26 to 50 of 744 Visualisation Jobs in the UK excluding London

data warehousing, data modelling, and schema design. Technical Skills: Proficiency in SQL. Strong experience with Google Cloud Platform (GCP) and BigQuery. Experience with data visualization tools, particularly Power BI. Strong understanding of API integrations. Solid understanding of data privacy regulations (GDPR and other data capture regulations). Stakeholder Management: Proven More ❯

would love you to have: Strong analytical experience in the use of MS Office Applications (Excel and Powerpoint), Programming Languages (Python, SQL, R) and Visualisation Tooks (such as Tableau and Power BI) Excellent communication skills with the ability to interpret complex data and translate this to business stakeholders in a 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 More ❯

5+ years) in a data science role, preferably in the retail or e-commerce sector. Strong proficiency in Python or R, SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and More ❯

highlighting trends. Actively contribute to the ongoing development of the analytics capabilities of the business. Essential Skills Proficient with Power BI or another similar visualisation tool. Experience supporting a business function with data analysis to aid decision making. Excellent analytical and problem-solving mindset. Comfortable working with large data sets. More ❯

languages such as Python or R; knowledge of is R an advantage. -Experience with SQL and working knowledge of relational databases. -Proficiency with data visualisation tools and techniques. -Experience with AWS is a plus. -Strong problem-solving and critical-thinking abilities. -Excellent communication and presentation skills. -Ability to manage multiple More ❯

machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau). Solid grasp of statistics, experimentation design, and causal inference techniques. Excellent communication and stakeholder management skills More ❯

statistics, or another quantitative field. Experience with SQL for data manipulation and querying. Experience in creating dashboard reports to visualize data insights. Knowledge of visualization tools to effectively present data findings. Hands-on experience with Power BI for building interactive reports and dashboards. More ❯

and communication skills with the ability to collaborate with cross-functional teams and present complex technical information to non-technical stakeholders. Experience with data visualization tools such as Tableau or Power BI is a plus. AWS certifications (e.g. AWS Certified Big Data - Specialty) is a plus. More ❯

queries) Proven experience in Database Administration, including working with procedures, scripts, and table views Solid hands-on experience with ETL tools Familiarity with data visualisation tools (e.g., Superset, Tableau, Power BI) Experience with source control tools such as Bitbucket Familiarity with collaboration tools like Jira and Confluence Comfortable working in More ❯

we looking for? 2+ years’ experience in a similar role. Strong analytical mindset with a passion for uncovering insights. Skilled in SQL and data visualisation (Looker Studio, Tableau, Power BI). Familiarity with Amplitude/Google Analytics/Adobe Analytics. Strong Excel/Google Sheets skills. Experience in commercial analysis More ❯

minimum of 3-5 years in data analysis roles. Proficiency in data analytics tools such as SQL, Python, R, and SAS. Experience with data visualization tools like Tableau. Strong understanding of AML/KYC regulations and practices. Excellent analytical and problem-solving skills, with the ability to interpret complex data More ❯

project management skills, with the ability to manage multiple priorities and deadlines. Proficiency in data analysis tools such as Microsoft Excel Experience with data visualization tools. The Benefits Our customers deserve the best and the same applies to our people. We’ll support you with all of the technology, training More ❯

we make Demonstratable critical thinker who can make & communicate decisions clearly Familiarity with cloud computing platforms like AWS, Azure or GCP Experience with data visualization tools (e.g. Looker, Power BI) with a strong ability to create visually compelling & informative dashboards & reports Strong understanding of data engineering & data warehousing concepts Excellent More ❯

Power Platform, particularly Power Apps, Power Automate and Dataverse. Experience in using cloud computing services such as AWS, GCP or Azure. Experience in data visualisation tools such as Looker, Tableau or Qlik. Experience in defining and documenting business requirements for the procurement of data and tooling. Desirable but not essential More ❯

a related field. Experience with data analysis and process optimization is highly desirable. Technical Skills: Strong proficiency in Microsoft Excel (including advanced functions), data visualization tools (e.g., Tableau, Power BI), and JDE, Webfor, Webcli would be desirable. Analytical Skills: Excellent analytical, problem-solving, and critical-thinking skills. Ability to interpret More ❯

Criteria You'll need to be able to demonstrate the following: Experience and Skills Strong technical skills including SQL, Python/R, and data visualisation tools. We are open to exploring and incorporating other relevant tools and technologies as needed Excellent communication skills with the ability to explain complex analyses More ❯

CI/CD pipelines, or infrastructure as code (e.g., Terraform). Exposure to AI/ML-based automation or analytics tools. Experience with data visualization and reporting tools such as Power BI, Tableau, or similar alternatives to create insightful dashboards and reports. BENEFITS Competitive Salary. Company Laptop supplied. Bonus Scheme. More ❯

tech and methods. Desirable; Previously worked in an agile working environment, with a focus on iterative and collaborative project delivery. Have worked with data visualisation tools e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's in a quantitative field such as Computer Science More ❯

business intelligence concepts. Knowledge of SQL for data manipulation and reporting. Also, data warehousing concepts and tools such as Big Query. Familiarity with data visualisation tools (e.g., Looker Studio, Power BI and Tableau) Experience of working with banking products such as Mortgages, Loans, Deposits, Foreign Exchange, Bonds and Interest Rate More ❯

of self-serve analytics. Improve data quality across digital platforms, ensuring accurate reporting and actionable insights. Apply advanced analytics techniques, including SQL and data visualisation tools , to enhance reporting and business intelligence. What are we looking for? 2+ years’ experience in digital analytics, e-commerce performance, or a related field. More ❯

Lead and grow a multi-disciplinary team including BI analysts, data scientists, and AI developers Shape data infrastructure and analytics capabilities from warehousing to visualisation (Power BI, Tableau, etc.) Develop and deploy ML and AI solutions across key business areas (including Generative AI and Computer Vision) Build frameworks for data More ❯

problem-solving skills Excellent attention to detail and a data-driven mindset Strong communication and interpersonal abilities Proficiency in Microsoft Excel; experience with data visualisation tools such as Power BI or Tableau is a plus Ability to manage multiple tasks and prioritise effectively A proactive approach with a strong willingness More ❯

5+ years) in a data science role, preferably in the retail or e-commerce sector. Strong proficiency in Python or R, SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and More ❯

business problems Analytics Framework & Playbooks: Co‑create repeatable playbooks for common analytics problems (budget forecasting, customer segmentation, price/volume analysis), including code templates, visualization standards, and deployment guidelines. Insight Packaging & Storytelling: Architect and implement dashboards, reports, and narrative templates that translate complex model outputs into concise, actionable recommendations using More ❯