1 to 25 of 130 Remote Tableau Jobs

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 ❯

on SAP Datasphere, SAP HANA Cloud Modelling, SAP BW4HANA, SAP Analytics Cloud, SAP Embedded Analytics, and S/4HANA business processes. Proficiency in frontend tools such as Power BI, Tableau, or similar platforms. Strong understanding of data warehousing concepts, data modelling, and ETL processes. Strong understanding of SAP Datasphere and basic knowledge of SAP Business data cloud and Azure Databricks More ❯

identify solutions and implement effective strategies • Strong analytical and quantitative skills, with proficiency in statistical analysis and data visualization tools. • Experience with analytics tools such as SQL, Python, and Tableau • Excellent communication skills with the ability to convey complex analytical concepts to both technical and non-technical stakeholders • Have worked in an agile development environment, with a focus on iterative 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 ❯

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 ❯

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 ❯

to machine learning concepts or blockchain architecture Coursework or personal projects involving data analysis, AI/ML, or distributed systems Knowledge of data visualisation tools like Power BI or Tableau Benefits Fully funded, accredited qualifications Bespoke technical and business skills training A health cash plan 26 days annual leave Regular mentoring and personal development Access to an online learning portal More ❯

to learn one or more coding language (e.g. SQL, Python) to extract, manipulate and summarise data from large databases. Experience with business intelligence/data visualisation tools (such as Tableau, Thoughtspot, PowerBI) Practical database skills with focus on data extraction and transformation into actionable insights. A logical thinker with a good analytical background. Used to working and delivering under pressure. More ❯

degree in Computer Science, Information Technology, or related field. Experience with the following: PowerBI Governance Framework PowerBI vendor and stakeholder management Ideally, you will also have: Experience with Snowflake, Tableau, and other BI tools is a plus. Knowledge of Specialty Insurance domain is advantageous. What we look for You are detail-oriented, proactive, and thrive in a fast-paced environment. More ❯

Analyst should have: A degree or equivalent qualification in a relevant field such as data analytics, statistics, or computer science. Proficiency in data visualisation tools such as Power BI, Tableau, or similar. Strong analytical and problem-solving skills. Experience with SQL/DAX or similar database query languages. An ability to communicate complex data insights in a simple and effective More ❯

Excel (modelling, pivot tables, macros) SQL for data extraction and manipulation Experience with coding or scripting (e.g. Python, R) is advantageous. Familiarity with data visualisation tools (e.g. Power BI, Tableau) are desirable. Excellent analytical and problem-solving skills. Strong written and verbal communication skills, with the ability to engage confidently with senior stakeholders. Self-motivated, well-organised, and able to More ❯

of SQL experience with experience querying large volumes of transactional data Advanced level of proficiency in Python in data manipulation and analysis Experience working with visualization software such as Tableau and/or PowerBI Experience in MS Office, including proficiency with MS Excel Preferred Qualifications of the Principal Data Scientist Experience communicating and presenting complex technical concepts to non-technical More ❯

requirements. WHAT YOU WILL BRING TO THE ROLE: Technical Skills (Essential): A passion for data reporting and analytics, with experience using data visualization tools (e.g., Google Data Studio, Looker, Tableau, Power BI). Strong Excel skills, with exposure to data querying methods (SQL etc.) Familiarity with collaboration and productivity platforms (e.g., Slack, Microsoft Suite, Google Drive, SharePoint). An enthusiasm More ❯

Excel and data handling skills (SQL knowledge a plus) A methodical, detail-oriented approach to working with large datasets Some familiarity with data visualisation tools (e.g., Power BI or Tableau) is desirable Eager to learn, with a genuine interest in using data to solve business problems Quantitative degree from a leading university is essential You'll be based in London More ❯

data-focused environments. Familiarity with data modelling, ETL processes, and pipeline design. Experience with cloud platforms (AWS, Azure, GCP) and data warehousing tools. Exposure to BI tools (Power BI, Tableau, Qlik). Understanding of version control (e.g., Git) and collaborative development workflows. Experience or knowledge of Foundry (Palantir) is a plus. Excellent communication, documentation, and stakeholder management skills. Carbon60, Lorien More ❯

Bank products such as Trade Finance, Loans and SWIFT payments. Experience with analytical or database querying software such as SQL and Python. Experience with data visualisation tools such as Tableau and PowerBI The ability to identify wider business impacts or opportunities across key outputs and processes. Ability to work unaided on projects and manage their own time to meet deadlines. More ❯

Bank products such as Trade Finance, Loans and SWIFT payments. Experience with analytical or database querying software such as SQL and Python. Experience with data visualisation tools such as Tableau and PowerBI The ability to identify wider business impacts or opportunities across key outputs and processes. Ability to work unaided on projects and manage their own time to meet deadlines. More ❯

understanding of how data is stored and structured, and how this can be analysed and manipulated Experience of creating reporting structures from scratch in a BI tool, i.e. PowerBi, Tableau, Domo etc. Experience working in a cross-functional capacity, partnering with key business stakeholders (commercial business partners and business leaders), translating data in a way they can understand, with actionable More ❯

advanced analytics and experimentation to embed data-driven decision-making across the business. Technical proficiency: Expertise in data analysis tools, such as SQL, Excel and data visualisation tools (e.g. Tableau) and history of reporting on and analysing financial metrics. Experience with Python a plus; Data Science Collaboration: Demonstrated ability to collaborate with Data Science teams on the design, evaluation, and More ❯

Experience of using SQL to pull and analyse customer and transactional level data from a relational database (Essential) Experience of using a data visualisation tool, such as Power BI, Tableau, or similar (Essential) Proven advanced Excel (Essential) Experience of Alteryx or similar data analytics tool (Strongly Preferred) Experience of managing & mentoring a team (Strongly Preferred) Customer data architecture knowledge and More ❯

We’re looking for someone who: ⚙️ Has 1-4 years’ experience in data science or analytics 🐍 Is confident using Python and SQL 📊 Can visualise data in Power BI or Tableau 💡 Communicates complex insights clearly to non-technical teams 🔥 Brings curiosity, creativity, and a genuine passion for sport Benefits 🏡 Hybrid Working: London HQ, with flexible structure 📈 Career Growth: Learning and development More ❯

We’re looking for someone who: ⚙️ Has 1-4 years’ experience in data science or analytics 🐍 Is confident using Python and SQL 📊 Can visualise data in Power BI or Tableau 💡 Communicates complex insights clearly to non-technical teams 🔥 Brings curiosity, creativity, and a genuine passion for sport Benefits 🏡 Hybrid Working: London HQ, with flexible structure 📈 Career Growth: Learning and development More ❯

BI or analytics functions (ideally in tech, SaaS, or payments). Strong technical skills in SQL, data modelling, and ETL . Proficiency with BI tools such as Power BI, Tableau, or Looker. Excellent communication and stakeholder management skills. Strategic thinker with hands-on delivery experience. The client is looking to move quickly so if you are interested please follow up More ❯

security frameworks. Desirable Skills: Familiarity with orchestration tools like Airflow, dbt, or Prefect . Experience with CI/CD and DevOps practices for data pipelines. Exposure to Power BI , Tableau , or other visualisation tools. Background in financial services or other regulated environments. Why Join Work on transformational data projects using modern tech stacks. Be part of an award-winning consultancy More ❯

ETL design and data warehousing principles. Proficiency working with data in multiple formats (JSON, XML, CSV, etc.). Experience with BI or reporting tools such as Power BI or Tableau . Knowledge of data governance, security standards and compliance requirements. Excellent analytical and problem-solving abilities with keen attention to detail. Strong communication skills to liaise effectively with both technical More ❯