51 to 75 of 1,683 Visualisation Jobs in England

such as Python. Experience with cloud platforms such as Azure. Strong understanding of data modelling, data warehousing, and data architecture principles. Experience with data visualization tools such as Power BI. Strong analytical and problem-solving skills with a collaborative team-oriented mindset. Please note that you will be required to More ❯

analytical skills with the ability to troubleshoot and resolve data issues. Communication: Excellent communication skills for collaborating with technical and non-technical teams. Data Visualization: Experience with tools like Tableau or Power BI. Power BI Skills: Knowledge of DAX, M, and Power Query for data tables and ingestion. Data Structures More ❯

background in a STEM-related field. Experience delivering data-driven solutions in a consulting or technical role. Proficiency in SQL, Python, R, and data visualisation tools. Familiarity with cloud platforms such as AWS and Azure. Ability to analyse and interpret large datasets for business impact. Strong problem-solving skills and More ❯

with the Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.). Bonus skills include: Familiarity with Git. Experience with data visualization tools (Tableau, Looker, PowerBI, or equivalent). Knowledge of DBT. 2-5 years of experience in consumer credit risk or collections within financial services, utilities More ❯

presentation skills. Desired Skills: Experience with containerization technologies (e.g. Docker Kubernetes). Experience with data streaming platforms (e.g. Kafka Kinesis). Experience with data visualization and business intelligence tools. Experience with Agile development methodologies. AWS Certifications (e.g. AWS Certified Data Analytics - Specialty AWS Certified Solutions Architect) About Capgemini Capgemini is More ❯

space. Have excellent understanding of promotional, marketing, operations analytics methodologies and ability to present data insights to non-technical stakeholders Have experience in data visualization tools (e.g., Tableau, Power BI, Excel) and advanced analytics tools (e.g., SQL, Python, R) Have a degree in a relevant field (e.g., Data Science, Statistics More ❯

and some experience of at least one scripting language, such as Python or R, is essential, along with experience using business intelligence and data visualisation tools like Tableau, Power BI, or similar platforms. A solid working knowledge of statistical techniques is required, as well as the ability to work with More ❯

customers Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data More ❯

customers Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data More ❯

customers Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data More ❯

plans, 3-year strategy and outlook. 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 in Statistical Analysis packages such as R, SAS and More ❯

tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of machine learning algorithms, statistical modelling, and AI-driven analytics. Data analysis, management, and visualisation expertise. Proactively manages conflicts within their workstack, clearly communicating any delays and managing expectations effectively. If you are excited about this role but your experience More ❯

What will you need to succeed? Strong SQL skills (with a few years of applied experience). Experience with at least one BI/visualisation tool (e.g. Looker/Power BI/Tableau etc.) Knowledge of ETL/ELT tools (e.g. dbt/Fivetran etc.) An understanding of Data Governance More ❯

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 ❯

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 ❯

of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random 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 ❯

data and metrics to draw business insights - Proficiency in SQL, ETL management, Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualisation tools such as Tableau experience PREFERRED QUALIFICATIONS - MBA or Master's degree in Computer Science, Engineering, Statistics, Mathematics or related field - Extensive experience in a More ❯

productivity and quota models according to strategic objectives. Build automated reports and dashboards that show trends and progress against business priorities. Collaborate with data visualization teams on producing actionable and accurate reporting that highlights business trends and inefficiencies. Seamlessly work with sales leaders to integrate KPI's, Metrics that Matter 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 ❯

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 ❯

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 ❯