12 of 12 Permanent Impact Analysis Jobs in London

will work with other specialists to produce high-quality work that meets the needs of users. Alongside this, you will play an active role in contributing to our Research & Analysis practice. Dimensions Key performance indicators for the role Individual utilisation - 90% Problem solving responsibility and complexity Low/medium Assisting in project delivery and holding practice-specific tasks independently … to handle limited ambiguity and adapt to changing situations with direction from more experienced colleagues. Internal/external interactions Support delivery and client relationships Contribute to practice growth (internal impact, sharing, blogging) Responsibilities Working as part of multidisciplinary teams embedding design research approaches into agile ways of working, delivering high quality work, and providing strategic support, balancing users needs … and planning research - adapting approaches depending on a clients organisation cultures, design maturity and appetite for change Communicating research and insights clearly, telling the story of our work and impact Supporting other specialists and client teams to promote design research best practice Fostering a culture of collaboration and continuous improvement Actively contributing to our Research & Analysis practice within More ❯

As a Deputy Head of Service for Performance & Quality you will: proactively analyse data from diverse sources, transforming it into powerful & useful insights for our service produce management information, impact analysis, service modelling & customer-focused performance tools monitor service performance & identify risks to support & enable data-driven decision-making & continuous improvement be a key member of a multi … national data function and within MOPAC's Data & Insight function You will need: experience using either Python or R to bring data together from diverse sources and prepare for analysis using cleaning and preparation techniques extensive practical experience of using innovative platforms for data visualization including R Shiny, Power BI and/or Tableau A degree or equivalent professional More ❯

quantitative models, metrics and investment frameworks, with rigorous back‐testing, scenario design, and attribution . Integrate new indicators and alternative datasets; formalise feature engineering and signal decay/robustness analysis; implement model risk controls , documentation, and reproducibility. Scale and commercialise proprietary metrics for investment use‐cases and new revenue lines (e.g., indices, APIs/subscriptions, data products). … First) Work with systematic team and IT to automate ingestion, validation, and monitoring of 30+ multi‐vendor datasets (schema evolution, mapping, entity resolution, referential integrity, SLA oversight). Run impact analysis of data changes on models and reporting; manage deployment pipelines and data lineage/audit trails ; support data procurement and budgeting. 3) Platform Development & Process Management Co More ❯

insights and recommendations to support strategic decision-making. Support Proof of Concepts (POCs) and pilot analytical models, helping scale successful approaches. Evaluate competitor promotions and market changes to assess impact on market share. Contribute to regular market reporting to inform leadership on pricing dynamics and market movement. Collaborate with managers and wider teams to embed best practices and translate … insights into action. Example Projects: Competitor Impact Analysis: Measure effects of promotions by other platforms on market share and customer switching. Market Inflation Tracker: Analyse the impact of inflation and supply costs on pricing and demand. POC Evaluation: Test pilot analytics projects and turn learnings into recommendations. Pricing Sensitivity Study: Identify how competitor price changes affect order … understanding. Application Process: SQL test on Kaggle - 2 live-coding questions, interactive. Skills-based interview - 45 minutes (30 minutes questions, 15 minutes candidate questions). Case study/data analysis presentation - face-to-face in the office. Find out more and apply via the link below. More ❯

include: Developing/implementing/maintaining an effective Business Continuity Management and Operational Resilience framework across the bank, in line with regulatory requirements Collaborating with departments to conduct Business Impact Analysis and identify critical processes, resources, and set recovery objectives Working closely with teams to create, enhance, and update Business Continuity Plans Coordinating with IT to ensure business … objectives and disaster recovery plans meet business needs Providing detailed reports to senior management on Business Continuity Management and Operational Resilience framework performance Conducting regular risk assessments and scenario analysis to assess the framework's effectiveness Your experience must include: Demonstrated senior-level experience in Business Continuity Management and Operational Resilience within the banking sector Strong knowledge of UK More ❯

include: Developing/implementing/maintaining an effective Business Continuity Management and Operational Resilience framework across the bank, in line with regulatory requirements Collaborating with departments to conduct Business Impact Analysis and identify critical processes, resources, and set recovery objectives Working closely with teams to create, enhance, and update Business Continuity Plans Coordinating with IT to ensure business … objectives and disaster recovery plans meet business needs Providing detailed reports to senior management on Business Continuity Management and Operational Resilience framework performance Conducting regular risk assessments and scenario analysis to assess the framework's effectiveness Your experience must include: Demonstrated senior-level experience in Business Continuity Management and Operational Resilience within the banking sector Strong knowledge of UK More ❯

scalability. Collaborate with data engineering teams to implement models effectively. Work closely with Business Analysts to understand business requirements. Translate functional requirements into logical and physical data models. Provide impact analysis for changes to existing models and propose efficient solutions. Apply knowledge of Insurance domain, including: Specialized Insurance products. London Market practices. Regulatory and compliance data requirements. Ensure … standards and regulatory guidelines. Required 5+ years of experience in data modeling and database design. Strong expertise in SQL Server and Snowflake data modeling. Proficiency in SQL for data analysis and validation. Experience in data architecture principles and data governance. Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data). Preferred Experience with ETL tools and More ❯

scalability. Collaborate with data engineering teams to implement models effectively. Work closely with Business Analysts to understand business requirements. Translate functional requirements into logical and physical data models. Provide impact analysis for changes to existing models and propose efficient solutions. Apply knowledge of Insurance domain, including: Specialized Insurance products. London Market practices. Regulatory and compliance data requirements. Ensure … standards and regulatory guidelines. Required 5+ years of experience in data modeling and database design. Strong expertise in SQL Server and Snowflake data modeling. Proficiency in SQL for data analysis and validation. Experience in data architecture principles and data governance. Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data). Preferred Experience with ETL tools and More ❯

and maintain architectural principles and standards, formalising and regularly updating guidelines and best practices to ensure alignment between architecture, business needs, and technological changes. Conduct technology risk assessments and impact analysis to evaluate risks, analyse potential impacts of architectural decisions, and develop mitigation strategies, particularly for large-scale transformations. Lead architecture reviews and quality assurance by setting up … and technical architectures, with the ability to mentor and develop architectural talent within the council Understanding of financial management in public sector IT, including business case development, cost-benefit analysis, procurement, and vendor management. More ❯

Salary: Competitive Overview We're looking for an experienced Principal or Senior Systems Engineer to play a key role in delivering complex engineering solutions across a range of high-impact projects. You'll take technical ownership of key systems engineering activities, lead multidisciplinary teams, and drive the delivery of innovative solutions that meet our clients' mission-critical needs. ??? Key … full engineering life cycle. Own complete work packages, ensuring successful delivery within agreed timelines, budgets, and quality standards. Develop system architectures, define technical requirements, and lead trade-off and impact analysis to guide decision-making. Produce and review core systems engineering documentation, including requirement specifications, interface definitions, and verification strategies. Plan and execute design reviews, working collaboratively with More ❯

streaming systems write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally develop business intelligence reports that can be reused build accessible data for analysis Skills needed for this role level Communicating between the technical and non-technical. You can show an awareness of the need to translate technical concepts into non-technical language. … You can understand what communication is required with internal and external stakeholders. (Skill level: awareness) Data analysis and synthesis. You can undertake data profiling and source system analysis. You can present clear insights to colleagues to support the end use of the data. (Skill level: working) Data development process. You can design, build and test data products based on … reverse-engineer data models from a live system. (Skill level: working) Metadata management. You can work with metadata repositories to complete complex tasks such as data and systems integration impact analysis. You can maintain a repository to ensure information remains accurate and up to date. (Skill level: working) Problem resolution (data). You can explain the types of problems More ❯

streaming systems write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally develop business intelligence reports that can be reused build accessible data for analysis Skills needed for this role level Communicating between the technical and non-technical. You can show an awareness of the need to translate technical concepts into non-technical language. … You can understand what communication is required with internal and external stakeholders. (Skill level: awareness) Data analysis and synthesis. You can undertake data profiling and source system analysis. You can present clear insights to colleagues to support the end use of the data. (Skill level: working) Data development process. You can design, build and test data products based on … reverse-engineer data models from a live system. (Skill level: working) Metadata management. You can work with metadata repositories to complete complex tasks such as data and systems integration impact analysis. You can maintain a repository to ensure information remains accurate and up to date. (Skill level: working) Problem resolution (data). You can explain the types of problems More ❯