701 to 725 of 1,865 Visualisation Jobs in the UK

drive business outcomes. Role Overview: Job Title: Data Engineer Location: London/Remote Contract Type: Contract Duration: 3 months initially SQL – 5+ years Python – 5+ years Data Modelling, Data visualization - Tableau, micro strategy etc and integration tools: Azure Data Factory, Airflow etc- 5+ years BI and integration tools: Azure Data Factory Experience with data analysing will be a plus. Process More ❯

collection. Collaborate closely with teams across SEO, paid media and data insight to align analytics with broader marketing goals. Skills & Experience: Experience with GA4 is essential Experience with data visualisation tools is highly desirable (Looker, Power BI or Tableau etc) Exposure and understanding of Google Tag Management 1–2 years' experience in digital analytics or a heavily data focused digital More ❯

related field. Proven experience in developing and maintaining data infrastructures. Proficiency in SQL and Python for data manipulation, automation, and analysis. Experience with Business Intelligence (BI) tools and data visualization is a plus. In-depth understanding of risk modelling, including factor risk models and stress testing. Ability to clearly communicate complex risk modelling techniques to non-experts. Familiarity with platforms More ❯

related field. Proven experience in developing and maintaining data infrastructures. Proficiency in SQL and Python for data manipulation, automation, and analysis. Experience with Business Intelligence (BI) tools and data visualization is a plus. In-depth understanding of risk modelling, including factor risk models and stress testing. Ability to clearly communicate complex risk modelling techniques to non-experts. Familiarity with platforms More ❯

related field. Proven experience in developing and maintaining data infrastructures. Proficiency in SQL and Python for data manipulation, automation, and analysis. Experience with Business Intelligence (BI) tools and data visualization is a plus. In-depth understanding of risk modelling, including factor risk models and stress testing. Ability to clearly communicate complex risk modelling techniques to non-experts. Familiarity with platforms More ❯

Data & Analytics. The Successful Applicant Proficiency in SQL and dbt (data build tool) for data transformation and management. Experience with cloud-based data warehouses, preferably Snowflake. Familiarity with data visualization platforms such as Tableau, Looker, and Metabase. Strong problem-solving abilities and innovative solution development. Experience in project management to ensure timely and successful data initiatives. Leadership experience, with at More ❯

to gain exposure in data science and machine learning projects as the team evolves. Day-to-Day Responsibilities: Build and maintain SQL queries and Looker dashboards for reporting and visualisation Develop and maintain data pipelines using DBT Ingest and process data from various sources across the business Collaborate with business stakeholders to understand reporting needs Contribute to large-scale European More ❯

to gain exposure in data science and machine learning projects as the team evolves. Day-to-Day Responsibilities: Build and maintain SQL queries and Looker dashboards for reporting and visualisation Develop and maintain data pipelines using DBT Ingest and process data from various sources across the business Collaborate with business stakeholders to understand reporting needs Contribute to large-scale European More ❯

e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure More ❯

e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure More ❯

to gain exposure in data science and machine learning projects as the team evolves. Day-to-Day Responsibilities: Build and maintain SQL queries and Looker dashboards for reporting and visualisation Develop and maintain data pipelines using DBT Ingest and process data from various sources across the business Collaborate with business stakeholders to understand reporting needs Contribute to large-scale European More ❯

e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure More ❯

analytics for Marketing Mix Modelling, Forecasting, and Predictive Analysis. Experience with data transformation and parsing using SQL queries, Python, or R. Experience with cloud data warehouses (e.g., Snowflake, BigQuery), visualization tools (e.g., Tableau, Looker), and web analytics platforms. If you believe you have the relevant experience, please reply to this advert or email your CV to Not right? Have a More ❯

impact in a mission-driven setting. What youll be doing Youll lead the development of insightful dashboards that interpret complex sensor data, using Python, Google Cloud Platform, and data visualisation tools like Looker Studio or Power BI. Youll work closely with commercial, product, and field teams to uncover trends, evidence impact, and communicate findings clearly across the business. This is More ❯

marketing (agency or client-side). Strong analytical skills with experience working with large and complex datasets. Proficiency in Excel; SQL knowledge would be a plus. Experience with data visualisation tools (e.g., Power BI, Tableau) and social analytics platforms (e.g., Brandwatch, Sprout) would be an advantage. Confident communicator with experience presenting insights and influencing stakeholders. Passion for customer data insights More ❯

marketing (agency or client-side). Strong analytical skills with experience working with large and complex datasets. Proficiency in Excel; SQL knowledge would be a plus. Experience with data visualisation tools (e.g., Power BI, Tableau) and social analytics platforms (e.g., Brandwatch, Sprout) would be an advantage. Confident communicator with experience presenting insights and influencing stakeholders. Passion for customer data insights More ❯

experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software PREFERRED QUALIFICATIONS - 4+ years of working with very large data More ❯

BI are desirable Experience building reports and dashboards Comfortable working with large data sets and turning them into actionable insights. Excellent communication skills and stakeholder management. Experience with data visualisation tools (Power BI, Tableau, etc.) is a plus. This is a fantastic role for someone ready to take the next step in their digital analytics career, joining a collaborative team More ❯

Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF Experience in CI/CD and DevOps/MLOps and version control Familiarity with data visualization and reporting tools, ideally PowerBI Experience in the pensions or similar regulated financial services industry Due to the volume of applications received for positions, it will not be possible to More ❯

experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software PREFERRED QUALIFICATIONS - 4+ years of working with very large data More ❯

only crunch the numbers, but also tell the story behind them. The Role You’ll take the lead on key analytics initiatives, working end-to-end across data pipelines, visualisation, and stakeholder communication. It’s a hands-on role with plenty of variety — perfect for someone who enjoys making sense of messy data and translating that into insight that drives More ❯

attention to detail, and ability to meet tight deadlines. Knowledge of relevant accounting and compliance regulations. Preferred Qualifications: Experience with SaaS business models and revenue operations. Familiarity with data visualization tools (e.g. Power BI) for commission reporting. Certification in financial or sales operations (e.g., Certified Sales Compensation Professional - CSCP) is a plus. More ❯

attention to detail, and ability to meet tight deadlines. Knowledge of relevant accounting and compliance regulations. Preferred Qualifications: Experience with SaaS business models and revenue operations. Familiarity with data visualization tools (e.g. Power BI) for commission reporting. Certification in financial or sales operations (e.g., Certified Sales Compensation Professional - CSCP) is a plus. More ❯

at least one non-SAP data platform, ideally Snowflake or Databricks Knowledge of ETL tools like SAP Data Services, Matillion, Fivetran or SNP Glue Hands-on experience with data visualisation tools such as Power BI (including data modelling and extraction) Hands-on experience with SAP Analytics Cloud Functional understanding of core modules within SAP S/4HANA Industry specific knowledge More ❯

and Customer Engagement teams in customer-facing meetings for data-related deliverables Requirements: Exceptional analytical skills with the ability to interpret complex datasets. Proficiency in SQL, Python, and data visualization tools like AWS QuickSight. Experience with regulatory compliance and data privacy standards. Ability to translate business requirements into actionable data solutions. Excellent communication skills to present insights to technical and More ❯