126 to 150 of 1,796 Visualisation Jobs in the UK

Power Platform, particularly Power Apps, Power Automate, and Dataverse. Experience in using cloud computing services such as AWS, GCP, or Azure. Experience in data visualisation tools such as Looker, Tableau, or Qlik. Experience in defining and documenting business requirements for the procurement of data and tooling. Desirable but not essential More ❯

dependencies on manual data pulls etc. BASIC QUALIFICATIONS 3+ 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 ❯

working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark More ❯

experience in global financial institutions. Proven background in data architecture management. Strong knowledge of database technology, data warehousing, and data governance. Proficiency with data visualization tools like Tableau or Power BI. Excellent communication and collaboration skills. Master's degree in Data Architecture, Information Management, Computer Science, Statistics, or related field More ❯

Strong knowledge of data engineering principles , including data modeling, ETL, and real-time processing. Experience with analytics solutions (Power BI, Microsoft Fabric, or similar visualization tools). Hands-on proficiency in Python, SQL, or R for data processing and analytics. Familiarity with AI/ML concepts and frameworks such as More ❯

Strong knowledge of data engineering principles , including data modeling, ETL, and real-time processing. Experience with analytics solutions (Power BI, Microsoft Fabric, or similar visualization tools). Hands-on proficiency in Python, SQL, or R for data processing and analytics. Familiarity with AI/ML concepts and frameworks such as More ❯

or at least coaching, more junior team members. Strong proficiency in data analysis tools and techniques, including knowledge & experience of data warehousing and data visualisation tools. Strategic thinking and the ability to gather, understand & interpret business requirements, aligning insights initiatives with overall business objectives. Excellent communication and interpersonal skills, with More ❯

a fast-paced environment. PREFERRED QUALIFICATIONS 1. Experience using SQL to extract data from a database or data warehouse and building ETL pipelines 2. Visualization tools experience: Quicksight/Tableau or similar tools 3. Scripting Experience: R/Python/C++ 4. (Optional) Experience with AWS solutions (S3, Athena, Sagemaker More ❯

stakeholder management skills. Degree in quantitative field such as Mathematics, Statistics, Economics, Finance, or a related discipline. Experience with machine learning techniques and data visualisation tools is a plus. What’s in it for you? Joining BNP Paribas Personal Finance means becoming part of a Top Employer UK dedicated to More ❯

Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both technical and non-technical stakeholders More ❯

Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both technical and non-technical stakeholders More ❯

experience in exploratory data analysis and rapid modeling techniques. Proficiency in Python, R, or similar languages for data manipulation and analysis. Experience with data visualization tools and libraries (Tableau, PowerBI, matplotlib, ggplot, D3.js). Ability to quickly clean, transform, and structure messy or incomplete datasets. Experience designing and conducting quantitative More ❯

Data Query coding (e.g., SQL, Python) Business Intelligence & Reporting Tools (e.g., Power BI) Good awareness of common Data Analytics techniques, together with advanced Data Visualisation Skills Strong communications and presentation skills - able to communicate complex data analysis to a non-technical audience in a simple way Strong collaboration skills Fluency More ❯

data Ability to analyse datasets and generate insights using Databricks analytical tools and features Practical knowledge of common data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, PowerBI and Sigma Experience using native functionality to deploy and interact with Large Language Models Ability to develop More ❯

identifying relevant data sources and summarising to provide the insight as identified. Proficiency in Python and/or R a bonus. Proficiency with data visualisation software (e.g. Power BI) a bonus. Good experience of using Excel and MS Office. Ability to resolve data-related problems. Ability to collaborate and work More ❯

identifying relevant data sources and summarising to provide the insight as identified. Proficiency in Python and/or R a bonus. Proficiency with data visualisation software (e.g. Power BI) a bonus. Good experience of using Excel and MS Office. Ability to resolve data-related problems. Ability to collaborate and work More ❯

Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. Familiarity with data visualization and reporting tools like Tableau. Exceptional analytical skills and a strategic mindset. Strong knowledge of data security, governance, and compliance standards. Problem-solving mindset: Ability More ❯

Engineering or a related field (or equivalent coursework/projects). Proficiency in Python Desirable Medical degree or clinical experience Proficiency in advanced data visualisation, presentation, frontend tools Formal qualification and/or practical experience related to AI and Machine Learning Knowledge & experience Essential Experience in technical roles in health More ❯

is looking for a Data Analyst to join our remote team. This role offers the chance to work with cutting-edge data analysis and visualization tools, driving key business decisions through data-driven strategies. Ideal candidates will have a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a … ideal candidate will be responsible for collecting, analyzing, and interpreting complex datasets to help drive business decisions. This role requires strong analytical skills, data visualization expertise, and proficiency with data tools and technologies. Responsibilities Gather, clean, and analyze data from multiple sources to provide actionable insights. Develop and maintain dashboards … and reports using data visualization tools. Collaborate with business stakeholders to identify trends, patterns, and improvement opportunities. Utilize statistical methods to analyze data sets and generate predictive models. Ensure data accuracy, integrity, and compliance with relevant policies. Automate data processing and reporting tasks for efficiency. Communicate findings and recommendations effectively More ❯

Job Title: BI Developer Job Summary: We are seeking a talented and experienced BI Developer to join our growing data analytics team. In this role, you will be responsible for designing, developing, implementing, and maintaining robust Business Intelligence solutions using More ❯

SKILLS AND EXPERIENCE: The Lead Insight Analyst will have: Strong analytical and problem-solving abilities. Experience with data manipulation, using SQL. Proficiency in data visualisation, via tools such as Tableau, Power BI etc. Ability to interpret business and marketing insights . Confident communication and stakeholder management . Experience working with More ❯

SKILLS AND EXPERIENCE: The Lead Insight Analyst will have: Strong analytical and problem-solving abilities. Experience with data manipulation, using SQL. Proficiency in data visualisation, via tools such as Tableau, Power BI etc. Ability to interpret business and marketing insights . Confident communication and stakeholder management . Experience working with More ❯

success. Skills: Solid experience in a data analyst role A background working within Telecoms would be highly desirable Strong data collection, cleaning, analysis, and visualisation skills using tools such as Excel, Power BI, Tableau, SQL, Python and Snowflake Experience with budgeting, forecasting, and variance analysis in a corporate or technical More ❯

/Data Analysis Strong hands-on expertise with ETRM systems and SQL Experience in Energy Trading, Financial Services, or Oil & Gas Familiarity with data visualization tools (Power BI/Tableau - nice to have) Proficient in Agile methodologies, JIRA/Azure DevOps Understanding of software development lifecycle (SDLC) What You'll More ❯

of experience as Business Analyst and 6+ years in data analysis and data modeling. - Strong knowledge of SQL and relational databases. - Experience with data visualization tools, such as Tableau or Power BI. - Ability to think critically and identify patterns and trends in complex data sets. - Excellent communication and presentation skills. More ❯