751 to 775 of 6,205 Permanent Analytics Jobs

developing and delivering Plans of Action and Milestones (POAMs). Contribute to Program Objective Memorandum (POM) planning activities. Investigate existing systems and technologies and document data sources, technologies, and analytics products within the DTRA directorates. Lead and coordinate pilot projects or Proof of Concepts (POCs) involving data and AI initiatives. Provide support to various business process improvement efforts throughout the … with, and experience using, Data Management life cycle and associated tools such as, Databricks, BI tools (Qlik, Tableau, Power BI, MicroStrategy, etc.). Familiarity with, and experience using, advanced analytics, machine Learning (ML) and Artificial Intelligence (AI) techniques and technologies. Familiarity with, and experience us Familiarity with, and experience establishing and operating, data and AI governance. Ability to work collaboratively More ❯

IVR scripts, queues, skills, and user profiles in Genesys Cloud. Ensure high availability, performance, and security of contact center platforms. Implement and support workforce management, quality monitoring, and speech analytics using all available environments. Troubleshoot and resolve complex issues across Genesys, Cisco, and Verint platforms. Monitor system performance and generate reports using CUIC, Genesys Analytics, and Verint dashboards. Participate in More ❯

gather requirements and deliver actionable insights. Optimize report performance and ensure data accuracy. Support ad-hoc reporting and data analysis requests. Required Skills: 10+ years of experience in data analytics andBI reporting. Advanced proficiency in Power BI, DAX, Power Query, and SQL. Strong understanding of data warehousing, data modeling, and ETL concepts. Experience working with large data sets and optimizing More ❯

publish the data which is the backbone of our iconic Bloomberg Terminal the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology quickly and accurately. The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with … testing, clustering, and regression analysis Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions Build statistical More ❯

and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO We Are: Accenture Strategy. Through deep industry expertise, analytics and insights, we empower clients to survive and thrive in the new, the now and the unknown. To stay agile in a world dominated by change, the C-suite must … A Strategy Consulting Manager with significant experience in the energy or finance industry and a focus on investment and trading. Your expertise? Using state-of-the-art quantitative analysis, analytics, and risk management techniques to help clients achieve their investment, trading, and risk management strategies. You have energy and drive in abundance, along with personal resilience, a passion for serving … boost growth. • Develop integrated strategies that leverage data science to drive decision-making in investment, trading, and other deeply quantitative domains, aligning with our clients' business objectives. • Utilize advanced analytics, machine learning, and predictive modeling to interpret market signals and forecast trends, providing clients with a competitive edge. • Strengthen relationships with clients to sustain Accenture's profile as a long More ❯

closely with our Data Lead to implement a cutting-edge Business Intelligence (BI) platform. This is your chance to make a significant impact on our company's reporting and analytics capabilities! About the Role As a Data Engineer, you will play a crucial role in transforming our organisation into a data-driven enterprise. Your primary responsibilities will include data ingestion … you a fantastic team player who prioritises tasks to get things done efficiently. Your focus is all about driving positive change and making a real impact in the data analytics space! What's in it for you? You'll be a key team player in one of the largest water retailers in the UK, with lots of benefits and the More ❯

and assets safe from threat. The CSO's Security Data Services lab does this by using data to build security insights by working collaboratively with our Data Management and Analytics teams. This is an exciting opportunity for a Senior Data Engineer to join the Security Data Services lab to collaborate with the Data Operations, Software Engineers, Data Scientists, and Business … designing and building scalable data pipelines and ETL/ELT workflows using modern data engineering best practices. Strong understanding of data modelling principles and experience designing data architectures for analytics and operational workloads. Deep familiarity with Google Cloud Platform (GCP) services including BigQuery, Cloud Storage and Dataflow. Demonstrated experience in leading large-scale data migrations to cloud-based data platforms. More ❯

teams own, process, query, and manage their data with efficiency and ease. You will work closely with people from a wide variety of domains, as well as our Insights, Analytics Engineers, Data Scientists, MLOps, MarTech and other Data Engineering teams. You will help manage our growing data needs and support increasingly complex business problems by building and promoting self-service … with data efficiently and securely, using modern tooling such as Terraform, Docker, and cloud-native patterns Lead Technological Initiatives : Lead initiatives working with end users: data scientists, ML engineers, analytics engineers, product engineers and beyond to enable, support and accelerate their data needs, embracing a platform as product attitude. Uphold operational excellence: Automating infrastructure and monitoring, leading incident response and … but also for data owners Proven experience designing, building, and scaling data platforms and backend infrastructure in production environments - have worked to enable advanced data users: ML Engineers, analysts, analytics engineers and have a strong grasp of their needs and how they operate Big data technologies, with expertise in tools & platforms such as Airflow, dbt, Kafka, Databricks and data observability More ❯

and assets safe from threat. The CSO's Security Data Services lab does this by using data to build security insights by working collaboratively with our Data Management and Analytics teams. This is an exciting opportunity for a Senior Data Engineer to join the Security Data Services lab to collaborate with the Data Operations, Software Engineers, Data Scientists, and Business … designing and building scalable data pipelines and ETL/ELT workflows using modern data engineering best practices. Strong understanding of data modelling principles and experience designing data architectures for analytics and operational workloads. Deep familiarity with Google Cloud Platform (GCP) services including BigQuery, Cloud Storage and Dataflow. Demonstrated experience in leading large-scale data migrations to cloud-based data platforms. More ❯

and assets safe from threat. The CSO's Security Data Services lab does this by using data to build security insights by working collaboratively with our Data Management and Analytics teams. This is an exciting opportunity for a Senior Data Engineer to join the Security Data Services lab to collaborate with the Data Operations, Software Engineers, Data Scientists, and Business … designing and building scalable data pipelines and ETL/ELT workflows using modern data engineering best practices. Strong understanding of data modelling principles and experience designing data architectures for analytics and operational workloads. Deep familiarity with Google Cloud Platform (GCP) services including BigQuery, Cloud Storage and Dataflow. Demonstrated experience in leading large-scale data migrations to cloud-based data platforms. More ❯

and assets safe from threat. The CSO's Security Data Services lab does this by using data to build security insights by working collaboratively with our Data Management and Analytics teams. This is an exciting opportunity for a Senior Data Engineer to join the Security Data Services lab to collaborate with the Data Operations, Software Engineers, Data Scientists, and Business … designing and building scalable data pipelines and ETL/ELT workflows using modern data engineering best practices. Strong understanding of data modelling principles and experience designing data architectures for analytics and operational workloads. Deep familiarity with Google Cloud Platform (GCP) services including BigQuery, Cloud Storage and Dataflow. Demonstrated experience in leading large-scale data migrations to cloud-based data platforms. More ❯

SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness to take ownership of analytics projects and be the engine driving them from ideation phase till bringing out the product to customers, and beyond. What will make you stand out: Experience working in an analytics More ❯

want to be part of this our success and help drive our limitless ambitions. About the role We are seeking a talented Lead Business Intelligence Analyst to join our Analytics team within the Data department. This role will have line management responsibilities, and will be responsible for leading the delivery of Business Intelligence across the company. The successful candidate will … play a pivotal role in ensuring that we have the right data, visualisations, insights, and analytics to support the growth of our business. As Lead BI Analyst you will Lead the development and delivery of our Business Intelligence strategy Develop and maintain key BI metrics, dashboards and reports that provide insights across Digital, Finance, Commercial, Supply Chain and other core More ❯

implement advanced machine learning models to solve complex business problems. Optimise the performance of existing models and address weaknesses through detailed analysis. Collaborate with cross-functional teams to integrate analytics solutions into business operations. Analyse large datasets to uncover patterns, trends, and insights that drive strategic decisions. Assist API integrations to ensure seamless functionality and data flow between systems. Communicate … implement advanced machine learning models to solve complex business problems. Optimise the performance of existing models and address weaknesses through detailed analysis. Collaborate with cross-functional teams to integrate analytics solutions into business operations. Analyse large datasets to uncover patterns, trends, and insights that drive strategic decisions. Assist API integrations to ensure seamless functionality and data flow between systems. Communicate More ❯

architecture, data modelling methodologies, and ideally in real-time data integrations. The successful candidate will collaborate with cross-functional teams to ensure optimal data structures that support business intelligence, analytics, and operational requirements. This role is creating, assuring, and overseeing the implementation of data models within analytical and real-time streaming domains. What you'll be doing: Develop conceptual, logical … and physical data models to support data analytics, streaming and data products implementation. Define and maintain data architecture standards, principles, and best practices. Ensure data models are aligned with business requirements and scalable for future needs. Work closely with business stakeholders, data engineers, data solution architects, and data product teams to gather requirements and design solutions. Provide guidance on data More ❯

operational support solutions (alerts, dashboards, runbooks, etc.) Experience working with Azure DevOps and CI/CD pipeline. Experience working with APIs, Postman/SOAPUI tools, MS D365, ServiceNow, Azure Analytics tools, Azure Data lake, Azure Synapse, Azure BYOD & Data verse, Informatica, BI tools, etc. is a big plus. General business skills: Clear communication to translate and explain business requirements to … of an Integration team that is accountable for technical deliveries of integration projects and system enhancements, and production support services. The candidate is expected to work closely with applications, analytics, infrastructure, security, and compliance, PMO, QA, and system analysis teams. The candidate must be a strong analytical problem solver and creative thinker with the ability to ask the right questions More ❯

findings into actionable recommendations. Partner with data engineers and developers to build reliable data foundations - from defining tracking requirements and implementing instrumentation to maintaining data quality and establishing scalable analytics processes. Create compelling narratives through clear and impactful presentations that drive alignment across teams and influence product strategy through data-backed storytelling. Your skills and experience 5+ years of proven … experience in product analytics, with a strong track record of driving decisions in product-led growth environments. Bachelor's or Master's degree in a quantitative field (Statistics, Economics, Computer Science, or similar) Experience working on a B2B product is a plus. Proven experience defining and implementing PLG metrics frameworks, from user acquisition through expansion. Excellent problem-solving skills, with More ❯

manage secure infrastructure across Azure and GCP Use Infrastructure as Code (Terraform) to implement and maintain security controls Automate security processes with scripting and APIs Use native tools and analytics to improve cloud & data security posture Collaborate across teams to deliver secure, scalable, and compliant solutions Creating and tuning DLP/Cyber policies for endpoints, email, cloud apps, and network … Code principles API integration (e.g., Microsoft Graph API) IN ADDITION, THE BELOW WOULD BE NICE TO HAVE (DEPENDING ON THE TEAM) Lab 1: Cloud Enterprise and Computer Security Data & Analytics (KQL/SQL or BigQuery for GCP) Kubernetes (K8s) Power Platform and PowerShell Lab 2: Security Operations SIEM management Advanced logging Cyber Defence Centre tooling DLP technical policy development Ability More ❯

Evidence of continuing professional and personal development. Desirable UKCHIP registration. BCS Membership. Qualification in advanced IT Use (e.g. MCSA, MCSE, Microsoft Certified Professional. Formal Management qualification. Qualification in data analytics, coding or related discipline. Formal training/qualification in service improvement (i.e. Lean, MCA, FCA, 6?) Skills & Knowledge Essential Possess in depth specialist knowledge of IT process and procedures in … IT systems in an NHS Laboratory environment. Experience of working with Pathology related systems such as NpEX/Labgnostic, ICE, JMIS Experience of tools and processes related to data analytics such as SQL/Python/PowerBI etc. Experience of managing teams through periods of change. Involvement in conducting high value procurement exercises. Disclosure and Barring Service Check This post More ❯

and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You'll be skilled … is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Skilled in application of More ❯

and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You'll be skilled … is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Skilled in application of More ❯

The role is based in our Edinburgh hub. What You'll Do Research Strategy: Quantitative Research: A quantitative methods expert, you will deliver surveys, A/B testing, and analytics to gather data on user behaviour and experience . Experience with tools such as Qualtrics, Pendo, Tableau, Chorus.ai and Salesforce preferred. Qualitative User Research : An expert in user and customer … and security-focused companies or technology/fin-tech products. Technical Skills: Proficient in user research software, insight repositories, and data analysis tools such as Qualtrics, Miro, Pendo, Google Analytics, Condens , Tableau, RallyUXR , and Salesforce. Cybersecurity Knowledge: Understanding of cybersecurity principles and practices. Qualitative and Quantitative Methods: Skilled in conducting and analysing user interviews, surveys, usability tests, and contextual inquiries. More ❯

and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You'll be skilled … is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Skilled in application of More ❯

product mindset, technical depth in content systems and data-driven platforms, and a passion for solving visibility and discovery challenges. You will collaborate closely with partners in Engineering, ML, Analytics, UX, and SEO Strategy to deliver search-centric solutions at scale. In this role, you will: Craft and articulate a compelling SEO product vision that aligns with business goals and … search engine behavior. Proven ability to build test-and-learn programs, with strong experiment design and data interpretation skills. Familiarity with tools such as Tableau, SQL, Querybook, and other analytics platforms to guide product insights and decision-making. Experience working with engineering, data, content, and UX teams to deliver impactful, performant SEO products. Strong communication and stakeholder management skills, with More ❯

an experienced Data Engineer to join their Technology team on an 18-month fixed-term contract. You'll play a key role in building and optimising data pipelines, enabling analytics and AI, and integrating enterprise systems like CRM, HR, and Finance. Key Responsibilities Design and develop scalable data pipelines using Azure Data Factory, dbt, and Synapse Build enriched datasets for More ❯