1 to 25 of 812 Tableau Jobs in England

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 ❯

continuously improve technical and professional skills Competency with Microsoft office applications including Excel Some experience of using data tools (e.g. SQL, Python, visualisation tools such as Power BI/Tableau etc) would be an advantage but not essential. Training You will undertake a Level 4 Data Analyst Apprenticeship where you will learn the hands-on skills to extract data from 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 ❯

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 ❯

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 ❯

and managing multiple priorities. * Demonstrated ability to collaborate across business and technical teams, fostering a culture of data-driven decision-making. Desirable Attributes * Experience with additional BI tools (e.g., Tableau, QlikView) and programming languages (e.g., Python, R) is a plus. * Familiarity with cloud data platforms and advanced analytics. * Certification in Power BI or related BI technologies. * Bachelor's degree in 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 ❯

to degree level with 5+ years’ work experience Experience: 2–4 years of experience in MI, data analysis, or BI reporting Proficiency with BI tools such as Power BI, Tableau, or Qlik, preferably Power BI Strong SQL skills with an ability to query and transform data Experience with Excel (advanced functions, pivot tables, macros) Delivery and improvement of data, management 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 ❯

various systems. Support compliance and data-related projects, collaborating effectively with stakeholders. Technical Skills & Knowledge: Strong experience with SQL (SQL Server essential). Proficiency with data visualisation tools (e.g., Tableau or Power BI). Solid understanding of relational databases, data modelling, and storage structures. Good working knowledge of Microsoft Office 365. (Desirable) Familiarity with the Power Platform, Python, or other 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 ❯

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 ❯

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 ❯

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 ❯