1 to 25 of 494 Tableau Jobs in the South East

large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication and More ❯

large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication and More ❯

large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication and More ❯

large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication 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 ❯

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 ❯

with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications MSc or PhD in More ❯

Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have More ❯

Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have More ❯

Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have More ❯

Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

technical and non-technical audiences. Experience documenting BI solutions, including data dictionaries and metadata. Understanding of Master Data Management (MDM). Exposure to other BI tools (eg Power BI, Tableau). Basic Scripting skills (eg Python) YOU MUST possess excellent communication skills, be local to Milton Keynes and be eligible to work in the UK. 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 ❯

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 ❯

Strong knowledge of integration patterns and authentication protocols. Knowledge of DevOps tools. Familiarity with the finance industry is a plus. Experience with ETL tools and data visualization platforms (e.g., Tableau, Power BI). Knowledge of programming languages (e.g., Python, Apex) for data manipulation and automation. Familiarity with cloud computing concepts and technologies. More ❯

Strong knowledge of integration patterns and authentication protocols. Knowledge of DevOps tools. Familiarity with the finance industry is a plus. Experience with ETL tools and data visualization platforms (e.g., Tableau, Power BI). Knowledge of programming languages (e.g., Python, Apex) for data manipulation and automation. Familiarity with cloud computing concepts and technologies. More ❯