26 to 50 of 1,100 Permanent Tableau Jobs

DV Clearence is essential. Technical Skills: Strong SQL skills and ability to work with large, complex datasets from multiple systems. Experience with BI and visualization tools (e.g., Power BI, Tableau, Looker). Familiarity with scripting languages like JavaScript or Python is a plus. Experience with IAM platforms such as Microfocus NetIQ, Microsoft Entra ID (Azure AD), SailPoint, ForgeRock, Okta. Familiarity More ❯

bases and apply appropriate analytic methodologies to generate actionable insights. Proficiency in data analytic tools such as Access, Excel, Python, R, SQL, VBA. Proficiency in data visualization platforms like Tableau, Power BI, or equivalent. Demonstrated experience in data analysis, data engineering, and data enrichment. PREFERRED QUALIFICATIONS 5+ years of experience within the Intelligence Community. Hands-on experience with Jira and More ❯

project costs, and market demands. Provide actionable insights to assist the commercial team in optimising operations and enhancing profitability. Prepare comprehensive reports and dashboards using business intelligence tools (e.g., Tableau, Power BI) to communicate findings effectively. Present insights to stakeholders, including senior management, ensuring clarity and relevance to the commercial objectives. Create visualisations that simplify complex data and highlight key More ❯

predictive analytics, and analyzing customer behavior. Technical Skills : Excellent knowledge of data analysis tools and languages (e.g., SQL, Python, R), as well as experience with data visualization tools (e.g., Tableau, Power BI). Business Acumen: Ability to understand complex business challenges and translate them into effective data analysis problems. Communication Skills : You can clearly and concisely explain complex data findings More ❯

predictive analytics, and analyzing customer behavior. Technical Skills : Excellent knowledge of data analysis tools and languages (e.g., SQL, Python, R), as well as experience with data visualization tools (e.g., Tableau, Power BI). Business Acumen: Ability to understand complex business challenges and translate them into effective data analysis problems. Communication Skills : You can clearly and concisely explain complex data findings 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 ❯

to translate complex data into clear, actionable insights. Ability to collaborate effectively with non-technical stakeholders and adapt to their needs. Desired Qualifications: Knowledge of additional BI tools (e.g., Tableau, Qlik) is a plus. Familiarity with other Microsoft technologies like SQL Server, Azure, or Office 365. Experience in data governance and security practices in BI. Core Essential Skills: Minimum 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 ❯

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 ❯

leading complex AI/ML/Data initiatives Strong analytical and problem-solving skills with a detail-oriented approach to data interpretation Expertise in data visualisation tools, including Excel, Tableau, and Power BI Exceptional communication and collaboration skills to work effectively with cross-functional teams. Why join our client? A chance to lead the direction of machine learning, data and More ❯

insight communication. Strong technical and data modelling skills (e.g., SQL, Python or R). Proficiency in SPSS is desirable, but not essential. Proficiency in visualisation tools (e.g. Power BI, Tableau). Experience managing or working with cloud-based data infrastructure. Strong communication and storytelling skills, with the ability to convey insight clearly to non-technical audiences. Experience working cross-functionally More ❯

insight communication. Strong technical and data modelling skills (e.g., SQL, Python or R). Proficiency in SPSS is desirable, but not essential. Proficiency in visualisation tools (e.g. Power BI, Tableau). Experience managing or working with cloud-based data infrastructure. Strong communication and storytelling skills, with the ability to convey insight clearly to non-technical audiences. Experience working cross-functionally More ❯

insight communication. Strong technical and data modelling skills (e.g., SQL, Python or R). Proficiency in SPSS is desirable, but not essential. Proficiency in visualisation tools (e.g. Power BI, Tableau). Experience managing or working with cloud-based data infrastructure. Strong communication and storytelling skills, with the ability to convey insight clearly to non-technical audiences. Experience working cross-functionally More ❯

insight communication. Strong technical and data modelling skills (e.g., SQL, Python or R). Proficiency in SPSS is desirable, but not essential. Proficiency in visualisation tools (e.g. Power BI, Tableau). Experience managing or working with cloud-based data infrastructure. Strong communication and storytelling skills, with the ability to convey insight clearly to non-technical audiences. Experience working cross-functionally More ❯

insight communication. Strong technical and data modelling skills (e.g., SQL, Python or R). Proficiency in SPSS is desirable, but not essential. Proficiency in visualisation tools (e.g. Power BI, Tableau). Experience managing or working with cloud-based data infrastructure. Strong communication and storytelling skills, with the ability to convey insight clearly to non-technical audiences. Experience working cross-functionally More ❯

/CD) for AI models. • Familiarity with data privacy regulations (e.g., GDPR, CCPA) and their impact on AI and data architecture. • Experience with data visualization tools like Power BI, Tableau, or Looker. • Certifications: Relevant certifications in enterprise architecture, AI, or data science (e.g., TOGAF, Certified Data Management Professional (CDMP), Microsoft Certified: Azure AI Engineer Associate). 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 ❯

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 ❯