426 to 450 of 5,292 Visualisation Jobs in England

in a data analyst or similar role Proficient in Microsoft Excel (pivot tables, VLOOKUP/XLOOKUP, Power Query, etc.) Hands-on experience with Power BI and Tableau for data visualization Strong analytical and problem-solving skills Understanding of basic statistics and data modelling Excellent communication and presentation skills Attention to detail and commitment to data accuracy More ❯

data engineering, data analysis, or a related field. Strong experience with Google Cloud Platform (GCP) services, particularly BigQuery, Cloud Storage, and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and More ❯

transferrable approaches towards embracing analytics Person specification Qualifications/experience/knowledge Experience in collecting, cleaning, and analysing large datasets from diverse sources to extract actionable insights using data visualisation tools Proficiency in using advanced Excel functions and other data manipulation tools (e.g., SQL and Python) for data cleaning, visualisations, and automation of data processes Extensive experience in creating interactive … and integrating data sets for accurate and comprehensive analysis Proficiency in using common data science Python packages (e.g. Pandas, NumPy, Scikit-learn and Matplotlib) for data manipulation, analysis, and visualisation Familiarity with advanced data science techniques, including machine learning (e.g., K-means), natural language processing (e.g., NLTK or spaCy), and data acquisition techniques (e.g., Selenium) is advantageous. Proficiency in producing More ❯

BI solutions to meet the customers requirement Design and build Proof of Concept (PoC) Qlik Sense apps/Power BI reports Build user friendly, functional, attractive dashboards using data visualisation techniques Conduct training/workshops with customers Act as an escalation point for post go-live support issues Mentor junior members of the team where required Knowledge, Skills & Experience; Certified … Sense would be preferred Strong demonstratable experience of developing, implementing and supporting solutions within Microsoft BI related products Knowledge of SQL querying Data warehousing and data modelling experience Data visualisation skills, using design flair to create attractive and functional dashboards Strong communication skills both written and verbal Analytical mindset and strong problem-solving skills Qlik Administration/Power BI Administration More ❯

your work will directly influence business strategy, growth initiatives, and long-term customer value. Our data warehouse is hosted in Big Query and we use Power BI as our visualisation tool. We move and think fast so its important that you are able to thrive in a fast-paced environment and are happy to roll up your sleeves to do … learn, statsmodels). Advanced SQL skills and experience working with large datasets in modern data environments. Experience working with cross-functional growth or marketing teams. Competent user of data visualisation tools Comfortable working in fast-paced, agile environments with changing priorities. Excellent communication skills with the ability to explain complex topics to non-technical audiences. Experience in e-commerce, subscription More ❯

lead projects from data exploration to insight delivery. Key Responsibilities Define analytical approaches to tackle business challenges Identify and explore relevant data sources Deliver clear, insight-driven storytelling using visualisation tools Analyse marketing campaign performance (MMM, attribution, ROI) Support commercial strategy through segmentation and customer insights What We're Looking For Strong SQL and data visualisation skills (e.g. Tableau, Power More ❯

understanding of financial and strategic KPIs and proficient in creating scalable dashboards that effectively translate business requirements into impactful visuals. Technical Proficiency: Advanced skills in SQL and BI/Visualization tools like Tableau, facilitating data extraction, manipulation, and presentation. Statistical Knowledge: Master the use of cutting-edge statistical methods and tools, providing strategic guidance and recommendations based on sophisticated data … understanding of financial and strategic KPIs and proficient in creating scalable dashboards that effectively translate business requirements into impactful visuals. Technical Proficiency: Advanced skills in SQL and BI/Visualization tools like Tableau, facilitating data extraction, manipulation, and presentation. Statistical Knowledge: Master the use of cutting-edge statistical methods and tools, providing strategic guidance and recommendations based on sophisticated data More ❯

EMR, QuickSight. Understanding of data modeling, ETL, data warehousing. Skills in statistical analysis, machine learning, and programming languages such as Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and big data technologies. Knowledge of data governance and security in AWS. Strong analytical and communication skills. Compensation: This is an equity-only role, offering a 1% stake in the More ❯

lead projects from data exploration to insight delivery. Key Responsibilities Define analytical approaches to tackle business challenges Identify and explore relevant data sources Deliver clear, insight-driven storytelling using visualisation tools Analyse marketing campaign performance (MMM, attribution, ROI) Support commercial strategy through segmentation and customer insights What We're Looking For Strong SQL and data visualisation skills (e.g. Tableau, Power More ❯

maintenance of data systems and pipelines. This apprenticeship provides hands-on experience in managing data infrastructure and ensuring data is accessible, reliable, and secure. You will learn to use visualisation tools such as Google Looker and PowerBI, Program languages such as Python and SQL, Database technologies such as Snowflake and Postgres, and Cloud Technologies such as AWS. APPRENTICESHIP: The Data … Analyst Level 4 apprenticeship programme is a 15 month, plus a 3month end-point assessment. During this apprenticeship you will complete the following modules, data fundamentals, data preparation and visualisation, databases and SQL, Programming for Data Analysis, Data Warehouses, Data Analysis and Machine Learning and Machines Learning in a Cloud Platform. Your experience, skills and knowledge Data Pipeline Development: Assist More ❯

Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL and NoSQL databases, visualization tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS ML services More ❯

Ensure data integrity and optimise data collection and storage processes. Present findings to stakeholders in a clear and concise manner. Ideal Candidate Profile Proficiency in SQL, Excel, and data visualisation tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills with attention to detail. Experience with programming languages such as Python or R is a plus. Ability to More ❯

services like Redshift, Athena, EMR, and QuickSight. Understanding of data modelling, ETL, data warehousing, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS More ❯

Proficiency in AWS analytics tools and data modeling. Skills in statistical analysis, data mining, machine learning, and programming languages like Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and big data technologies. Strong analytical, problem-solving, and communication skills. Understanding of social media analytics and user behavior. Knowledge of data governance and security in AWS. Compensation: This is More ❯

techniques. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with More ❯

minimum of 3 years proven experience in an analytics role. Degree in a relevant field, e.g. Mathematics, Physics, Statistics, Engineering, or Computer Science Strong SQL proficiency. Experience with data visualization and reporting tools, e.g. Tableau or PowerBI. Experience in solving complex commercial problems using advanced data analytics approaches, with a strong understanding of statistics concepts such as multivariate testing and More ❯

tools. Understanding of data modeling, ETL, and warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, and visualization tools. Analytical, problem-solving, and communication skills. Experience with social media analytics and big data technologies. Compensation This is an equity-only position, offering a 1% stake in the company More ❯

Redshift, Athena, EMR, and QuickSight. Knowledge of data modeling, ETL, data warehousing, and statistical/machine learning techniques. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and understanding user behavior. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of More ❯

of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS More ❯

QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, machine learning, and programming languages such as Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS More ❯

Exceptional communication, problem-solving, and presentation skills. Bonus Points For: Knowledge of sustainability strategies, carbon footprint measurement, or environmental policies. Experience with data analytics tools like SQL, Python, or visualisation platforms such as Power BI, Tableau, or Sisense. #J-18808-Ljbffr More ❯

Athena, EMR, and QuickSight. Knowledge of data modeling, ETL, data warehousing, and statistical/machine learning techniques. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL databases, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and understanding user behavior. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of More ❯

Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies such as Hadoop, Spark, Kafka. Familiarity with More ❯

AWS analytics tools: Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, data warehousing. Skills in statistical analysis, machine learning, Python/R/Scala. Experience with SQL, NoSQL, visualization, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS More ❯

QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS More ❯