51 to 75 of 4,189 Remote/Hybrid Analytics Jobs

critical enabler of data-driven decision-making across Columbia Threadneedle Investments EMEA, based in London. The position reports to the Vice President of Columbia Analytics and EDAI AI Strategy and is a senior individual contributor role requiring expertise in Asset Management or Financial Services.This role is specifically intended … experienced analytics professional who has operated within an investment management or broader financial services environment and understands the data, decision-making processes, and regulatory context of the industry. Significant experience partnering with senior stakeholders in Asset Management, Investments, Distribution, Product, Client, and other related functions is essential.The individual acts ...

Technology teams to design and implement automated solutions, streamline control execution, enhance reporting capabilities, and strengthen governance oversight. The individual will leverage data analytics and technology solutions to improve the effectiveness, efficiency, and transparency of the MCA program while ensuring compliance with Citi's Policies, Standards, and regulatory expectations. … Control owners, risk, and technology stakeholders to identify automation opportunities and deliver scalable solutions that reduce manual effort and improve data quality. Utilize data analytics to identify trends, exceptions, control weaknesses, and emerging risks within the MCA framework. Support the transformation and optimization of MCA processes through workflow automation, reporting ...

summaryWe are looking for a Senior Advanced Analyst to help shape how Essex ICB uses advanced analytics, evaluation and population health intelligence to support strategic commissioning, prevention, transformation and resource allocation.This is a senior specialist role focused on understanding the drivers of demand, outcomes, variation, inequalities and cost across … analytical methods to complex system questions and translate findings into clear intelligence that supports senior decision making.The role will work closely with colleagues across analytics, BI, data engineering, information governance, commissioning and system partners, while focusing on advanced analysis, evidence generation and evaluation rather than routine reporting or dashboard development.Main ...

summary We are looking for a Senior Advanced Analyst to help shape how Essex ICB uses advanced analytics, evaluation and population health intelligence to support strategic commissioning, prevention, transformation and resource allocation. This is a senior specialist role focused on understanding the drivers of demand, outcomes, variation, inequalities and cost … methods to complex system questions and translate findings into clear intelligence that supports senior decision making. The role will work closely with colleagues across analytics, BI, data engineering, information governance, commissioning and system partners, while focusing on advanced analysis, evidence generation and evaluation rather than routine reporting or dashboard development. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Science and Analytics Lead Our client are a leading user-generated video marketplace, helping creators monetise their content while supplying video to publishers, broadcasters, brands and digital platforms worldwide. As demand for high-quality AI training data accelerates, they're uniquely positioned to turn their extensive video library into … they need someone who can get more value out of the data they already hold. This is a hands-on role. There is no analytics team to hand work off to, you are the data function. You'll take a business question, find the relevant data, run the analysis, build ...

partners. We have a clear purpose and a shared commitment to shape a better future. About The Team As part of Audit Transformation, data analytics services allow the development of bespoke analytics solutions tailored to our clients and standardised solutions/end-user tools to allow delivery at scale across … efficiency of audit engagements. We utilise an agile delivery model, enabling our teams to be involved in different and varied projects and audit analytics delivery including bespoke and standardised data analytics, governance, advanced (AI-ML) analytics, end-user tools development and support, as well as robotic process automation (RPA) services. ...