling Impact: Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products. Critical Thinking: Leader in critical thinking, your previous experience will demonstrate ...

controls and quality assurance processes. Support dashboard development, reporting automation and analytics. Improve data reliability, coverage, traceability and timeliness. Key Skills Data engineering and analytics expertise. Experience with Power BI and Databricks. Strong data modelling and ETL skills. Understanding of cyber security technologies and security data sources. Guidant, Carbon60, Lorien ...

skills, required to translate complex business challenges into clear recommendations for executive stakeholders Demonstrated proficiency in artificial intelligence concepts, with experience using AI-enabled analytics, automation, or workflow tools to identify process improvement opportunities, enhance operational efficiency, and support data-driven decision making Proven ability to evaluate and implement … within governance forums and leadership discussions, influencing strategic decisions and prioritisation Promote innovation and digitalisation by identifying opportunities to leverage technology, automation, and advanced analytics to improve business processes About the Team The Business Process Transformation team is responsible for transforming the quote to cash processes to efficiency and effectiveness ...

skills, required to translate complex business challenges into clear recommendations for executive stakeholders Demonstrated proficiency in artificial intelligence concepts, with experience using AI-enabled analytics, automation, or workflow tools to identify process improvement opportunities, enhance operational efficiency, and support data-driven decision making Proven ability to evaluate and implement … within governance forums and leadership discussions, influencing strategic decisions and prioritisation Promote innovation and digitalisation by identifying opportunities to leverage technology, automation, and advanced analytics to improve business processes About the Team The Business Process Transformation team is responsible for transforming the quote to cash processes to efficiency and effectiveness ...

teams across Planday work from trusted data with confidence. What You’ll Do Set the architectural direction of our data platform so it serves analytics, product engineering, and AI/ML from one coherent design, collaborating with Platform and ML engineering on shared infrastructure. Design the dbt models, semantic layer … trustworthy downstream. Own orchestration and observability in Dagster, and onboarding new sources in a way that scales. Innovate on self-serve and AI-enabled analytics, from semantic models and agentic workflows to our BI layer. Build the historical and low-latency foundations that make predictive and real-time use cases ...

controls and quality assurance processes. Support dashboard development, reporting automation and analytics. Improve data reliability, coverage, traceability and timeliness. Essential Criteria Data engineering and analytics expertise. Experience with Power BI and Databricks. Strong data modelling and ETL skills. Understanding of cyber security technologies and security data sources. This role ...

digital channels. Develop audience strategies using CRM insight and first-party data. Continually review and improve digital marketing performance and ROAS. Commercial Insight & Analytics Own digital reporting across the business. Analyse campaign performance, guest behaviour and commercial trends. Translate customer insight and digital performance into actionable commercial recommendations. Develop executive … local SEO, content optimisation and emerging AI/LLM search optimisation. Hands-on experience using GA4, Google Tag Manager, CRM platforms and digital analytics tools to build reporting, measure performance and generate actionable insights. Ability to translate customer data and digital performance into commercial growth opportunities , using insight to influence ...

collaborative and agile environment and are always looking for great people to join us in building the next generation of data management and analytics solutions for the alternative investment industry. About the Role As an Agentic AI Developer at Allocator, you will work within our development team to build … that produce measurable improvements. Primary Job Responsibilities Design and deploy platform features, data pipelines, automations, and internal tools that improve Allocator's data aggregation, analytics, and reporting workflows Use AI coding assistants as core daily tools; we value problem‐solving ability and execution speed over memorising syntax Build agentic workflows ...

hiring, team development, vendor relationships and strategic planningKey Responsibilities: Engineering Team Leadership: Build, lead, and develop a team of data engineers, analytics engineers, and platform engineers. Set expectations, run 1:1s, manage performance, and create an environment where strong engineers want to stay and grow. You are accountable … Reliability: Ensure production systems meet SLAs. Establish monitoring, alerting, and incident response processes. Education and Experience: 5/8+ years in data engineering, analytics engineering, or platform engineering roles3+ years leading engineering teams (hiring, performance management, delivery accountability)Direct experience with modern data stack: cloud data warehouses (Snowflake preferred), transformation ...

modern cloud data architecture with a strong consulting and commercial mindset. Snowflake is increasingly positioning Cortex AI as a way to build AI-powered analytics, work with structured and unstructured data, orchestrate data agents and keep AI close to governed enterprise data. Snowflake has also announced expanded capabilities across Snowflake … consulting, technology advisory, or data transformation roles Deep expertise across the Snowflake ecosystem. Strong understanding of: Snowflake Data Cloud Snowpark Cortex AI Data Engineering & Analytics AI and Generative AI Modern Data Architectures Proven track record of shaping and selling large-scale data and technology transformation programmes. Experience leading multidisciplinary teams ...

market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science and Analytics sits at the heart of this, developing the credit risk models and strategies to underwrite loan and credit card products. Our team is primarily focused … team that will support developing your technical expertise and domain knowledge Our team's objectives The pricing team owns the loans funnel analytics and pricing strategy We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions ...

reporting, alongside an existing Senior Exposure Analyst and with the support of multiple AnalystsKey Responsibilities (including but not limited to): Cyber and Liability Modelling & Analytics: Responsible for collation of cyber and liability portfolios for monthly roll‐up processes and monitoring of risk appetites. Responsible for execution of catastrophe modelling across … event response support. Develop, maintain and own documentation, files and controls on cyber and liability modelling processes, tools, and governance. Provide SQL and analytics support to create or improve reporting, dashboards, automation. Identify and execute process and control improvements, including but not limited to exposure and results data. People Management ...

Platform Delivery Employment Type: Fixed Term - Full Time Location: London Description The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI. … Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura’s projects. As an ML Engineer here, your core work ...

data from external sources into Azure and core operational systems Build and develop data warehousing solutions using Microsoft Fabric, transforming data for reporting and analytics Work hands-on with SQL, APIs, ETL processes and Python to automate and improve existing data processes Support the integration of systems including Salesforce, alongside ...

within Microsoft Azure environments Strong knowledge of modern data platforms, data architectures and integration patterns Experience with Azure Databricks or similar modern data and analytics platforms Good understanding of Azure data and integration services and how they fit within wider enterprise architectures Strong understanding of application and systems integration, including … other regulated environments Experience working within secure or highly governed environments Experience with Azure data and integration technologies such as Data Factory, Synapse Analytics, Data Lake Storage, Functions, Logic Apps or API Management Experience with Azure Databricks in large-scale enterprise environments Knowledge of enterprise application and data integration Relevant ...

documentation for internal stakeholders and clients. Engage with clients and partners to gather requirements, understand needs, and ensure alignment on project goals. Utilize data analytics and industry research to enhance the quality and impact of advisory services. Monitor industry trends, emerging technologies, and best practices to contribute to the continuous … Generative AI, Hospitality, Industrial Manufacturing Processes, Insurance, Life Science, Media And Communications, Pharmaceutical Industry, Property & Casualty Insurance, Retail Banking, Retail Banking Products, Risk Analytics, Semiconductors {+ 3 more}LanguageEnglish, EnglishLanguage Proficiency -Proficient - C2Additional Job Location -Job TypeRegularMaster Skill List -Industry AdvisoryRemote Type -HybridWork Shift -Standard (United Kingdom)Why join Genpact ...

link Copy link Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. 3 years of experience in people management, in leading … coach a high-performing team of Business Data Scientists and Analysts. Advocate knowledge sharing, collaboration, and solution reuse across Google’s broader marketing analytics and data science communities. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative ...

annual plan and the scope of individual audits. Deliver end-to-end audits in a risk assessed, timely, and focused manner, utilising data analytics tools where appropriate. Monitor the audit budget to minimise overruns and delays. Track agreed audit actions to ensure implementation is achieved against targets and the remediation … knowledge of financial, operational and technology controls, with the ability to assess control effectiveness across a wide range of business processes. Experience using data analytics tools and audit technology to enhance testing, reporting and audit insights. Experience working with Risk, Compliance or other assurance functions to coordinate assurance activity ...

team. This is a senior leadership role with accountability for the development and oversight of Admiral Money's impairment, forecasting, stress testing and capital analytics capabilities across unsecured personal loans, motor finance and mortgages. The role combines deep technical expertise with leadership, strategic influence and governance responsibilities. You will lead … forecasting, reporting and automation capabilities to enhance efficiency, scalability and insight generation. Skills & Experience Essential Significant experience leading impairment, forecasting, stress testing or capital analytics activities within a regulated lending environment. Deep technical expertise in IFRS 9 impairment modelling and expected credit loss (ECL) methodologies. Strong understanding of stress testing ...

Skills and Competencies 3+ years of experience delivering software implementations, customer trials or technology adoption programs, preferably within financial services, financial software, data or analytics Strong client-facing delivery experience, including requirements gathering, solution configuration, stakeholder management, onboarding and training Working knowledge of RESTful application programming interfaces, JSON, data integration … Preferred: Experience working with Model Context Protocol services, agentic workflows, generative artificial intelligence platforms or embedded data solutions Preferred: Familiarity with basic coding and analytics principles, including HTML, Python, JavaScript or data visualisation tools Demonstrated proficiency in artificial intelligence concepts, with hands on experience using AI tools to streamline workflows ...

path toward an exciting new career at Equifax, where you can make a difference!**Primary Location:**GBR-Nottingham**Function:**Function - Data and Analytics**Schedule:**Full timeAt Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy ...

responsibilities, points of inconsistency or redundancy2. Data Architecture & Platform EnablementSupport the design of practical, scalable data architectureEnsure alignment between: operational systems, cloud platforms, analytics environmentsWork closely with IT to ensure that solutions are: technically robust, aligned with business needs3. Connectivity & Data StandardsDefine and enforce: data connectivity standards, data ingestion logic … decision supportHelp ensure a single, consistent data logic across the programmeThe experience we're looking for2–5 years experience in: manufacturing/CPG environmentdata analytics/data engineering/industrial dataExposure to: supply chain processes (basic understanding)digital or IT-enabled manufacturing environmentsExperience with data platforms (e.g. Siemens, Azure ...