1 to 25 of 185 Visualisation Jobs in the South East

. 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 ❯

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 ❯

analyse and interpret data, with keen attention to detail Basic experience with data modelling Exposure to programming languages such as Python or R is an advantage Familiarity with data visualization best practices Team player willing to collaborate in a fast-paced and diverse environment Excellent English and Mandarin communication skills, with the ability to present findings in a clear and More ❯

and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive mindset. Desirable: Experience with Python, R, or data visualisation tools. Internship or project experience in data analytics or financial services. Understanding of personal loan products and customer journeys. TwentyFour Recruitment is an equal-opportunity employer. If your skill set More ❯

functional teams to drive data-informed decision-making Requirements Proven analytical and problem-solving skills Strong experience with Excel (advanced formulas, pivot tables) and Power BI (or similar data visualisation tools) Knowledge of SQL or data modelling (preferred) Strong communication skills with the ability to translate complex data into actionable insights Background in business analysis, operations, or management consulting (advantageous 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 ❯

the enterprise AI roadmap Required Skills Proven experience in data science and machine learning Strong Python skills and familiarity with ML libraries (Scikit-learn, TensorFlow, PyTorch) Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn) Ability to translate complex model outputs into actionable business insights Excellent communication skills with both technical and non-technical audiences Familiarity with Agile methodologies 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 ❯

the water or utilities industry. Desirable Technical Skills & Qualifications SQL scripting and experience with database management systems such as SAP or SQL Server . Familiarity with data analysis and visualisation tools such as Power BI or Python . Experience with data quality tools such as MDM Profisee , SharePoint , and Purview . Understanding of big data technologies such as Databricks and More ❯

data objects like leads, opportunities, lead scores and customer-centric metrics. Strong analytical and problem-solving skills, with the ability to convert data into actionable insights. Proficiency in data visualization tools such as Power BI , or similar. Experience with Snowflake and GCP (BigQuery) or other cloud-based data warehousing technologies is highly desirable. Familiarity with Python is a plus. Working More ❯

of accurate data science models, and review that proposed solutions meet security, compliance, and governance requirements. * Monitor model performance, identify drift and implement model retraining when appropriate. * Use data visualisation and storytelling techniques to share analytic conclusions and their strategic impact. * Collaborate closely with other teams to manage interdependencies, risks and resourcing to support portfolio delivery. * Develop AI/ML More ❯

MDG . Data Governance & Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across several key global groups. Competitive salary, + Bonus, medical and retirement benefits. Wellbeing, Sports. To Apply: Please More ❯

MDG . Data Governance & Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across several key global groups. Competitive salary, + Bonus, medical and retirement benefits. Wellbeing, Sports. To Apply: Please More ❯

the firm Skills & Experience Proven experience as a BI Developer or Data Engineer in a financial services or wealth management environment Strong proficiency in Power BI, DAX, and data visualization best practices Advanced SQL skills and experience with relational databases Hands-on experience with Azure (e.g., Azure Data Factory, Azure SQL, Synapse) Solid understanding of ETL processes and data warehousing More ❯

and Agile product development methodologies and frameworks. Expertise in developing product requirements, roadmaps, and MVP strategies that balance immediate impact with scalability. Strong background in dashboard development and analytics visualisation . Demonstrated success in leading cross-functional teams , building alignment, and managing diverse stakeholders. Excellent leadership, interpersonal, and communication skills to influence and drive buy-in at all levels. Experience More ❯

good understanding of core Bank products such as Trade Finance, Loans and SWIFT payments. Experience with analytical or database querying software such as SQL and Python. Experience with data visualisation tools such as Tableau and PowerBI The ability to identify wider business impacts or opportunities across key outputs and processes. Ability to work unaided on projects and manage their own More ❯

Financial reporting experience with large, complex, multi-currency group consolidations (preferably UK/US listed). ERP system experience (e.g., SAP, Oracle). Experience with large datasets and data visualization tools (e.g., Tableau, Power BI). Understanding of IT finance principles. Personal Attributes: Proactive and results-driven. Excellent problem-solving skills. Strong interpersonal skills. Ability to work independently and collaboratively. More ❯

Analyst or in a similar analytical, data-driven role. Strong ability to proactively identify operational bottlenecks, uncover insights, and translate them into tangible business improvements. Advanced proficiency in data visualisation (e.g., Looker Studio) and interactive dashboard creation. Strong SQL skills; Python for analytics is a plus. Deep understanding of relational databases, data structures, and data modeling concepts. Skilled in Google More ❯

What We're Looking For: Strong Excel and data handling skills (SQL knowledge a plus) A methodical, detail-oriented approach to working with large datasets Some familiarity with data visualisation tools (e.g., Power BI or Tableau) is desirable Eager to learn, with a genuine interest in using data to solve business problems Quantitative degree from a leading university is essential More ❯

through to solution design, development, implementation and support. Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more This role would be well-suited to a Data Engineer looking to take their More ❯

established by the Financial Controller. Business Analytics Collect and analyse complex business data to monitor performance and identify key business drivers. Serve as a Superuser in the integration and visualisation of Power BI dashboards using data from multiple internal and external systems. Recommend system enhancements and process improvements through written reports and business cases. Assist in documenting and implementing improved More ❯

teams and senior stakeholders. Skilled in business process modelling and documentation (BPMN). Familiarity with agile methodologies and working in cross-functional agile teams. Proficiency with data analysis and visualisation tools (e.g. Excel, Power BI, Tableau). Understanding of data management, governance, and data quality principles. Professional proficiency in English (spoken and written). *Rates depend on experience and client More ❯

will be expected to manage and maintain data quality and ensure the integrity of analyses. Qualifications Proficiency in data analysis, statistical techniques, and business intelligence tools Experience with data visualization tools and developing clear, insightful reports Strong problem-solving, critical thinking, and analytical skills Excellent organizational skills and a keen attention to detail Ability to effectively communicate complex insights to More ❯

problems. Qualifications: Familiarity with Infrastructure costs, and workload usage/consumption patterns on cloud including an understanding of cloud providers, platforms and configurations (AWS, GCP, Azure) Experience with data visualization software packages, e.g., Looker, Power BI, Tableau Familiarity with SQL and similar database tools for querying complex data sets. A B.A./B.S. in STEM, Mathematics, Statistics, Economics, Computer Science More ❯

processes, reporting quality, and insight delivery. Use tools like Excel, Qlik Sense, Power BI, and Business Objects for data analysis. What You'll Bring Strong analytical skills and data visualisation experience. Proficiency in Excel, Power BI, Qlik Sense, and MI tools. Ability to communicate complex data clearly to senior stakeholders. High attention to detail and strong organisational skills. Experience in More ❯