651 to 675 of 5,959 Analytics Jobs in London

data for Finance and Compliance. Dbt: Build privacy-first data pipelines using dbt and Snowflake Dynamic Tables to safely expose sensitive data for downstream analytics and reporting. Data Quality: Build testing and monitoring for ingestion and transformation logic to catch issues before they reach the business or the Analytics Engineering … team. Stakeholder Collaboration: Partner with the wider Engineering team and Analytics Engineering team as a downstream consumer, to ensure pipelines deliver accurate, audit-ready data. Requirements We'd love it if you have AWS & Event-Driven Architecture: Hands-on experience with streaming/event ingestion (Kinesis, EventBridge or equivalents ...

data integrity across HR systems Develop and implement data validation, reconciliation and quality controls Support compliance with GDPR and internal data governance requirements Reporting & Analytics - Produce and maintain Workday reports, dashboards and analytics for HR, Reward, Payroll, Finance and senior leadership Support regulatory and statutory reporting requirements Reward, Payroll … data quality Ability to manage multiple priorities and stakeholders Strong written and verbal communication skills Desirable Experience with Workday Compensation, Advanced Reporting, Prism Analytics or Extend Experience supporting payroll and reward processes Knowledge of HR data governance and GDPR requirements Experience with HR system implementations or transformation programmes Familiarity with ...

high-quality coordination across stakeholders through effective tracking, reporting, and organisation. The analyst will support initiatives spanning financial processes, systems, data platforms, reporting, and analytics, ensuring alignment between business, finance, and technology teams. Key ResponsibilitiesSupport the PMO Manager in the mobilisation and ongoing operation of the programme management office within … those related to financial controls, data remediation, and reporting outputs. Planning & Delivery SupportAssist in maintaining integrated programme plans across finance transformation, data migration, and analytics workstreams. Support progress tracking, highlighting delays or risks related to financial reporting cycles, data availability, or system dependencies. Ensure alignment between plans, RAID logs ...

role supports the Head of Reward in designing, analysing, and delivering reward programmes that attract, motivate, and retain top talent. The role combines advanced analytics, strong systems capability, and a continuous improvement mindset to modernise reward processes and enhance the employee experience. What you will do: Reward Operations and Analytics … skills. Hands‐on experience with Workday (reporting and reward modules). Ability to manage and interpret large datasets. Demonstrated ability to use data and analytics to shape recommendations, drive decision‐making, influence stakeholders, improve the employee experience and continuously improve HR services and outcomes. Strong process mindset with a focus ...

requires a hands-on, analytically minded systems professional with strong Finance domain knowledge and proven experience across Finance systems, including ERP, subledgers, EPM and analytics platforms. The role works closely with Finance stakeholders to understand business needs, translate them into system requirements, and ensure that Finance products and processes remain … Technology organisation. Product & Finance Systems Responsibilities Deliver the Finance product strategy and contribute to the long-term roadmap for Finance systems (ERP, subledgers, EPM, analytics). Conduct end-to-end analysis of Finance processes to identify opportunities for improvement, optimisation, and transformation. Assess existing Finance systems and data flows, identifying ...

About Sigmoid Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep … expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. The below role is for our Bengaluru office. Job Description: Business Consulting Services ...

finance, and data engineering teams to influence high‐level business performance, lead reserving and profit‐share calculations, and deliver direct commercial impact. Unlike traditional analytics roles that operate in technical silos, this position offers direct commercial visibility and strategic influence across our business. You’ll modernise our underwriting technology alongside … complex analytical findings into clear, actionable recommendations while coaching and developing junior colleagues. We’re Looking For Someone Who Is: Experienced in insurance data analytics with a solid understanding of underwriting metrics. Highly proficient with SQL, Excel, and data visualisation tools such as Tableau or Power BI. Able to manipulate ...

budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality … information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science ...

looking for a data-driven Data Analyst specializing in LTV (Lifetime Value) & Subscriptions to join our London team. You will support all analytics related to our subscription products and user lifecycle. In this role, you will dive deep into subscriber behavior and churn patterns, develop models to project customer lifetime … action. Requirements What You Have You have 5+ years of experience in data analysis or data science, with a focus on user lifecycle, customer analytics, or subscription metrics. You bring advanced SQL skills and are comfortable querying and manipulating large datasets in a cloud data warehouse environment. You have experience ...

index operations and analytics. This role acts as a key point of coordination between data operations, technology, index management, analytics, and vendor teams. You will support the onboarding of new datasets, help define data requirements, monitor data quality, investigate issues, and contribute to improvements in ESG data processes and controls. … sustainability-related data. Apply data standards, taxonomies, and governance controls to help maintain a consistent and trusted version of ESG data across index and analytics workflows. Design, run, and improve data quality checks to identify gaps, inconsistencies, outliers, and other data issues. Investigate and resolve data quality issues in collaboration ...

spanning primary care, hospitals, mental health, community and social care for our population, a rich asset to model from. We've recently migrated our analytics platform to Snowflake, so you'll be shaping a modern, cloud-native stack from an early stage. As an experienced technical leader and researcher … contribute to high-level architectural decisions and identify development opportunities for yourself and those around you and adopt innovative practices learned from the wider analytics community Matrix management and coaching of senior data scientists to deliver advanced models and productionise tool. About us Who we are We are NHS West ...

ongoing reporting support, resolving data issues and collaborating with stakeholders to enhance datasets and reporting capabilities Qualifications 3–5 years of experience in commercial analytics, BI, or analytics engineering Strong end‐to‐end data skillset, from SQL‐based modelling to Power BI report delivery Proactive, independent problem solver with ...

/community events. As a Domain Expert for Data & AI Strategy in the Data & AI Consulting Practice , you will help Methods’ clients use data, analytics and AI to improve business outcomes, public services, operational performance, regulatory confidence and organisational capability. You will act as a trusted advisor to senior stakeholders … Facilitate senior stakeholder workshops with executives, boards, SROs, CDOs, CIOs, CTOs, transformation directors, operational leaders and service owners. Assess organisational maturity across data, AI, analytics, governance, technology, operating model, people, process, adoption and value realisation. Identify, assess and prioritise Data & AI use cases across operational efficiency, service improvement, decision support ...

quality, and team morale. Manage relationships with key stakeholders, including business heads, product owners, and infrastructure teams, to ensure alignment and transparency. Data Enablement & Analytics Develop and implement a robust data strategy to unlock the value of our securities finance data. Architect and build data pipelines, data lakes, and analytical … programming languages (e.g., Java), database technologies (Oracle, MSSQL), and messaging systems (e.g., Kafka). Expertise in building and scaling data‐intensive applications and data analytics platforms. Leadership & Management Exceptional leadership and communication skills, with the ability to influence and inspire teams and stakeholders at all levels. Strategic thinker with ...

science across R&D. The role leads clinical data scientists and AI-programming experts across statistical programming, clinical data, data engineering, ML, LLM-enabled analytics and application development, partnering across R&D, IT, Digital/Data/Analytics/AI and external providers to turn high-value use cases into … control, model monitoring, lifecycle management and user training. Partner with Statistical Programming, Biostatistics, Statistical Innovation, Clinical Development, Data Management, IT, Digital/Data/Analytics/AI and external providers to turn high-value use cases into governed, scalable solutions. Evaluate external tools, vendors and platforms, making clear buy-versus ...

data lives primarily in CockroachDB, with a modern data platform built around BigQuery, dbt, Airflow and pub/sub. Data flows both ways: into analytics and modelling, and back into the products our customers use. That culture translates into a flat hierarchy with a high degree of autonomy, where engineers … including CDC or event-driven data pipelines. Knowledge of data visualisation preferably Tableau or Metabase. Experience making data safely self-service through internal tooling, analytics platforms or LLM-powered interfaces. Experience supporting product analytics or building data-powered product features. Benefits 25 days holiday plus bank holidays; 3 days winter ...

This is an excellent opportunity for someone who enjoys combining technical excellence with stakeholder engagement, leadership and continuous improvement. Minimum Criteria Significant experience in analytics, working with large and complex datasets and using a range of analytical and AI technologies, such as SQL, Python, Tableau, R, Excel, GitHub Copilot … findings clearly to technical and non-technical audiences, influence decision-making and improve data literacy across the organisation. Demonstrated ability to use data and analytics to drive impact, influence decision making and identify opportunities to improve organisational performance. You can view the full job description on our website. ...

sustainability-related data. Apply data standards, taxonomies, and governance controls to help maintain a consistent and trusted version of ESG data across index and analytics workflows. Design, run, and improve data quality checks to identify gaps, inconsistencies, outliers, and other data issues. Investigate and resolve data quality issues in collaboration … focus on ESG and sustainability data. Exposure to ESG datasets used across equity and fixed income indices. Opportunity to work with data management, index, analytics, sustainability, technology, and operations teams. Development of practical skills in data quality, data governance, validation, documentation, and pipeline support. Access to data management tools, analytical ...

multiple technologies and applications. The Execution Services Technology department is looking for a DevOps team member who can support the latency Electronic Trading, Data Analytics and Quant environments. The role will be based in London, and will entail both working closely with the London Business and our Global partners … Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. DevOps engineering/Equities Algo Stack/Data & Analytics and AWS Engineering #J-18808-Ljbffr ...

Assets, Client, Corporate and Operations and Wealth Management. This includes a broad range of data applications from Reference Data Masters, Operational Data Stores to Analytics and AI applications We need a business analyst who also knows their way around a database, who understands the business use of data, the importance … governance and standards, balanced against constant demand for delivery. They must have detailed knowledge of CRM systems, Client Lifecycle and data and analytics associated with these processes. About Schroders Schroders is a global investment manager which provides active asset management, wealth management and investment solutions. We aim to provide excellent ...

automation to increase revenue impact and reduce manual execution friction Key Responsibilities: Enable AI-Driven Execution: Identify and apply AI, automation, and advanced analytics opportunities to reduce manual effort across key functions, including: Lead revenue planning and modelling by building bottom-up plans, capacity models, quota frameworks, and scenario analyses … align resources to market opportunity, identify gaps and overlaps, and support evolving GTM strategy. Operationalize GTM Strategy: Partner cross-functionally across Sales, Finance, Analytics, Marketing and Global RevOps, to operationalize strategy ensuring consistent execution of regional priorities, rules of engagement, and policies. Improve revenue execution through process design and automation ...

Development: Strong hands‐on experience in ETL development, data transformation, and end-to-end pipeline workflows (ingestion → processing → consumption) including structured dataset creation and analytics outputs. SQL, Data Modelling & Data Warehousing: Solid database and querying skills with expertise in SQL, joins, and large-scale data modelling for warehouse-style analytics ...

interface failures or data discrepancies. Administer inbound and outbound file-based integrations (SFTP, CSV, XML, JSON) where API connectivity is not available. Reporting & Analytics Write and maintain SQL queries against HR system databases to extract, validate, and manipulate people data in support of operational and analytical reporting requirements. Build … scheduled report distributions to meet the needs of HR, Payroll, Finance, and senior stakeholders. Support the firm's transition towards a more mature people analytics capability, including contributing to the development of Power BI dashboards and datasets connected to HRIS data. Work alongside Technology and data teams to support ...

CIMA, or equivalent) is mandatory. You must have a solid understanding of core accounting principles, month‐end close procedures, and financial controls. Data Analytics & BI Skills: Proficiency in working with large, complex datasets is essential. Experience with data analytics tools is highly advantageous , particularly: SQL for data querying and manipulation. ...

framework, ensuring sensitive data is properly protected and that data can be traced end to end through its lifecycle. You will work closely with Analytics, Data Science, Software Engineering, and IT/Infrastructure to maintain an accurate, efficient, and compliant data environment — and will communicate confidently with stakeholders across … adoption decisionsSupport platform evolution, including re-architecture and migration activitiesCollaboration & CommunicationSupport other Data Engineers by sharing best practices and technical approachesCollaborate closely with Analytics & Data Insights, Software Engineering, and IT/InfrastructurePresent technical work and recommendations to a range of audiences, including company-wide forumsBuild strong working relationships with business ...