1 to 25 of 947 Tableau Jobs in the UK

of the Data Analyst Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related Proficient in SQL and data visualisation tools such as Power BI or Tableau Practical experience in developing data warehouse solutions as part of a broader data architecture Exposure to Microsoft Fabric implementations, including Azure Data Factory, SSIS, or SSRS Advanced Excel skills, including 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 ❯

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 ❯

a relevant technical field (e.g., Data Science, Engineering, Computer Science); certifications in cloud or data tools are advantageous. Experience in Python, SQL, and data visualisation tools (e.g., Power BI, Tableau); experience with cloud platforms (AWS, Azure) is desirable. EV Charging Knowledge Charge Point Management Systems Data Analysis Stakeholder Engagement Root Cause Analysis Problem Solving Benefits & ways of working 💰 Financial benefits 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 ❯

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 ❯

libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow). Strong experience with SQL and data manipulation across large datasets. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir Foundry) is a plus. Excellent problem-solving skills, eagerness to learn, and ability to work in More ❯

years of experience in data analysis, data warehousing, or a related field - *Certifications*: - Teradata certification (e.g., Teradata 14/SQL) is a plus *Preferred Skills:* - *Data visualization tools* (e.g., Tableau, Power BI) - *Programming languages* (e.g., Python, R) - *Data governance and data quality tools* (e.g., Informatica, Talend) - *Agile development methodologies* - *Experience working in a regulated industry* (e.g., financial services More ❯

preferred but not mandatory. • Familiarity with additional Oracle Fusion tools like HCM Extracts, Financial Analytics, and Oracle Data Visualisation. • Experience with reporting tools outside Oracle Fusion (e.g., Power BI, Tableau) for comparative data visualisation skills. • Knowledge of cloud computing and understanding of Oracle Autonomous Datawarehouse (ADW), Oracle Data Integrator (ODI) market place and Oracle Cloud Infrastructure (OCI) would be beneficial. More ❯

exposure to 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.Skilled in team 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 ❯

scikit-learn, PyTorch, TensorFlow, Statsmodels). Solid foundation in SQL and data wrangling across large, complex datasets. Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly). Familiarity with cloud-based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus. Exceptional ability to translate technical results into clear, actionable 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 ❯

as Snowflake, Azure Synapse, BigQuery, or Redshift. Deep understanding of Data Vault, Kimball, and dimensional modelling techniques. Experience designing data marts and semantic layers for BI tools (Power BI, Tableau, Looker). Familiarity with analytics engineering tools including dbt, Airflow, and Git for version control. Excellent collaboration and communication skills, with strong attention to detail and data quality. Desirable: Exposure 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 ❯

business problems Strong technical expertise across a number of technologies and techniques, covering at least 3 of the following Data Manipulation and ETL Data visualisation technology such as PowerBi, Tableau or Qlik Statistical analysis, AI and machine learning techniques Simulation and mathematical optimisation techniques Hands-on coding experience preferably with SQL, Python or R Cloud development expertise, preferably Microsoft Azure 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 ❯

distributed data technologies. Experience using data visualization tools is a plus; · Experienced with Excel to aggregate, model, and manage large data sets; · Familiar with Microsoft Power BI and or Tableau skills, including ability to transform data, develop calculations and measures, develop charts and tables, as well as develop interactive dashboards/reports; · Proficient in PowerPoint and Word; · A science or 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 ❯