1 to 25 of 105 Visualisation Jobs in the East Midlands

analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache More ❯

in a numeric subject (Mathematics, Statistics, etc.) or equivalent Experience working within credit risk/debt recovery industry Working knowledge of Python and/or R Experience using data visualisation tools such as Tableau or PowerBI Experience with legal systems such as Liberate Disclosure will be required in the event that a position is offered. Financial checks will be required More ❯

About the role North Northamptonshire Council are working to modernise their data management and visualisation processes. We are working to deliver our data analytics strategy. This role will support the design and delivery of the data warehousing, data infrastructure and (where required) the migration of existing data sources (data pipeline and Extract Transform Load (ETL) processes), the primary objective is … ETL tools such as MS Azure Data Factory and Databricks Design and manage a standard access method to both cloud and on-premise data sources for use in data visualisation and reporting (predominantly using Microsoft Power Bi) Own and build the security model to ensure access is granted based on least privilege Support NNC teams to adopt new processes and More ❯

and management Track record of managing large-scale data and analytics platforms and leading cross-functional teams Robust knowledge of data management practices, including data warehousing, ETL and data visualisation tools (e.g., Power BI, Tableau, Qlik) Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data management solutions Understanding of data governance principles, including security, privacy and regulatory compliance More ❯

and management Track record of managing large-scale data and analytics platforms and leading cross-functional teams Robust knowledge of data management practices, including data warehousing, ETL and data visualisation tools (e.g., Power BI, Tableau, Qlik) Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data management solutions Understanding of data governance principles, including security, privacy and regulatory compliance More ❯

technology and market trends Eligibility 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 to non-technical audiences An More ❯

oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working in a fast-paced, evolving environment (Essential) Statistical Methods Knowledge (Desirable) Experience using Salesforce and data visualisation tools (Desirable) Profile Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential) 3+ years' experience in the Financial Services Industry (Essential) Proficiency in Excel (Essential) Proficiency in … oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working in a fast-paced, evolving environment (Essential) Statistical Methods Knowledge (Desirable) Experience using Salesforce and data visualisation tools (Desirable) Job Offer Opportunity to join a rapidly expanding financial services company Opportunity to influence and enhance insight & analytics strategy 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 ❯

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 ❯

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 tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data tools like Hadoop, Spark, Kafka. Familiarity with AWS More ❯

Strong 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. Analytical and problem-solving skills. Experience with social media analytics and user behavior. Knowledge of big data technologies like Hadoop, Spark, Kafka. Understanding of AWS machine More ❯

understanding how teams manage data infrastructure in agile, collaborative ways Learning how to work effectively in fast-paced, agile environments as part of multidisciplinary teams Building confidence in using visualisation tools (such as Power BI or QuickSight ) to communicate insights from data By the end of the programme, you'll have the technical skills, commercial awareness, and collaborative mindset needed More ❯

Data Warehouse Engineer Newark, Full Time, Permanent, Hybrid working available Salary up to £38,000 per annum Our award-winning client, based in Newark, Nottinghamshire is seeking a highly skilled Data Warehouse Engineer to join their Data and Analytics team. More ❯

the development + delivery of Data Analytics solutions that support strategic decision-making for clients. Managing data solutions projects, including: data strategy, data sourcing, data wrangling, data modelling, data visualisation + data dashboards. Must have strong Data Analytics experience including: SQL and data visualisation tools (PowerBI, Tableau or Looker). Building interactive data dashboards and reports using Power BI or More ❯

initiatives across the business Requirements for the successful Data Analyst to include: Proven experience in a data analysis or MI reporting role Strong skills in Excel, SQL, and data visualisation tools (e.g., Power BI or Tableau) High attention to detail with excellent problem-solving abilities Confident communicator, able to explain complex data to non-technical stakeholders Experience in financial services More ❯

QuickSight. Understanding of data modeling, ETL, and warehousing concepts. 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 ❯

Developing, monitoring & maintaining AI-driven processes within the business Supporting with monitoring & maintaining productionised models, identifying, and developing long-term processes, frameworks, tools, methods, and standards. Developing ML models, visualisation tools & analytics to support the business strategy. Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems. Managing relationships Engaging More ❯

and AML), Swift, CHAPS, Bacs, Faster Payments, ESG Market Reference Data • Project Management: Agile methodologies (Scrum, Kanban), Waterfall, Project Planning & Scheduling, , Risk Management, Issue Tracking, Reporting & Communication. • Data Analysis & Visualization: SQL, Python, Tableau, Power BI, Excel. • Tools: JIRA, Confluence, MS Office tools, BPMN, UML, Lucid chart, MS Visio, Miro. • Communication & Leadership: Excellent communication, interpersonal, and presentation skills. Stakeholder Engagement: Great More ❯

listen in order to identify valuable data use cases. Then design, plan and develop your analytics projects and share insights following GamesLab's quality standards/procedures and Data Visualisation best practices. Collaborate with our User Research Team to ensure reliable, clear and impactful data analysis that benefits the Game Studios and internal teams. Help the team address new promising More ❯

analysis. Demonstrated success with performing ad-hoc data analysis, using results to reach conclusions and communicating results in a clear manner (written, visual and in person) Experience with data visualization tools, such as Tableau, highly preferred especially Tableau Desktop, Tableau Online, Tableau Bridge & Tableau Prep Builder Programming experience: C/C++, Python, R, Perl preferred. Scripting skills: Bash, tcsh preferred. More ❯

We are looking for a Senior Data Analyst to take our client relationship management system, 360 Lifecycle, even further ahead of its competitors. We are actively developing new products and upgrading our existing applications, using some of the latest web More ❯

SC) to work with sensitive government and defence data. Microsoft Stack Expertise : Excellent hands-on experience working within the Microsoft Stack , including Power BI and Power Platform for data visualization, reporting, and automation. Data Modelling : Proven experience in data modelling for reporting, ensuring the right data structure and relationships for optimal reporting. Advanced Excel Skills : Advanced proficiency in Microsoft Excel More ❯

data enrichment techniques, using data analysis tools (e.g. Power BI Proficient in al Microsoft 365 applications Preferred knowledge of SAP The ability to produce clear graphical representations and data visualisation tools (e.g. Power BI). Ability to work using own initiative and as part of a team. Keen to learn and develop new skills. Flexible and adaptable to change. Leads More ❯

delivering end-to-end data science solutions in a commercial environment. Strong technical expertise in predictive modelling, machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in applying Gen AI tools or techniques is highly desirable. Educated to degree level (2:1 or More ❯

related to sampling, bias, inference and prediction. Ability to solve problems considering all constraints, context and risks. Solid knowledge of R or Python and related packages for data processing, visualisation and analysis. Awareness of techniques for querying and processing large data sets (Spark, SQL) and big data platforms (Azure). Understanding of coding best practices including clean, modular code, reproducibility More ❯