126 to 150 of 12,951 Analytics Jobs

combines strong software engineering fundamentals with hands-on experience working with large and complex datasets. You will leverage modern data platforms, cloud technologies, and analytics tools to build scalable applications, data pipelines, and dashboards that drive informed business decisions and deliver value to customers.QualificationsKey ResponsibilitiesDesign, develop, and maintain enterprise applications … datasets from multiple data sources.Design and implement data models, ETL processes, and integrations that ensure data quality, reliability, and performance.Leverage modern data platforms and analytics solutions to generate actionable business insights and support organizational objectives.Write clean, maintainable, well-documented, and thoroughly tested code.Participate in code reviews and contribute to engineering ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

completeness.Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data.Develop and maintain scalable data pipelines to support analytics and operational decision-making.Implement data quality controls and prepare datasets for reporting and visualisation.Design and maintain data models to support analytical and operational requirements.Manage and optimise … optimise data workflows to improve performance, reliability, scalability, and cost efficiency.Evaluate emerging data technologies and identify opportunities to improve engineering capabilities.Contribute to data analytics and visualisation strategies.Present technical findings and recommendations to customers and stakeholders.Work collaboratively with technical and non-technical teams throughout the project lifecycle.About YouWe are looking ...

data pipelines, models, and architecture across our modern data stack (AWS, Snowflake, dbt) ensuring performance, reliability, and scalability. Working closely with Architecture, Data Analytics, and Salesforce teams, you will drive the evolution of our data platform, guide best practices, and play a key role in modernising legacy processes. You will … quality, consistency, and maintainability. Own data pipeline reliability, proactively monitoring, troubleshooting, and resolving complex data and performance issues with minimal disruption. Architect and evolve analytics‐ready data models (e.g., star schemas, data marts), balancing performance, flexibility, and usability. Collaborate with senior stakeholders (Analytics, Salesforce, Architecture) to define requirements and translate ...

heart of this initiative, helping to build the platform, frameworks and capabilities that will support everything from business insight and regulatory reporting to advanced analytics and AI. This is a rare opportunity to influence the design and direction of a modern data ecosystem from day one. Joining a collaborative … Salesforce, Sopra Banking Services, CACI and Experian. Engineer Modern Data Architectures - Design Lakehouse, Warehouse and Delta Lake solutions using medallion architectures to support enterprise analytics and reporting. Deliver Analytics-Ready Data Assets - Build trusted, well-modelled datasets and semantic models that enable self-service BI, regulatory reporting and data-driven ...

products while influencing how data is utilised across a leading international law firm.Why Join DAC Beachcroft Be part of a significant investment in data, analytics and AI capabilities.Play a key role in building and shaping a modern Microsoft Fabric data platform.Work with complex, high-value data sets across an international … Notebooks, Lakehouse and Warehouse components.Migrating existing on-premise and cloud-based data solutions into modern Fabric architectures. Developing and optimising data models to support analytics, reporting and business insight. Integrating data from multiple business systems, including finance, CRM and operational platforms.Building robust ELT/ETL processes that deliver high levels ...

with a strong focus on Snowflake. This role is critical in building and optimising modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients. As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure … PracticesQuality, Governance & Security Business Relationships: Solution ArchitectsData Engineers, Developers, ML Engineers and AnalystsClient stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership What experience you'll bring: Competencies/Critical Skills: Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.Strong consulting ...

order management, finance operations, customer services, centred around an ERP. You will identify opportunities to leverage artificial intelligence, robotic process automation (RPA), predictive analytics, and other digital accelerants to transform how we deliver 3PL services to our clients. You will translate complex business needs into actionable solutions, support delivery … Support change management activities — training, communications, and adoption tracking, to ensure sustainable implementation.* Facilitate cross-functional workshops, sprint reviews, and steering committee meetings.**Data & Analytics*** Build and maintain dashboards and reports (Power BI, Tableau) that provide actionable insights to operations and leadership.* Collaborate with data engineering teams to define data ...

with a strong focus on Snowflake. This role is critical in building and optimising modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients. As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure … PracticesQuality, Governance & Security Business Relationships: Solution ArchitectsData Engineers, Developers, ML Engineers and AnalystsClient stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership What experience you'll bring: Competencies/Critical Skills: Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.Strong consulting ...

order management, finance operations, customer services, centred around an ERP. You will identify opportunities to leverage artificial intelligence, robotic process automation (RPA), predictive analytics, and other digital accelerants to transform how we deliver 3PL services to our clients. You will translate complex business needs into actionable solutions, support delivery … Support change management activities — training, communications, and adoption tracking, to ensure sustainable implementation.* Facilitate cross-functional workshops, sprint reviews, and steering committee meetings.**Data & Analytics*** Build and maintain dashboards and reports (Power BI, Tableau) that provide actionable insights to operations and leadership.* Collaborate with data engineering teams to define data ...

lakehouses, warehouses, notebooks, dataflows, and semantic models Perform advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytics and reporting Manage and optimise data models used by Power BI, ensuring good performance, relationships, quality, and reusability Support enterprise BI development by preparing datasets … clients Proven experience of mentoring teams Experience of advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytics and reporting At Sword, our core values and culture are based on caring about our people, investing in training and career development, and building inclusive ...

delivery lifecycle and mentors others in the team.Experience working on large and complex projects, programmes and products spanning multiple geographical locations, ideally including data, analytics, AI, automation or digital product delivery.Proven experience of working with a wide range of business stakeholders including lawyers, Partners or heads of function.Technical knowledge … functional and non-functional requirements.Bring a practical understanding of data to discussions, including the ability to speak confidently with data engineers, data scientists and analytics teams.Support any third party selection processes by providing the business requirements.Run/support UAT by producing UAT scripts, running UAT sessions and capturing feedback.Support ...

lifecycle and mentors others in the team. Experience working on large and complex projects, programmes and products spanning multiple geographical locations, ideally including data, analytics, AI, automation or digital product delivery. Proven experience of working with a wide range of business stakeholders including lawyers, Partners or heads of function. Technical … functional requirements. Bring a practical understanding of data to discussions, including the ability to speak confidently with data engineers, data scientists and analytics teams. Support any third party selection processes by providing the business requirements. Run/support UAT by producing UAT scripts, running UAT sessions and capturing feedback. Support ...

effectively; Help shape the Innovation Team roadmap by prioritising strategic, repeatable platforms and solutions. Требования: 5+ Years of hands‐on experience in data engineering, analytics engineering or data platform roles, including senior or leadership‐level work Advanced SQL and Python skills for building reliable, production‐ready data solutions Strong experience ...

orchestration Microsoft Fabric experience, including Lakehouse, Data Factory, Warehouse and Spark Knowledge of Azure Data Platform services, including ADF, ADLS Gen2, Azure Synapse Analytics A strong background in Python and SQL development Proven experience building batch and streaming data pipelines Experience implementing Medallion Architecture and Lakehouse patterns Strong understanding ...

deployment automation. Experience with Databricks and/or Snowflake. THE OPPORTUNITY You will join a growing Data & AI Practice delivering modern Data, AI, Analytics and Cloud solutions across the public sector, with particular emphasis on Microsoft Fabric and the wider Microsoft ecosystem. The role offers hands‐on exposure to enterprise ...

Data Analytics Lead (Azure PowerBI SQL) Watford/WFH to £100k Do you have strong Data Analytics knowledge? Looking for an opportunity to take ownership and shape the data strategy of a growing company? You could be progressing your career in a senior, hands-on data transformation role; this … newly created, influential role with responsibility for data strategy, analytics, data platforms, automation and CRM, helping the firm use technology and AI to make better decisions, improve efficiency and support sustainable growth. As the Data Analytics Lead you'll initially learn about the business, audit the current data systems ...

Develop analytics engineering and reporting solutions that help business users access trusted insight and make informed decisions Work with business stakeholders, Product Owners, Business Analysts and other Data colleagues to understand information needs and translate them into clear, deliverable requirements Design, build and maintain semantic models, datasets and reporting solutions … Databricks Improve report and dataset performance by reviewing data models, DAX calculations, queries and refresh approaches Apply data validation, reconciliation and testing to ensure analytics outputs are accurate and reliable Document data sources, logic, refresh schedules, access requirements and support considerations Follow standards for modelling, naming, testing, deployment and version ...

Salesforce Application & Analytics Manager Contract: 12 months Location: Milton Keynes or London on a hybrid basis Rate: £546 per day inside IR35 Active SC is ideal but not necessary, must be eligible Job Purpose The Salesforce Application & Analytics Manager will be responsible for the strategic management, support, development, and continuous … improvement of the GMP Application and associated analytics capabilities. The role will ensure the effective operation of the Salesforce platform, delivery of the application roadmap, and development of high-quality reporting and analytics solutions across Salesforce and Microsoft Power BI/Fabric environments. Working closely with Information Asset Owners, technical ...

Salesforce Application & Analytics Manager Contract: 12 months Location: Milton Keynes or London on a hybrid basis Rate: £546 per day inside IR35 Active SC is ideal but not necessary, must be eligible Job Purpose The Salesforce Application & Analytics Manager will be responsible for the strategic management, support, development, and continuous … improvement of the GMP Application and associated analytics capabilities. The role will ensure the effective operation of the Salesforce platform, delivery of the application roadmap, and development of high-quality reporting and analytics solutions across Salesforce and Microsoft Power BI/Fabric environments. Working closely with Information Asset Owners, technical ...