2,126 to 2,150 of 9,631 Permanent Analytics Jobs

Manage resources and priorities effectively, balancing operational delivery with longer-term capability and process improvements. Experience & BackgroundEssential: Extensive experience in data management, data operations, analytics, or related technical data roles, including 3+ years of direct people management experience. Proven experience as a People Manager, with a track record of building ...

within IQVIA's Security Architecture team. Artificial intelligence and generative AI are transforming how IQVIA operates — from developer productivity and business workflows to data analytics and clinical innovation. As adoption accelerates across the enterprise, the security organization must scale its ability to govern, assess, and enable that adoption responsibly ...

management savvy and the confidence to advise customers as a trusted partner. Education Requirements Bachelor degree or equivalent professional experience in Business, Technology, Finance, Analytics or a related field. Relevant certifications (SaaS customer success, process improvement, Lean Six Sigma) are a plus. Team Context One of three ...

Manage CAPEX budgets and departmental expenditure, including preparation of business cases* Develop and review KPIs, ensuring appropriate countermeasures are implemented* Utilise manufacturing data and analytics to identify opportunities and drive sustainable improvements* Ensure compliance with applicable quality systems, regulatory standards and health & safety requirements* Develop departmental capability through coaching, mentoring ...

project plans, delivery roadmaps, requirements documentation and status updates. Translate business requirements into clear CRM process, data, reporting, automation, clear documentation and configuration requirements. Analytics, Reporting & Data Quality Use CRM data to identify pipeline issues, process inefficiencies, adoption gaps and data quality risks. Define and improve key CRM metrics, including ...

Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse ...

solution/application architecture. Drive adoption of DevOps practices, including automated deployments and environment provisioning. Implement monitoring, logging, and alerting using Azure Monitor, Log Analytics, and Application Insights. Troubleshoot complex infrastructure and configuration issues across environments. Create and maintain the documentations for knowledge sharing and training. Conduct proof‐of‐concepts ...

capability serving both central and divisional business lines across the entire IG estate. The Data Engineering team is responsible for the platforms that underpin analytics, reporting, compliance, and client-facing data products, and that will increasingly power AI and machine-learning use cases across the firm. The current data landscape ...

Zero by 2050. Our digital platform underpins a wide range of applications including workflow automation, forecasting engines, calculation services, contract and task management, analytics dashboards and data portals. As a mid‐level engineer, you will play a key part in implementing high‐quality software, collaborating with Senior Engineers, Product ...

Experience building workflow, case management, or process automation solutions. Experience integrating Appian with enterprise applications and cloud-based platforms. Exposure to AI-enabled automation, analytics, and modern DevOps practices. Financial Services or regulated industry experience is a plus. Talents Needed for Success: Fosters a culture where honesty and transparency ...

Zero by 2050. Our digital platform underpins a wide range of applications including workflow automation, forecasting engines, calculation services, contract and task management, analytics dashboards and data portals. As a mid‐level engineer, you will play a key part in implementing high‐quality software, collaborating with Senior Engineers, Product ...

hybrid cloud environments. Experience applying integration patterns, API‐led design and service‐oriented approaches across complex systems. Awareness of data platforms, information architecture and analytics capabilities within enterprise solutions. Knowledge of identity, access management and security‐by‐design principles aligned to government and industry standards. Understanding of application modernisation approaches ...

knowledge sharing across the team. What You Will Bring to the Role Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master's degree preferred. 4+ years of professional experience in data science, machine learning, applied AI, or a related analytical ...

Hive, Kafka, HBase Batch and near real-time processing Cloud and on-premise integration End-to-end experience designing and delivering data engineering or analytics solutions in cloud environments, ideally Azure. Hands-on experience building high-performing, scalable pipelines for structured and semi-structured data. Experience with batch and near ...

Confidence representing the organisation at industry events, including travel where required.Desirable* Experience with systems such as Zellis MyView, Ubeya, Benefex and SharePoint.* Familiarity with analytics tools and business intelligence dashboards.**Why should you apply?**This is a full-time perm position working 35 hours per week. Your main base will ...

main contentWe use cookies to personalise content and to analyse our traffic. We also share information about your use of our site with our analytics partners. View our cookies page (https://www.mundipharma.com/cookie-policy)# CareersSenior Business Systems Analyst page is loaded## Senior Business Systems AnalystApplylocations ...

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above tools and, whenever possible, adopt the company’s standard toolset for source code repository, continuous build and deployment.* Work closely with Quantitative Analytics and Quantitative Development team on various technical aspects such as model integration, performance, improvements and tracking issues to deliver highly reliable and highly complex technical solutions. ...

Data Science and Cloud Engineering. Technical Context: Extensive experience operating within high-security or safety-critical domains, with specific exposure to Big Data Analytics, Machine Learning (ML), and Hyperscale Cloud (AWS, Azure, or GCP) in a secure context. Regulatory Compliance: Strong practical experience working to established and international standards from ...

keeping recommendations practical and aligned to commercial realities. Help shape and deliver our team strategy and roadmap. Identify and drive opportunities for AI, data analytics and automation within insurance and BCDR activities, adopting and embedding new tools, techniques and methodologies where they improve effectiveness, visibility or efficiency. Support our culture ...

Data Science and Cloud Engineering. Technical Context: Extensive experience operating within high-security or safety-critical domains, with specific exposure to Big Data Analytics, Machine Learning (ML), and Hyperscale Cloud (AWS, Azure, or GCP) in a secure context. Regulatory Compliance: Strong practical experience working to established and international standards from ...

experience in AI drug discovery is a genuine differentiator for us. Interest in semantic technologies (graph databases, ontologies) or modern data stack. Experience enabling analytics teams by building data models for BI tools and dashboards. Familiarity with Infrastructure as Code (AWS CDK or Terraform) is a strong plus. Experience with ...

derive insights from large-scale system telemetry. Experience working with senior engineering, data science, risk and governance stakeholders. Preferred Exposure to financial data, analytics systems and enterprise-scale data workflows. Familiarity with BI tools, metrics stores, distributed tracing and monitoring stacks. Understanding of cloud infrastructure, serverless runtimes, API gateways ...

ingestion frameworks utilizing Fluentd, Logstash, and OpenTelemetry Collector pipelines, etc.* Help customers navigate complex log-routing scenarios, ensuring high-value data is prioritized for analytics while low-value data is archived cost-effectively.**Consumption Advocacy:*** Identify "consumption bottlenecks" within existing accounts and proactively provide technical guidance to unlock more ...

Strong analytical and problem-solving skills Candidates should have at least three of the following skills Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions Experience with large scale data sets with structured or unstructured data Experience in building user facing applications ...