1 to 25 of 411 Remote Visualisation Jobs

. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications More ❯

Advanced SQL skills with proven ability to manage and analyse large-scale, complex datasets. Experience with database platforms such as SQL Server, Oracle, SAS, or Access. Familiarity with data visualisation tools (e.g. Power BI, Tableau) for insight generation and reporting. Knowledge of AI and Machine Learning models for risk scoring and predictive analytics. Expertise with Financial Crime platforms such as More ❯

Data Science, Statistics, Computer Science, Economics, Mathematics, or a related field. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, or similar). Familiarity with statistical analysis and data modeling techniques. Experience with Python or R for data manipulation and analysis (preferred). Excellent problem-solving More ❯

models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. Clear and adaptable communicator, able to explain technical topics to business audiences and translate More ❯

teams. Communicate findings and insights clearly to both technical and non-technical audiences. Technical Skills & Knowledge Strong experience with SQL (SQL Server essential; Snowflake desirable). Proficiency with data visualisation tools such as Tableau or Power BI. Familiarity with the Microsoft Power Platform is advantageous. Good working knowledge of Microsoft Office 365. (Desirable) Understanding of Python, Business Objects, or other More ❯

Pandas, NumPy, or Scikit-learn Exposure to machine learning concepts or blockchain architecture Coursework or personal projects involving data analysis, AI/ML, or distributed systems Knowledge of data visualisation tools like Power BI or Tableau Benefits Fully funded, accredited qualifications Bespoke technical and business skills training A health cash plan 26 days annual leave Regular mentoring and personal development More ❯

building and become a trusted analytics partner, shaping how data drives strategic decision making across the organisation. Key Responsibilities Act as the subject matter expert for data analytics and visualisation within the Private Wealth division. Partner with senior leadership and key stakeholders to translate requirements into high-impact analytical products. Design, build, and maintain Power BI dashboards that inform strategic More ❯

learn Experience with automation platforms like Power Automate, UiPath, or custom scripting tools Interest in industrial or operational AI applications , especially in manufacturing, logistics, or materials Familiarity with data visualisation tools (e.g., Power BI, Tableau, or Plotly) Hybrid working available- giving you the flexibility to learn and contribute both on-site and remotely. Ready to shape the future? Apply now More ❯

up to date with emerging analytics tools and techniques to continuously improve reporting and analysis processes. Profile * The Data Analyst will have proven experience with data analysis, reporting, and visualisation tools such as Power BI, Excel, SQL, and Tableau.* Strong proficiency in SQL for querying and manipulating large datasets.* Experience with data modelling and basic understanding of data warehousing concepts. 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) Job Offer Competitive salary range of £35,000 to £45,000 per annum. Comprehensive pension scheme to support your future. Generous holiday allowance to maintain a healthy work More ❯

with the project delivery and business analysis professional practices to enhance DTG and Strategy Office portfolio reporting and Power BI dashboards. Designing and developing dashboards for data analysis and visualisation to support operational priorities and leadership decision-making. Managing, maintaining and driving innovation for the digital tools used to deliver internal portfolios, programmes and projects. Evaluating and implementing process improvements More ❯

working in a regulated environment, with experience of data legislation and cyber security accreditations e.g., GDPR, ISO27001, Cyber Essentials Expertise in Business Intelligence, ideally via Power BI for data visualization and reporting Experience of working in a financial services firm Experience of working in both Waterfall and Agile environments Microsoft Fabric Data Engineer Associate Certification Microsoft Azure Fundamentals Certification What More ❯

with finance and business teams to provide data-driven insights. Supporting project work such as forecasting, variance analysis, and modelling. Learning and applying new tools and methods for data visualisation and automation. About You You do not need prior experience, but you should have a strong interest in data and a willingness to learn. You will likely have: A degree 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) Job Offer Competitive salary range of £35,000 to £45,000 per annum. Comprehensive pension scheme to support your future. Generous holiday allowance to maintain a healthy work More ❯

Strong IT skills, including: Advanced Excel (modelling, pivot tables, macros) SQL for data extraction and manipulation Experience with coding or scripting (e.g. Python, R) is advantageous. Familiarity with data visualisation tools (e.g. Power BI, Tableau) are desirable. Excellent analytical and problem-solving skills. Strong written and verbal communication skills, with the ability to engage confidently with senior stakeholders. Self-motivated More ❯

for someone who can demonstrate: Proven Proficiency in Azure Data Factory and Azure SQL (essential) Proven expertise with Power BI and a strong eye for intuitive, user-friendly data visualisation Solid understanding of data warehouse design including planning and development Experience managing senior stakeholders and translating their needs into technical solutions Strong analytical skills and attention to detail Clear, effective More ❯

for someone who can demonstrate: Proven Proficiency in Azure Data Factory and Azure SQL (essential) Proven expertise with Power BI and a strong eye for intuitive, user-friendly data visualisation Solid understanding of data warehouse design including planning and development Experience managing senior stakeholders and translating their needs into technical solutions Strong analytical skills and attention to detail Clear, effective More ❯

outcomes. Demonstrated leadership in building, coaching, and scaling high-performing analytics teams. Knowledge of AI/ML applications in gaming and consumer-facing platforms. Technical proficiency: Required - Reporting/visualisation tools (Power BI/Tableau, etc). Nice-to-have - SQL, Python, R and modern cloud data environments (e.g., Snowflake, Databricks). WHO WE ARE At the core of LeoVegas More ❯

experience applying and deploying machine learning and AI tools like Python, TensorFlow, scikit-learn, or similar, to commercial pricing problems. Strong communication skills, modelling ability, and familiarity with data visualisation tools such as Power Bi or tableau is essential. The company offers hybrid working and excellent career progression opportunities. More ❯

analytics. Profile A successful Business Intelligence Analyst should have: A degree or equivalent qualification in a relevant field such as data analytics, statistics, or computer science. Proficiency in data visualisation tools such as Power BI, Tableau, or similar. Strong analytical and problem-solving skills. Experience with SQL/DAX or similar database query languages. An ability to communicate complex data More ❯

ll need to succeed Proven experience as a BI Analyst within the social housing sector. Strong working knowledge of Housing Management Systems and their data structures. Proficient in data visualisation and reporting tools (SQL Server, SSRS reports, Power BI, Microsoft Fabric). Excellent analytical, project management and problem-solving skills. Strong communication skills with the ability to translate complex data More ❯

and reports to monitor operational and commercial KPIs Supporting strategic planning as the business expands across the UK SKILLS & EXPERIENCE REQUIRED Strong SQL and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to More ❯

Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing platforms (AWS or Azure). Excellent analytical More ❯

Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing platforms (AWS or Azure). Excellent analytical More ❯

Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing platforms (AWS or Azure). Excellent analytical More ❯