426 to 450 of 2,191 Tableau Jobs in the UK

and develop data processes to enable more scalable and accurate reporting. Basic qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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 Matlab Experience using SQL to pull data More ❯

and develop data processes to enable more scalable and accurate reporting. Basic qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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 Matlab Experience using SQL to pull data More ❯

ideal for the position. Core Skills: Strong analytical and problem-solving abilities. Expertise in business process modeling and data visualisation tools. Experience with tools such as JIRA, Confluence, Visio, Tableau, Power BI or SQL, as well as familiarity with Agile/Waterfall methodologies. Exceptional communication and presentation skills. Strong Leadership, a self-starter and adaptability to changing business environments. Seniority More ❯

or Consumer Banking Familiarity with Azure (our estate) or other cloud ecosystems Certifications such as CDMP , Azure/AWS Data Engineer Knowledge of data visualisation tools like Power BI, Tableau, or Looker Ready to architect customer data future? Apply today and make your mark where it matters. #J-18808-Ljbffr More ❯

design and development of technology-based products •Experience working with technical architecture and owning technical writing Experience in data analysis, data modelling, and data visualisation tools (e.g. SQL, Excel, Tableau, PowerBI etc.). Willing to learn database schemas, perform data manipulation tasks such as data cleaning, transformation and aggregation •Ability to facilitate end-to-end delivery, from research, solution options More ❯

quickly and under pressure to support our management teams You must have advanced Excel capabilities but additionally knowledge of the following software is an advantage: SQL, Power BI, Python, Tableau and R. You must be able to demonstrate effective communication and interpersonal skills Benefits of the role? 35 days holiday Flexi-time Employer pension contribution of 6% Various other benefits More ❯

skills in pivot tables, data manipulation, and visualisation. Solid working knowledge of SQL for querying and managing relational databases. Hands-on experience with automation and BI tools such as Tableau, Power BI, and BigQuery. Strong numerical and analytical capabilities, with a problem-solving mindset. Excellent communicator with strong interpersonal awareness; able to collaborate effectively across both technical and non-technical More ❯

role (e.g. analytics, data science, engineering). Familiarity with cloud platforms (GCP preferred). Experience with CI/CD pipelines and version control. Proficiency in data visualisation tools (e.g. Tableau, PowerBI). Exposure to tools like DBT, Apache Airflow, Docker. Experience working with large-scale datasets (terabyte-level or higher). Excellent problem-solving capabilities. Strong communication and collaboration skills. More ❯

role (e.g. analytics, data science, engineering). Familiarity with cloud platforms (GCP preferred). Experience with CI/CD pipelines and version control. Proficiency in data visualisation tools (e.g. Tableau, PowerBI). Exposure to tools like DBT, Apache Airflow, Docker. Experience working with large-scale datasets (terabyte-level or higher). Excellent problem-solving capabilities. Strong communication and collaboration skills. More ❯

build on experience in: Data analysis, business intelligence, or related reporting work Using SQL or Python to extract and manipulate data Creating visual dashboards with BI tools such as Tableau or Power BI Communicating insights clearly to both technical and non-technical audiences Managing multiple tasks while collaborating to meet shared goals A background in a relevant subject such as More ❯

build on experience in: Data analysis, business intelligence, or related reporting work Using SQL or Python to extract and manipulate data Creating visual dashboards with BI tools such as Tableau or Power BI Communicating insights clearly to both technical and non-technical audiences Managing multiple tasks while collaborating to meet shared goals A background in a relevant subject such as More ❯

written communication skills. Prior exposure toCollibraor similar data governance tools is highly advantageous. Desirable Skills Experience supportingECB onboarding and regulatory changeinitiatives. Knowledge of data visualisation tools such asPower BI,Tableau, orQlik. Exposure to SQL, Python, R, or other data analysis/engineering tools. Awareness of data-related compliance trends and emerging regulatory frameworks. #J-18808-Ljbffr More ❯

Services Context: Experience supporting finance, fund accounting, or loan operations teams within a financial services firm. Reporting Prowess: Strong Excel skills and familiarity with reporting tools like Power BI, Tableau, or similar. Exceptional Communication: The ability to clearly and confidently explain complex technical issues to non-technical users and translate business needs into technical requirements. Problem-Solving Mindset: You're More ❯

ambition to thrive in the iGaming or online entertainment space. You will be excited to work with: SQL or Python for data extraction and analysis BI tools such as Tableau, Power BI, or similar for reporting and visualisation Cross-functional teams including product, marketing, and user experience Multiple workstreams in a fast-moving environment You may have a degree in More ❯

Analytics, Data Science, or related STEM fields. At least four years of experience in data management concepts like data quality, sampling, and modeling. Experience with data visualization tools like Tableau or Qlik Sense. Experience analyzing financial datasets and understanding financial market concepts. Proficiency in Data Profiling/Analysis using Python, R, or SQL. Ability to communicate results clearly using data More ❯

fraud, and payment fraud Strong skills in: SQL – complex queries and data extraction Python – for analysis, automation, and model development Data visualisation tools such as Power BI, Metabase, or Tableau Statistical methods , including regression and hypothesis testing Basic understanding of machine learning as applied to fraud detection Ability to analyse anomalies, identify trends, and convert findings into prevention strategies Excellent More ❯

fraud, and payment fraud Strong skills in: SQL – complex queries and data extraction Python – for analysis, automation, and model development Data visualisation tools such as Power BI, Metabase, or Tableau Statistical methods , including regression and hypothesis testing Basic understanding of machine learning as applied to fraud detection Ability to analyse anomalies, identify trends, and convert findings into prevention strategies Excellent More ❯

and time series forecasting. Data Pipelines : Experience in building and maintaining efficient data pipelines to support data science initiatives. Data Visualization : Expertise in using visualization tools (e.g., Power BI, Tableau, or matplotlib) to present complex data insights. End-to-End Project Delivery : Proven experience taking a data science project from concept to deployment, including model evaluation and ongoing monitoring. Familiarity More ❯

findings without jargon. Comfortable working in a fast-paced environment with changing priorities and a high degree of autonomy. Nice to Have: Experience with tools such as Power BI, Tableau, Looker or similar visualisation platforms. Background in international payments, FX, or financial services. Familiarity with compliance-focused datasets (e.g. KYC, onboarding, fraud monitoring). Due to the high amount of More ❯

Skills and Experience Public sector experience Knowledge of cloud platforms (IBM Cloud, AWS, Azure) Experience with big data frameworks (Apache Spark, Hadoop) Data warehousing and BI tools (IBM Cognos, Tableau) Additional Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and Consulting #J-18808-Ljbffr More ❯

or Consumer Banking Familiarity with Azure (our estate) or other cloud ecosystems Certifications such as CDMP , Azure/AWS Data Engineer Knowledge of data visualisation tools like Power BI, Tableau, or Looker Ready to architect customer data future? Apply today and make your mark where it matters. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time More ❯

big data tools (Hadoop, Spark, Kafka) Knowledge of integrating ML models and AI into data platforms Industry certifications (e.g. CDMP, AWS, Azure) Experience with data visualisation tools (Power BI, Tableau, Looker) This role offers: A genuine opportunity to shape and influence data architecture across the business, while working alongside senior leadership and subject matter experts. You'll be joining an More ❯

performing regular data audits and troubleshooting issues to promote confidence in a single source of truth. Design interactive dashboards and reports that track our performance, using relevant tools (e.g., Tableau, Power BI, Qlik). Use data visualisation best practices to present complex data in a clear and personalised manner for partners. Maintain close working relationship with IT teams to help More ❯

values and initiatives, and translates those into everyday practices. BASIC QUALIFICATIONS - 5+ 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to More ❯

retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs - Experience with SQL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience in the data/BI space - Knowledge of data warehousing and data modeling PREFERRED QUALIFICATIONS - Master's degree in statistics, data science, or an equivalent More ❯