451 to 475 of 12,934 Analytics Jobs

deliver 140 million police checks on people, vehicles and property. Senior Data Engineers design and implement complex data flows to connect operational systems with analytics and BI systems. You’ll build and manage data flows, collaborating with the Data Science community and Product Owners to identify strategies and services … Office manage significant public cloud expenditure effectively.Senior Data Engineers design and lead the implementation of complex data flows to connect operational systems, data for analytics and BI systems.As a Senior Data Engineer, you will identify, build, modify and manage data flows between complex systems using the appropriate solution.You will ...

this role offers significant exposure across the business and the opportunity to make a tangible impact on organisational performance. Key Responsibilities: Commercial Reporting and Analytics Support the development, maintenance, and enhancement of Power BI dashboards and reports Produce and analyse commercial performance reporting covering: Leads, Quotes, Opportunities, Revenue, Invoice performance ...

maintain scalable data pipelines and processing workflows using Python, PySpark, SQL, and Databricks on AWS, processing and transforming large-scale financial datasets for analytics and reporting. Develop fact and dimension data models for reporting and analytics. Write secure, high-quality production code, and review and debug code written by others. ...

product teams, and engineers, the Tech Lead will translate complex business requirements into scalable, high-performance data solutions that support critical business operations and analytics capabilities. This role requires deep hands-on expertise in Azure Databricks, Structured Streaming, Delta Live Tables (DLT), PySpark, Python, and SQL, alongside strong stakeholder management ...

Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers, and Analysts Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native ...

Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers, and Analysts Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native ...

risk within the organisation, leveraging data to highlight areas for improvement and efficiency.Growth and Innovation: Experiment with cutting-edge technology and methodologies in data analytics and engineering, pushing boundaries in various domains.Supportive Environment: Enjoy a healthy balance of independence and collaboration, backed by a team of dedicated experts across domains ...

maintain robust, scalable, and reliable ETL/ELT data pipelines . Develop data models and schemas in our data warehouse to support business analytics and reporting needs. Integrate data from a variety of sources, including third-party APIs, internal databases, and streaming platforms. Implement processes and systems to monitor data ...

maintain Azure-based data pipelines and ETL solutions. Work with Azure Data Factory, Databricks, Synapse, and Data Lake to support data integration, migration, and analytics requirements. Collaborate with stakeholders to understand business needs, troubleshoot data issues, and ensure secure, scalable, and reliable data solutions. Your responsibilities Design, develop and implement ...

tools such as Azure DevOps or Jira. Professional certifications in Business Analysis, Project Management, or Microsoft Dynamics 365. Working knowledge of reporting and analytics tools such as Power BI and SQL. Key Attributes Highly organised, with the ability to manage multiple priorities in a dynamic environment. Pragmatic and outcomes‐focused ...

risks and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including - but not limited to - analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Harvesting and ingesting structured and unstructured data in different formats and standards Integrating ...

Governance & SecurityBusiness Relationships• Solution Architects• Data Engineers, Developers, ML Engineers, and Analysts• Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadershipTo thrive in this role, you need to have:Key Competencies• Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms. ...

Governance & SecurityBusiness Relationships• Solution Architects• Data Engineers, Developers, ML Engineers, and Analysts• Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadershipTo thrive in this role, you need to have:Key Competencies• Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms. ...

Engineering, Data Warehouse and Data Integration workloads. Create and enhance analytical data models that provide the foundation for Power BI reporting and self-service analytics across the business. Establish engineering standards, coding practices and documentation that improve consistency, quality and knowledge sharing across the team. Coach and mentor Data Engineers ...

maintain scalable data pipelines and processing workflows using Python, PySpark, SQL, and Databricks on AWS, processing and transforming large-scale financial datasets for analytics and reporting.Develop fact and dimension data models for reporting and analytics.Write secure, high-quality production code, and review and debug code written by others.Ensure data quality ...

capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Data & Analytics Engineering position at Director level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making ...

Engineering, Data Warehouse and Data Integration workloads. Create and enhance analytical data models that provide the foundation for Power BI reporting and self-service analytics across the business. Establish engineering standards, coding practices and documentation that improve consistency, quality and knowledge sharing across the team. Coach and mentor Data Engineers ...

maintain scalable data pipelines and processing workflows using Python, PySpark, SQL, and Databricks on AWS, processing and transforming large-scale financial datasets for analytics and reporting. Develop fact and dimension data models for reporting and analytics. Write secure, high-quality production code, and review and debug code written by others. ...

product release processes and operational support Experience operationalising analytical workflows such as differential expression, gene set/pathway enrichment, single-cell analysis, CRISPR screen analytics, GWAS harmonisation, fine-mapping, colocalisation, etc. Demonstrated hands‐on expertise in data modelling, scientific metadata design, lineage, quality controls and efficient fit-for-purpose biological ...

enhance modern cloud-based data platforms using AWS and Azure technologies Gain hands-on experience with a wide range of data engineering, integration and analytics challenges Collaborate with experienced engineers, architects and data specialists in supportive, multidisciplinary teams Develop expertise across cloud-native data services, PySpark, SQL and modern engineering ...

Intelligence reporting packages, preferably PowerBI Experience teaching non-technical users how to user PowerBI Experience project management tools such as Azure DevOps Interest in analytics, data architecture and modelling. Experience of enterprise software, Azure Cloud apps, databases, data models. Understanding of Business Intelligence services and data integration processes (ETL) Role ...

delivering end-to-end data platforms in enterprise settings.Expertise in conceptual, logical, and physical data modelling.Deep understanding of data platforms, data integration, and analytics architectures.Ability to design solutions that meet both functional and non-functional requirements, including performance, scalability, security, and compliance.Broad experience with data governance, data quality, master data ...

data platforms in enterprise settings. Expertise in conceptual, logical, and physical data modelling. Deep understanding of data platforms, data integration, and analytics architectures. Ability to design solutions that meet both functional and non-functional requirements, including performance, scalability, security, and compliance. Broad experience with data governance, data quality, master data ...

data platforms in enterprise settings. Expertise in conceptual, logical, and physical data modelling. Deep understanding of data platforms, data integration, and analytics architectures. Ability to design solutions that meet both functional and non-functional requirements, including performance, scalability, security, and compliance. Broad experience with data governance, data quality, master data ...

have an opportunity for a Data Analyst/Scientist or Senior Data Analyst/Scientist to play a key role in using data, analytics, statistical methods and data science to generate insight, support decision-making and improve our engineering services. This is a broad analytical role. You will work across ...