51 to 75 of 1,796 Visualisation Jobs in the UK

in Computer Science, Data Engineering, or related field. Microsoft certifications in Azure or Dynamics 365 are a plus. Experience with Power BI or other visualization tools. BENEFITS Competitive Salary. Company Laptop supplied. 25 Days Annual Leave (plus bank holidays). Hybrid working model. Healthcare & Company Pension. Cycle to work and More ❯

lifecycles; development methodology; release strategy and configuration management; development tools, and applications across full project lifecycles. Experience with Power BI or a similar data visualisation tool is desirable. Why Just? We are committed to building a more sustainable business and have publicly committed to reduce our scope 3 emissions to More ❯

and dashboarding. Preferred Skills: Cloud Platform Experience : Familiarity with Azure cloud, data lakes, or similar data storage solutions. Additional Tools : Experience with other data visualisation tools (e.g., Tableau) and analytics software is an advantage. Data Operations : Understanding of data warehousing and data pipeline development for seamless data access/movement More ❯

and dashboarding. Preferred Skills: Cloud Platform Experience : Familiarity with Azure cloud, data lakes, or similar data storage solutions. Additional Tools : Experience with other data visualisation tools (e.g., Tableau) and analytics software is an advantage. Data Operations : Understanding of data warehousing and data pipeline development for seamless data access/movement More ❯

role, emphasizing data analysis and product development. Solid understanding of data modelling, database design, and data integration techniques. Proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI. Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights. Strong interpersonal More ❯

Cloud). • Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica). • Proficiency in data integration tools and technologies. • Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus. • Deep understanding of data governance frameworks and best practices. • Knowledge of security protocols, data privacy More ❯

Qualifications Essential Postgraduate degree or equivalent experience in the analysis of data Evidence of CPD/Informatics Related Qualifications (such as SQL, R, Statistics, visualisation/SPC, project management, health economics) Knowledge & Experience Essential Extensive experience of working in a data analysis role Experience of working in a busy Information More ❯

experience in a Data Science or similar analytical role. Strong proficiency in Python and SQL. Hands-on experience with Power BI or similar data visualisation tools. familiarity with version control (e.g., Git) and MLOps principles. Great communication skills both verbally and written. The role is offering a salary of up More ❯

statistical analysis, machine learning algorithms, and data manipulation techniques. Familiarity with actuarial methods and tools (e.g., pricing, reserving, financial forecasting). Knowledge of data visualization techniques and tools (e.g., Tableau, Power BI, matplotlib). Experience with cloud-based platforms (AWS, Azure) and big data tools (Hadoop, Spark) is a plus. More ❯

such as Python. Experience with cloud platforms such as Azure. Strong understanding of data modelling, data warehousing, and data architecture principles. Experience with data visualization tools such as Power BI. Strong analytical and problem-solving skills with a collaborative team-oriented mindset. Please note that you will be required to More ❯

such as Python. Experience with cloud platforms such as Azure. Strong understanding of data modelling, data warehousing, and data architecture principles. Experience with data visualization tools such as Power BI. Strong analytical and problem-solving skills with a collaborative team-oriented mindset. Please note that you will be required to More ❯

analytical skills with the ability to troubleshoot and resolve data issues. Communication: Excellent communication skills for collaborating with technical and non-technical teams. Data Visualization: Experience with tools like Tableau or Power BI. Power BI Skills: Knowledge of DAX, M, and Power Query for data tables and ingestion. Data Structures More ❯

background in a STEM-related field. Experience delivering data-driven solutions in a consulting or technical role. Proficiency in SQL, Python, R, and data visualisation tools. Familiarity with cloud platforms such as AWS and Azure. Ability to analyse and interpret large datasets for business impact. Strong problem-solving skills and More ❯

with the Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.). Bonus skills include: Familiarity with Git. Experience with data visualization tools (Tableau, Looker, PowerBI, or equivalent). Knowledge of DBT. 2-5 years of experience in consumer credit risk or collections within financial services, utilities More ❯

presentation skills. Desired Skills: Experience with containerization technologies (e.g. Docker Kubernetes). Experience with data streaming platforms (e.g. Kafka Kinesis). Experience with data visualization and business intelligence tools. Experience with Agile development methodologies. AWS Certifications (e.g. AWS Certified Data Analytics - Specialty AWS Certified Solutions Architect) About Capgemini Capgemini is More ❯

and some experience of at least one scripting language, such as Python or R, is essential, along with experience using business intelligence and data visualisation tools like Tableau, Power BI, or similar platforms. A solid working knowledge of statistical techniques is required, as well as the ability to work with More ❯

in a data analytics role. Strong SQL skills for data extraction and querying. Experience with Python for data exploration and analysis. Proficiency in data visualisation tools (Tableau, Power BI, Metabase, etc.). A numerical, scientific, or programming degree (or equivalent experience). Strong problem-solving and analytical skills with high More ❯

customers Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data More ❯

customers Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data More ❯

customers Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data More ❯

plans, 3-year strategy and outlook. BASIC QUALIFICATIONS - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and More ❯

with the business to improve our ways of working. Supporting the business and working with stakeholders to design, build, and maintain a range of visualisation dashboards and reports, managing stakeholder expectations. Analyse data to derive insights and support decision-making processes. Document ETL processes, data models, and report specifications for More ❯

tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of machine learning algorithms, statistical modelling, and AI-driven analytics. Data analysis, management, and visualisation expertise. Proactively manages conflicts within their workstack, clearly communicating any delays and managing expectations effectively. If you are excited about this role but your experience More ❯

What will you need to succeed? Strong SQL skills (with a few years of applied experience). Experience with at least one BI/visualisation tool (e.g. Looker/Power BI/Tableau etc.) Knowledge of ETL/ELT tools (e.g. dbt/Fivetran etc.) An understanding of Data Governance More ❯

data warehousing, data modelling, and schema design. Technical Skills: Proficiency in SQL. Strong experience with Google Cloud Platform (GCP) and BigQuery. Experience with data visualization tools, particularly Power BI. Strong understanding of API integrations. Solid understanding of data privacy regulations (GDPR and other data capture regulations). Stakeholder Management: Proven More ❯