2,801 to 2,825 of 10,302 Analytics Jobs

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 ...

hands-on experience with cloud platforms, preferably AWS and/or Microsoft Azure . At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java ...

Analyst to work our commercial & pricing strategy in our motor finance team (Autolend). This role is suitable for someone who loves using strong analytics to optimise our business, improve funnel performance while still delivering a good portfolio return. You'll be entrusted with thought leadership on our commercial strategy … specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog! LocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentGrowth & Analytics ...

improve reporting dashboards and business intelligence solutions. Support the implementation of "Digital by Default" reporting initiatives and contribute to the development of data analytics and business intelligence capabilities. Share knowledge and best practices to continuously improve reporting and project controls performance across the organisation. We're looking for: Essential Experience … large-scale capital programmes. Experience developing reporting frameworks and performance reporting solutions. Experience using Power BI and other data visualisation tools. Knowledge of data analytics, statistical analysis, and business intelligence methodologies. Experience working within highly regulated environments. At CMR we have a strong culture driven by our 9 Core Principles. ...

clients. Cultivate and maintain strong relationships with clients and partners, ensuring alignment on project goals and delivering exceptional advisory value. Leverage advanced data analytics and industry research to continuously enhance the relevance and effectiveness of advisory services. Monitor and interpret industry trends, emerging technologies, and best practices to inform … Skills -Artificial Intelligence (AI), Artificial Intelligence (AI), Banking Capital Markets, Bank Risk Management, Business Banking, Business Consulting, Client Relations, Cloud Computing, Critical Thinking, Data Analytics, Databricks Platform, Electronic Hardware, Executive Presence, Fast Moving Consumer Goods, Food And Beverage (F&B), Generative AI, Hospitality, Industrial Manufacturing Processes, Insurance, Legacy Modernization, Life ...

definitions across the Group. Lead the development of reporting, dashboards and management information to support decision-making. Drive the adoption of reporting, analytics and AI-enabled solutions to improve business insight and operational performance. Systems Integration & Process Improvement Oversee integrations and data flows between finance and operational systems, ensuring information … business. Experience supporting acquisitive growth and post-acquisition integration activities. Experience working in international and/or multi-currency environments. Exposure to business intelligence, analytics or reporting platforms. Knowledge of NetSuite and associated finance technologies. Accounting qualification (ACA, ACCA or CIMA) or equivalent experience. Personal Attributes Commercially minded and able ...

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 … members of the team that will support developing your commercial and analytical expertise 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 ...

that has extensive experience developing performance management strategies, building high-performing teams, and enhancing project controls capabilities. Skilled in leveraging technology, automation, and advanced analytics to improve decision-making, drive efficiency, and deliver strategic outcomes. Recognised for anticipating challenges, influencing stakeholders, and leading continuous improvement across complex programmes and organisations. … advantage. QualificationsDegree or qualification in a relevant discipline with some experience in a project control environment; Attainment or working towards qualifications in data analytics or systems and data tools desirable Working knowledge of Primavera P6, Predict, ARM or Power Bi would be advantageous. Full UK Driving License. Candidates are expected ...

first few months. Help define, recruit and mentor the team as the function grows. Required Qualifications: Significant experience as a senior data or analytics engineer, comfortable owning architecture and making source‐of‐truth decisions independently. Strong hands‐on data skills: fluent SQL, solid data modelling, and a modern data stack. … with the buzzwords. A proven track record in integrating multiple operational and commercial or SaaS systems. For us, that landscape includes Databricks, HubSpot, product analytics via Pendo, fleet and robot telemetry via Grafana, deployment tooling and contractual data. The communication and facilitation skills to align non‐technical stakeholders on shared ...

Data & AI Solution Architect at Capgemini, you will design and lead the delivery of intelligent data platforms and AI-native solutions that unlock advanced analytics, GenAI, and autonomous decision‐making at scale. You will translate business strategy into AI‐ready, governed architectures and take ownership from data foundations through … build, and scale enterprise solutions while continuously bringing new innovations into delivery. Key Responsibilities Include Design scalable, secure Databricks Lakehouse architectures that unify data, analytics, and AI. Use GenAI and developer tooling to accelerate delivery, generating production‐ready pipelines, infrastructure, and business logic. Build enterprise‐grade data pipelines ...

with secure developer environments, enterprise guardrails, or policy enforcement Experience with containerised development environments or remote/offloaded development models Exposure to telemetry, usage analytics, or engineering reporting pipelines Experience in regulated or control‐heavy enterprise environments Some data engineering or analytics capability, particularly where reporting and insight generation ...

solutions. Establish regular stakeholder communication cadences and reporting mechanisms to maintain transparency on product progress, risks, and business impact across the organisation. Leverage product analytics and data-driven insights to inform prioritisation decisions, validate product hypotheses, and continuously optimise user experience and business outcomes. Qualifications Required: Demonstrated experience leading product … advanced degree in IT, Engineering, Computer Science, Life Sciences, or a related field—or equivalent practical experience. Preferred Proven experience in product analytics, data-driven decision-making, and continuous optimisation of user experience and business outcomes. Demonstrated capability in budget allocation, resource planning, and financial performance management to ensure optimal ...