1 to 25 of 766 Permanent Tableau Jobs in England

data needs and provide actionable insights. Analyse datasets to uncover trends, patterns, and anomalies that inform strategic decisions. Requirements Basic knowledge of SQL and data visualisation tools (Power BI, Tableau). Proficiency in Microsoft Excel; familiarity with VBA and Macros is a plus. Strong analytical mindset with a keen eye for detail. Excellent communication and problem solving skills. Ability to More ❯

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 thinking and More ❯

quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used for statistical forecasting (e.g., R, Python More ❯

quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used for statistical forecasting (e.g., R, Python More ❯

Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience working on mobile attribution solutions (Appsflyer, Singular)[4] ● Experience working on a mobile game or a mobile app More ❯

Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience working on mobile attribution solutions (Appsflyer, Singular)[4] ● Experience working on a mobile game or a mobile app More ❯

ability to manage and analyse large-scale, complex datasets. Experience with database platforms such as SQL Server, Oracle, SAS, or Access. Familiarity with data visualisation tools (e.g. Power BI, Tableau) for insight generation and reporting. Knowledge of AI and Machine Learning models for risk scoring and predictive analytics. Expertise with Financial Crime platforms such as ACI PRM (Proactive Risk Manager More ❯

Support automation and efficiency initiatives throughout the loan lifecycle. Present insights clearly to non-technical stakeholders. Help develop tools using SQL, Python, and BI platforms (e.g. Quicksight, Power BI, Tableau). What we’re looking for Essential: A degree in (Maths, Statistics, Economics, Computer Science, Data Science). Strong analytical and problem-solving skills. Proficiency in SQL and Excel . More ❯

a Data Analyst or similar role, preferably within a fast-paced environment in Travel/Tourism/Hospitality. Strong proficiency in SQL, Excel, and data visualisation tools such as Tableau or Power BI Experience with programming languages such as Python or R is a plus Excellent analytical and problem-solving skills with a keen eye for detail Strong communication and More ❯

Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to More ❯

Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to More ❯

applying advanced data processing techniques and managing Dataflows, using a wide range of tools and technologies including SQL, SSIS, SSRS, Azure Data Factory, PowerShell, Python, M scripting, QlikView, and Tableau, to ensure robust, automated, and user-friendly business intelligence solutions. About You You will be a key part of developing the Business Intelligence solution and collaborating across functions to provide More ❯

accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning. Deep expertise in advanced analytics, data science and traditional analytics. High-level understanding of data engineering and data strategy. Strong understanding of at least one cloud stack More ❯

predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. Clear and adaptable communicator, able to explain technical topics to business audiences and translate business needs for product teams. More ❯

Experience with Agile development methodologies.  Excellent communication, interpersonal, and problem-solving skills.  Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs).  Experience with data visualisation tools (e.g., Tableau, Power BI).  Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes).  Experience working in a financial services or economic data environment.  Azure certifications related to More ❯

modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is an advantage. Knowledge of pensions More ❯

modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is an advantage. Knowledge of pensions More ❯

identify trends, patterns, and outliers that inform strategic decisions. Present complex data in clear, actionable formats for various stakeholders. Build and maintain dashboards and reports using Excel, Power BI, Tableau, or similar tools. Manage relationships with external lead generation partners. Collaborate with cross-functional teams to deliver data-driven solutions. Profile Degree in relevant subject (Data Science, Statistics, Economics or More ❯

for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using tools such as Power BI, Tableau, or similar platforms. Familiarity with cloud-based data platforms (e.g., Azure, AWS) and deployment of models in a production environment. If you have the relevant experience and would like to More ❯

for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using tools such as Power BI, Tableau, or similar platforms. Familiarity with cloud-based data platforms (e.g., Azure, AWS) and deployment of models in a production environment. If you have the relevant experience and would like to More ❯

analytical and quantitative skil ls, with expertise in statistical analysis and predictive modelin g.Proficiency in SQL, Python, or R, and experience with data visualization tools such as Power BI, Tableau, or Looker Studi o.Excellent stakeholder management skil ls, with the ability to communicate complex data findings to non-technical audience s.Knowledge of data science and machine learning techniqu es applied More ❯

analytical and quantitative skil ls, with expertise in statistical analysis and predictive modelin g.Proficiency in SQL, Python, or R, and experience with data visualization tools such as Power BI, Tableau, or Looker Studi o.Excellent stakeholder management skil ls, with the ability to communicate complex data findings to non-technical audience s.Knowledge of data science and machine learning techniqu es applied More ❯

of projects. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Skills: Knowledge of data warehousing concepts and technologies. Familiarity with data visualization tools such as Tableau or Power BI. Experience with data modeling and database design. AWS certification(s) related to data and analytics. 🌳Candidates must hold a valid British passport and must have worked in More ❯

of projects. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Skills: Knowledge of data warehousing concepts and technologies. Familiarity with data visualization tools such as Tableau or Power BI. Experience with data modeling and database design. AWS certification(s) related to data and analytics. 🌳Candidates must hold a valid British passport and must have worked in More ❯

and experience: Bachelor’s degree in business, economics, statistics, marketing, or a related field. Strong proficiency in Microsoft Excel and basic statistical analysis; familiarity with advanced analytics tools (e.g., Tableau, Power BI, Python, R) is an asset. Excellent written and verbal communication skills for presenting complex data in accessible terms. Attention to detail and a methodical, organized approach to managing More ❯