1 to 25 of 61 Permanent Analytical Modelling Jobs in London

work model – 3 days per week in the London office Role and Responsibilities Collaborate directly with trading and analytics teams to engineer, optimize, and automate front-office workflows and analytical models. Develop robust Python-based services and APIs using modern frameworks, microservice architectures, and best-practice design principles. Design and maintain tools that support market data ingestion, supply & demand More ❯

work model – 3 days per week in the London office Role and Responsibilities Collaborate directly with trading and analytics teams to engineer, optimize, and automate front-office workflows and analytical models. Develop robust Python-based services and APIs using modern frameworks, microservice architectures, and best-practice design principles. Design and maintain tools that support market data ingestion, supply & demand More ❯

techniques such as data models, data flows, report specifications, and wireframes. Partner with the Data Engineering and BI teams to define and implement robust data pipelines, reporting solutions, and analytical models that support strategic decision-making and operational efficiency. Analyse data, including identifying sources, assessing data quality, defining lineage, and ensuring adherence to data governance standards. Translate complex business More ❯

techniques such as data models, data flows, report specifications, and wireframes. Partner with the Data Engineering and BI teams to define and implement robust data pipelines, reporting solutions, and analytical models that support strategic decision-making and operational efficiency. Analyse data, including identifying sources, assessing data quality, defining lineage, and ensuring adherence to data governance standards. Translate complex business More ❯

techniques such as data models, data flows, report specifications, and wireframes. Partner with the Data Engineering and BI teams to define and implement robust data pipelines, reporting solutions, and analytical models that support strategic decision-making and operational efficiency. Analyse data, including identifying sources, assessing data quality, defining lineage, and ensuring adherence to data governance standards. Translate complex business More ❯

techniques such as data models, data flows, report specifications, and wireframes. Partner with the Data Engineering and BI teams to define and implement robust data pipelines, reporting solutions, and analytical models that support strategic decision-making and operational efficiency. Analyse data, including identifying sources, assessing data quality, defining lineage, and ensuring adherence to data governance standards. Translate complex business More ❯

end analytics platform, delivering intuitive, high-performance tools that empower users with real-time insights and advanced visualization capabilities. Collaborate with commercial teams to engineer and optimize processes and analytical models. Build and maintain Python-based services and APIs using modern frameworks and best practices. Develop solutions for data modeling, market analysis, and position management. Design cloud-native tools More ❯

end analytics platform, delivering intuitive, high-performance tools that empower users with real-time insights and advanced visualization capabilities. Collaborate with commercial teams to engineer and optimize processes and analytical models. Build and maintain Python-based services and APIs using modern frameworks and best practices. Develop solutions for data modeling, market analysis, and position management. Design cloud-native tools More ❯

performance Develop, implement, and maintain robust ELT pipelines consuming data from internal systems and external partners Partner with business stakeholders and customers to unlock data insights and build impactful analytical models Investigate and resolve system defects, respond to production incidents, and conduct thorough code reviews Provide technical leadership by staying current with emerging technologies and mentoring team members Technical More ❯

performance Develop, implement, and maintain robust ELT pipelines consuming data from internal systems and external partners Partner with business stakeholders and customers to unlock data insights and build impactful analytical models Investigate and resolve system defects, respond to production incidents, and conduct thorough code reviews Provide technical leadership by staying current with emerging technologies and mentoring team members Technical More ❯

performance Develop, implement, and maintain robust ELT pipelines consuming data from internal systems and external partners Partner with business stakeholders and customers to unlock data insights and build impactful analytical models Investigate and resolve system defects, respond to production incidents, and conduct thorough code reviews Provide technical leadership by staying current with emerging technologies and mentoring team members Technical More ❯

performance Develop, implement, and maintain robust ELT pipelines consuming data from internal systems and external partners Partner with business stakeholders and customers to unlock data insights and build impactful analytical models Investigate and resolve system defects, respond to production incidents, and conduct thorough code reviews Provide technical leadership by staying current with emerging technologies and mentoring team members Technical More ❯

a scale-up within a global business. Role As a Lead Data Engineer , you'll take ownership of designing, maintaining, and evolving the data pipelines that power large-scale analytical and machine learning models. You'll work closely with Data Scientists, Analysts, and Software Engineers to deliver robust, scalable data infrastructure. The focus areas include building and optimising pipelines …/ELT pipelines in a cloud environment (AWS or Azure). Knowledge of data warehousing (e.g., Redshift, Postgres) and tools like DBT . Familiarity with CI/CD , data modelling, and Agile practices. Comfortable collaborating with Data Scientists and translating business needs into technical solutions. Experience leading or mentoring other engineers. Benefits Hybrid working from either London or Reading. More ❯

culture. Key Responsibilities: Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the business. Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making. Translate complex business requirements into reliable, well-documented data structures and reporting frameworks. Implement data governance and quality controls, ensuring accuracy, consistency, and compliance … and data lakehouse concepts. Strong working knowledge of Databricks, including Delta Lake and notebooks. Strong interpersonal skills with the ability to influence and communicate complex data topics clearly. Excellent analytical, organisational, and problem-solving abilities. Experience leading or mentoring technical peers. Bonus Skills and Experience: Proficiency in Microsoft SQL Server, including stored procedures, triggers, and performance tuning. Familiarity with More ❯

culture. Key Responsibilities: Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the business. Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making. Translate complex business requirements into reliable, well-documented data structures and reporting frameworks. Implement data governance and quality controls, ensuring accuracy, consistency, and compliance … and data lakehouse concepts. Strong working knowledge of Databricks, including Delta Lake and notebooks. Strong interpersonal skills with the ability to influence and communicate complex data topics clearly. Excellent analytical, organisational, and problem-solving abilities. Experience leading or mentoring technical peers. Bonus Skills and Experience: Proficiency in Microsoft SQL Server, including stored procedures, triggers, and performance tuning. Familiarity with More ❯

culture. Key Responsibilities: Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the business. Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making. Translate complex business requirements into reliable, well-documented data structures and reporting frameworks. Implement data governance and quality controls, ensuring accuracy, consistency, and compliance … and data lakehouse concepts. Strong working knowledge of Databricks, including Delta Lake and notebooks. Strong interpersonal skills with the ability to influence and communicate complex data topics clearly. Excellent analytical, organisational, and problem-solving abilities. Experience leading or mentoring technical peers. Bonus Skills and Experience: Proficiency in Microsoft SQL Server, including stored procedures, triggers, and performance tuning. Familiarity with More ❯

culture. Key Responsibilities: Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the business. Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making. Translate complex business requirements into reliable, well-documented data structures and reporting frameworks. Implement data governance and quality controls, ensuring accuracy, consistency, and compliance … and data lakehouse concepts. Strong working knowledge of Databricks, including Delta Lake and notebooks. Strong interpersonal skills with the ability to influence and communicate complex data topics clearly. Excellent analytical, organisational, and problem-solving abilities. Experience leading or mentoring technical peers. Bonus Skills and Experience: Proficiency in Microsoft SQL Server, including stored procedures, triggers, and performance tuning. Familiarity with More ❯

integrate data from multiple sources, including third-party and open data. Provide story-driven 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 More ❯

market with our offerings Knowledge and Experience • 3+ years of specific Pricing & Packaging experience in SaaS/PaaS for a software company, scale-up or consulting firm • Strong numerical, analytical and modeling skills, uncovering insights to drive measurable benefits • Good understanding of SaaS pricing & packaging theory whilst combining with real world implementable business outcomes • Interpersonal skills, able to work More ❯

Identify opportunities to improve performance, automate processes, and enhance data quality and reliability. Core Skills & Competencies Collaborative mindset: Works well with teams, communicates openly, and fosters a positive culture. Analytical thinking: Structured, detail-oriented, and curious; focused on accuracy and performance. Problem-solving: Able to trace issues across multiple systems and deliver elegant, lasting solutions. Communication: Able to explain … complex technical concepts clearly to technical and non-technical stakeholders. Required Skills & Experience Data warehousing: Understand differences between application databases and analytical warehouses; design models for both. Python: Strong expertise; C# experience is a plus. SQL: Comfortable with complex queries and query tuning on relational and analytical databases (e.g., PostgreSQL, ClickHouse). Containers: Experience building, running, and deploying More ❯

Identify opportunities to improve performance, automate processes, and enhance data quality and reliability. Core Skills & Competencies Collaborative mindset: Works well with teams, communicates openly, and fosters a positive culture. Analytical thinking: Structured, detail-oriented, and curious; focused on accuracy and performance. Problem-solving: Able to trace issues across multiple systems and deliver elegant, lasting solutions. Communication: Able to explain … complex technical concepts clearly to technical and non-technical stakeholders. Required Skills & Experience Data warehousing: Understand differences between application databases and analytical warehouses; design models for both. Python: Strong expertise; C# experience is a plus. SQL: Comfortable with complex queries and query tuning on relational and analytical databases (e.g., PostgreSQL, ClickHouse). Containers: Experience building, running, and deploying More ❯

Identify opportunities to improve performance, automate processes, and enhance data quality and reliability. Core Skills & Competencies Collaborative mindset: Works well with teams, communicates openly, and fosters a positive culture. Analytical thinking: Structured, detail-oriented, and curious; focused on accuracy and performance. Problem-solving: Able to trace issues across multiple systems and deliver elegant, lasting solutions. Communication: Able to explain … complex technical concepts clearly to technical and non-technical stakeholders. Required Skills & Experience Data warehousing: Understand differences between application databases and analytical warehouses; design models for both. Python: Strong expertise; C# experience is a plus. SQL: Comfortable with complex queries and query tuning on relational and analytical databases (e.g., PostgreSQL, ClickHouse). Containers: Experience building, running, and deploying More ❯

Identify opportunities to improve performance, automate processes, and enhance data quality and reliability. Core Skills & Competencies Collaborative mindset: Works well with teams, communicates openly, and fosters a positive culture. Analytical thinking: Structured, detail-oriented, and curious; focused on accuracy and performance. Problem-solving: Able to trace issues across multiple systems and deliver elegant, lasting solutions. Communication: Able to explain … complex technical concepts clearly to technical and non-technical stakeholders. Required Skills & Experience Data warehousing: Understand differences between application databases and analytical warehouses; design models for both. Python: Strong expertise; C# experience is a plus. SQL: Comfortable with complex queries and query tuning on relational and analytical databases (e.g., PostgreSQL, ClickHouse). Containers: Experience building, running, and deploying More ❯

permanent role, and the salary ranges between £60K - £70K + Bonus + Benefits. Hybrid working policy with 3 days in the office per week. Responsibilities include: - Design and deploy analytical models and dashboards to uncover insights, predict trends, and inform decision-making. - Provide data support to business transformation initiatives, ensuring alignment with strategic objectives and digital innovation goals. - Manage … experience - Hands-on experience with Google Cloud Platform tools including: BigQuery; Composer; Apache Airflow; Stream; Informatica; Vertex AI - Tableau dashboard development and reporting - Python programming for data analysis - Data modelling (warehouse, lakehouse, medallion architecture) - Understanding of financial and insurance data models - Insurance experience, ideally with knowledge of key industry metrics Please apply for immediate interview! CBSbutler is operating and More ❯

/London - £130K + Bonus & Benefits – FinTech Overview: An established global FinTech organisation is seeking a skilled Senior Analytics Engineer/Data Engineer to help define and manage its analytical data models and semantic layers. You will support the development of reliable, well-structured datasets that enable accurate reporting, improved data accessibility, and better decision-making across the business. … requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid More ❯