1,101 to 1,125 of 7,441 Analytics Jobs

OpenEHR, OMOP) are designed for analytical, reporting and operational enablement use-cases. Demonstrable experience modelling data presented in FHIR, OpenEHR, DICOM, Claims, SDOH etc. in the data platform for analytics, reporting and supporting operational needs. Experience of modelling and mapping data into OMOP format. Good understanding of clinical terminologies and ontologies (e.g., SNOMED CT, LOINC, ICD-10/11). More ❯

with low-code platforms (e.g., SharePoint, Power Apps, Power Automate, Nintex). Experience or knowledge of DBA functions, performance tuning, and system administration is desirable. Relevant qualifications in data analytics or related disciplines. (Rullion is a recruitment agency) Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants. More ❯

with low-code platforms (e.g., SharePoint, Power Apps, Power Automate, Nintex). Experience or knowledge of DBA functions, performance tuning, and system administration is desirable. Relevant qualifications in data analytics or related disciplines. (Rullion is a recruitment agency) Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants. More ❯

team of Data Modellers and Business Analysts. Communicate strategy, vision, and progress to senior stakeholders. Your Profile 5+ years' experience in data product management. Strong grasp of data infrastructure, analytics, engineering, and machine learning. Proven track record of launching and scaling data products. Strategic thinker with tactical execution abilities. Skilled in agile methodologies and stakeholder engagement. Inspirational leader and mentor More ❯

experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder – with a strong sense of how to deliver real-world business outcomes. Is More ❯

experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with a strong sense of how to deliver real-world business outcomes. Is More ❯

experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with a strong sense of how to deliver real-world business outcomes. Is More ❯

experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder – with a strong sense of how to deliver real-world business outcomes. Is More ❯

Location: Reston, VA Clearance Requirement: TS w/SCI Eligibility Job Description and Responsibilities: Come join the future of data-driven decision making! At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world, critical mission problems. Data Machines is looking for a More ❯

and mentoring to promote capability growth. Understand and adapt to the needs of different stages in the product lifecycle, using appropriate performance metrics accordingly. Essential Experience Use of digital analytics platforms (e.g., GoogleAnalytics, Splunk, Datadog). Experience working in a GDS-aligned environment within a government setting. Development of service performance dashboards using tools such as Google Data Studio. Designing More ❯

and mentoring to promote capability growth. Understand and adapt to the needs of different stages in the product lifecycle, using appropriate performance metrics accordingly. Essential Experience Use of digital analytics platforms (e.g., GoogleAnalytics, Splunk, Datadog). Experience working in a GDS-aligned environment within a government setting. Development of service performance dashboards using tools such as Google Data Studio. Designing More ❯

BigBear.ai BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in Columbia, Maryland, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit More ❯

Intelligence to automate document classification processes Develop intelligent workflows leveraging AI Builder and hybrid logic frameworks Engineer low-maintenance pipelines capable of processing 200+ document formats Contribute to predictive analytics projects and data-driven decision-making Design API-first integrations with property management and financial platforms Interested!?! Please send your up to date CV to Dean Sadler-Parkes at Crimson More ❯

experience Location United Kingdom, Manchester Job Type Permanent Description Our client an established consultancy business based in Manchester are looking for a Senior Data Analyst to join their data analytics team. With steady growth this company offers a fantastic progression package, along with a perfect opportunity for an ambitious graduate. Responsibilities for the role are as follows: Drive best-in More ❯

data-driven insights on our fund’s risk profile. Responsibilities Work closely with quants, risk managers and other technologists in New York, Tel Aviv and Singapore to develop risk analytics solutions for our Fixed-Income business. Develop micro-services, data ingestion pipelines and APIs to feed tools and dashboards that monitor Millennium’s market risks. Analyse data with pandas/ More ❯

ensuring smooth data flow and optimal performance. UI Integration & Data Visualization: Develop intuitive dashboards and visualization tools using frameworks such as Streamlit or similar, to present AI outputs and analytics effectively to end-users. Cross-functional Collaboration: Work closely with data scientists, UI/UX designers, product managers, and other engineering teams to ensure seamless integration, data consistency, and overall More ❯

on data strategy, visualization best practices and performance optimization. In addition, you'll assist with data integration and ETL processes with the IT and data teams identifying opportunities for analytics-driven improvements across the business. You will support the design and implementation of BI solutions, including data models and visualisations as well as perform data cleansing, transformation, and validation. What More ❯

a similar data-focused role Advanced knowledge of Microsoft SQL Server, T-SQL, indexing, and query optimisation Experience with Azure SQL and related services (e.g. Azure Data Factory, Synapse Analytics is a plus) Strong understanding of data security and governance best practices Experience with SSRS, Power BI, or similar tools is advantageous Comfortable working in Agile, cross-functional teams Strong More ❯

developing complex Oracle and/or Snowflake SQL scripts that are fast and efficient. - Strong analytical and problem-solving skills with experience as a system analyst for a data analytics, performance management system, or data warehousing project. - Technical writing and diagraming skills, including proficiency with modeling and mapping tools (e.g., Visio, Erwin), and the Microsoft Office Suite (Word, Excel, and More ❯

a similar data-focused role Advanced knowledge of Microsoft SQL Server, T-SQL, indexing, and query optimisation Experience with Azure SQL and related services (e.g. Azure Data Factory, Synapse Analytics is a plus) Strong understanding of data security and governance best practices Experience with SSRS, Power BI, or similar tools is advantageous Comfortable working in Agile, cross-functional teams Strong More ❯

ensure high data quality, security, and regulatory compliance across our data ecosystem. You will collaborate with cross-functional teams to embed governance into our cloud-based data architecture and analytics processes. Key Responsibilities: Develop and implement enterprise-level data governance frameworks, standards, and operating models, aligned with business objectives and compliance requirements. Collaborate with data engineering and platform teams to More ❯

challenges, uncover opportunities, and propose future experiments related to availability and expirations reporting. Key requirements of Lead Data Scientist – Category Management: Ideally having 4-6 years of experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment More ❯

challenges, uncover opportunities, and propose future experiments related to availability and expirations reporting. Key requirements of Lead Data Scientist – Category Management: Ideally having 4-6 years of experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment More ❯

impact and are looking for someone who can not only crunch the numbers, but also tell the story behind them. The Role You’ll take the lead on key analytics initiatives, working end-to-end across data pipelines, visualisation, and stakeholder communication. It’s a hands-on role with plenty of variety — perfect for someone who enjoys making sense of More ❯

AI models into operational systems and federated architectures Support systems maintenance, upgrades, and lifecycle sustainment Cybersecurity & Risk Management Implement security controls and support Authority to Operate (ATO) Conduct cyber analytics and vulnerability assessments Manage cybersecurity risk across networks, tools, and data environments Engineer security into AI models and supporting systems Project Management Responsibilities Serve as the primary point of contact More ❯