101 to 125 of 1,656 Visualisation Jobs in England

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 ❯

machine learning and statistical analysis. Proficiency in Python, R, or similar programming languages. Strong SQL skills for data manipulation and querying. Experience with data visualisation tools such as Tableau or Power BI. Experience with cloud platforms (e.g., AWS, Azure, GCP). Excellent problem-solving and communication skills. If this sounds 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 ❯

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 ❯

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 ❯

data architecture for new product launches. Minimum 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 in Statistical Analysis packages such as R, SAS 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 ❯

Are you a detail-oriented Data Analyst with expertise in Python, SQL, and data visualization tools? A client of Sagacity is looking for a skilled professional to join their team and help transform raw data into actionable insights. This remote role requires proficiency in analytical programming languages such as Python 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 ❯

into the product & solutions strategy. What we'll need from you Highly analytical & creative mindset. Strong communication, planning, and organizational skills. Experience with data visualization tools (e.g., Tableau). Proficiency in Excel. Ability to manipulate data using SQL and/or Python is preferable. Experience with low-code Extract Transform More ❯

and reporting workflow, information and report distribution. Good working practice designing data collections by using Kimball methodology. Non-technical Practical understanding of the Data Visualisation techniques and principles. High-level understanding of the data management and its impact on organisation's bottom line. Stakeholder management and interpersonal skills to understand 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 ❯

to apply statistical and ML techniques. BASIC QUALIFICATIONS - 3+ 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 in Statistical Analysis packages such as R, SAS and More ❯

dependencies on manual data pulls etc. BASIC QUALIFICATIONS 3+ 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 in Statistical Analysis packages such as R, SAS and More ❯

or data warehouse and scripting experience (Python) to process data for modeling. - Experience with data modeling, warehousing and building ETL pipelines. - Experience with data visualization using Tableau, Quicksight, or similar tools. - Experience in the data/BI space. - Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance More ❯

experience in global financial institutions. Proven background in data architecture management. Strong knowledge of database technology, data warehousing, and data governance. Proficiency with data visualization tools like Tableau or Power BI. Excellent communication and collaboration skills. Master's degree in Data Architecture, Information Management, Computer Science, Statistics, or related field More ❯

through data centralisation and enhanced reporting. This role will leverage systems including the new Contract Lifecycle Management (CLM) system and Microsoft data automation and visualisation platforms to support strategic initiatives. The role will utilise CLM, Excel, SharePoint, and other internal solutions such as the WiseEnergy Asset Management System (AMP) to More ❯

regulations and standards, including security and data privacy requirements. Contribute to the design, development, validation, and maintenance of dashboards (e.g., Power BI) for data visualization and reporting purposes. Validate the accuracy of data presented in dashboards by comparing it against source systems and expected results. Conduct performance testing for dashboards More ❯

or at least coaching, more junior team members. Strong proficiency in data analysis tools and techniques, including knowledge & experience of data warehousing and data visualisation tools. Strategic thinking and the ability to gather, understand & interpret business requirements, aligning insights initiatives with overall business objectives. Excellent communication and interpersonal skills, with More ❯

a fast-paced environment. PREFERRED QUALIFICATIONS 1. Experience using SQL to extract data from a database or data warehouse and building ETL pipelines 2. Visualization tools experience: Quicksight/Tableau or similar tools 3. Scripting Experience: R/Python/C++ 4. (Optional) Experience with AWS solutions (S3, Athena, Sagemaker More ❯

Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both technical and non-technical stakeholders More ❯

Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both technical and non-technical stakeholders More ❯

Data Query coding (e.g., SQL, Python) Business Intelligence & Reporting Tools (e.g., Power BI) Good awareness of common Data Analytics techniques, together with advanced Data Visualisation Skills Strong communications and presentation skills - able to communicate complex data analysis to a non-technical audience in a simple way Strong collaboration skills Fluency More ❯

identifying relevant data sources and summarising to provide the insight as identified. Proficiency in Python and/or R a bonus. Proficiency with data visualisation software (e.g. Power BI) a bonus. Good experience of using Excel and MS Office. Ability to resolve data-related problems. Ability to collaborate and work More ❯