76 to 100 of 479 Visualisation Jobs in London

version control practices (Git, CI/CD pipelines, containers). Understanding of marketing technology ecosystems (e.g. ad platforms, CRM integrations). Hands-on experience with Power BI or other visualisation platforms. Why Join Us? Ownership culture: Be a part of an employee-owned company. Hybrid Working: Enjoy flexibility in balancing office and remote work. Professional Growth: Receive structured training and More ❯

outcome-oriented environment that values high performance, practical impact, and clear communication. Key Responsibilities Develop and maintain scalable, reproducible analytical workflows using Python and SQL. Lead dashboard development and visualisation, becoming the team's go-to expert for tools used by Fund Management teams. Collaborate with data engineers and data scientists on data exploration, cleansing, and pipeline optimisation. Translate complex More ❯

version control practices (Git, CI/CD pipelines, containers). Understanding of marketing technology ecosystems (e.g. ad platforms, CRM integrations). Hands-on experience with Power BI or other visualisation platforms. Why Join Us? Ownership culture: Be a part of an employee-owned company. Hybrid Working: Enjoy flexibility in balancing office and remote work. Professional Growth: Receive structured training and More ❯

version control practices (Git, CI/CD pipelines, containers). Understanding of marketing technology ecosystems (e.g. ad platforms, CRM integrations). Hands-on experience with Power BI or other visualisation platforms. Why Join Us? Ownership culture: Be a part of an employee-owned company. Hybrid Working: Enjoy flexibility in balancing office and remote work. Professional Growth: Receive structured training and More ❯

product management and engineering teams to integrate data-driven insights and deploy predictive models into existing systems and processes. Communicate complex models and findings to stakeholders effectively through data visualisation, reports, and presentations. Stay updated on emerging trends and technologies in data science and the pet insurance industry, implementing new methodologies, tools, and frameworks to enhance data analysis and modelling More ❯

data interpretation Ability to translate business problems into analytical frameworks Experience presenting complex findings to non-technical audiences Collaborative approach to working with cross-functional teams Knowledge of data visualization techniques and storytelling with data Experience with project delivery in an analytical context Understanding of data quality and integrity principles Some other highly valued skills may include: Experience at a … applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R, SQL) Experience with data visualization tools (Tableau, Power BI, etc.) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic More ❯

security, data architecture - Working alongside end users, stakeholders and data product teams Technology skillset: - Experience in data engineering, data modelling and data analytics [programming languages: Python, SQL, Alteryx] - Data Visualisation experience [tools: PowerBI, Tableau or similar] - MetaData management and data cataloguing [tools: Collibra, Alation] - Data Platform tools [DataBricks, Azure, Kafka] Other skills required: - Strong stakeholder management skills - Experience working in More ❯

scheduling systems is a plus Demonstrated ability to thrive with minimal oversight and process. You connect the dots across business needs and independently drive projects forward Have strong data visualization skills and experience with Power BI is a bonus Have experience with cloud technologies, preferably Microsoft Azure More ❯

Requirements Proven experience using data analytics to support audit or risk functions. Strong proficiency in SQL and Python in a professional setting. Solid understanding of databases, data warehousing, and visualisation principles. Ability to explain complex technical topics to non-technical audiences. Experience with Power BI, Google Cloud, or data science methods (ML, NLP, Generative AI) desirable. Financial services experience advantageous. More ❯

processes, reporting quality, and insight delivery. Use tools like Excel, Qlik Sense, Power BI, and Business Objects for data analysis. What You'll Bring Strong analytical skills and data visualisation experience. Proficiency in Excel, Power BI, Qlik Sense, and MI tools. Ability to communicate complex data clearly to senior stakeholders. High attention to detail and strong organisational skills. Experience in More ❯

manage multiple priorities and work effectively. Strong experience with dbt and Snowflake . Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker , Power BI , or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

manage multiple priorities and work effectively. Strong experience with dbt and Snowflake . Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker , Power BI , or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake. Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker, Power BI, or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake. Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker, Power BI, or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

innovation goals. - Manage JIRA project tracking, maintain Confluence documentation, and oversee code design for efficient development and collaboration. - Lead technical design and implementation of data models, ETL processes, and visualisation tools (BigQuery, Airflow, SSIS, Tableau, SSRS). - Define and implement best practices in data modeling, including data warehouse and lakehouse integration (Medallion Architecture). Skills and Experience: - Strong understanding of More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

Data Science should have: Proven experience in data science and analytics, ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining AI and machine learning models, including use of deep More ❯

testing and experimentation to evaluate new initiatives and identify performance improvements. Leading key projects that translate complex data into clear, actionable insights to guide strategic direction. Leveraging advanced data visualisation techniques to communicate analytical findings in a compelling and accessible way. Monitoring and fine-tuning model performance to ensure continuous accuracy and reliability. Using advanced machine learning techniques (including NLP More ❯

systems (e.g., Microsoft Project Online, MS Office 365 suite). The skills you'll need: Strong proficiency in Power BI, Power Query, and PPM software. Advanced skills in data visualisation, dashboard design, and analytics. Experience using SQL, DAX, and Power Query for ETL processes. High-level analytical and data management capabilities. Background in PMO and data analytics, ideally within a More ❯

role as an Insight Analyst, ideally in the Real Estate, or broader Investment and Development sectors. You will need strong Power BI reporting experience with advanced data analytics and visualisation skills. You'll also have: Strong financial acumen and commercial knowledge to interpret complex financial and investment analysis Excellent stakeholder management skills with clear communication and strong collaboration skills Ability More ❯

senior stakeholders, connecting data to commercial outcomes Support the marketing team with ROI and attribution analysis Build and refine data models that enable continuous learning and performance tracking 📊 Data Visualisation & Storytelling You’ll create dashboards and reports that empower teams across the business to access insight quickly and confidently. Your visualisations will simplify complexity and help teams understand what matters More ❯

senior stakeholders, connecting data to commercial outcomes Support the marketing team with ROI and attribution analysis Build and refine data models that enable continuous learning and performance tracking 📊 Data Visualisation & Storytelling You’ll create dashboards and reports that empower teams across the business to access insight quickly and confidently. Your visualisations will simplify complexity and help teams understand what matters More ❯