1 to 25 of 178 Visualisation Jobs in the South East

Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow). Strong experience with SQL and data manipulation across large datasets. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir Foundry) is a plus. Excellent problem-solving skills, eagerness to More ❯

science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels). Solid foundation in SQL and data wrangling across large, complex datasets. Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly). Familiarity with cloud-based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus. Exceptional ability to translate More ❯

future demand. Ability to think critically and approach complex problems from multiple perspectives to generate practical, data-driven solutions that support long-term planning Technical proficiency : Proficiency in data visualisation tools (including Tableau) and data handling and analysis using Excel, SQL, R, or Python. Experience with data modelling, demand forecasting, or working with large datasets from multiple sources. Please note More ❯

as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience working on mobile attribution solutions (Appsflyer, Singular)[4] ● Experience working on a mobile game More ❯

of data 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 business needs 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 ❯

Role : This role is a critical part of the new technology team supporting the SPM team, providing key data engineering activities including enterprise data model updates, pipeline management, analysis & visualisation engineering, supporting the SPM technology team, external SPM vendors and working with the wider technology teams to integrate SPMs new and existing services effectively. The role will be working closely 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 ❯

Familiarity with additional Oracle Fusion tools like HCM Extracts, Financial Analytics, and Oracle Data Visualisation. • Experience with reporting tools outside Oracle Fusion (e.g., Power BI, Tableau) for comparative data visualisation skills. • Knowledge of cloud computing and understanding of Oracle Autonomous Datawarehouse (ADW), Oracle Data Integrator (ODI) market place and Oracle Cloud Infrastructure (OCI) would be beneficial. • Good understanding of how More ❯

data lifecycle — from strategy, governance, and engineering through to BI and advanced analytics. Strong experience designing and implementing modern data platforms (cloud, on-prem, hybrid). Skilled in data visualisation and storytelling — able to translate technical outputs into commercial insights for senior stakeholders. Technical fluency across: BI tools (e.g., Power BI, Tableau, Qlik) SQL and data engineering Python or R 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 ❯

Orgvue is a leading organizational design and planning software platform that captures the power of data visualization and modelling to build more adaptable, and better performing organizations. HR, finance and business leaders use Orgvue for actionable insight and analysis that helps them make faster workforce decisions in a constantly changing world. Orgvue is used by the world's largest and 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 ❯

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 ❯

literacy and effective use of BI tools. What you'll need to succeed Experience within financial services Strong analytical skills and high numeracy Advanced Excel and experience with data visualisation tools (e.g., Power BI) Familiarity with CRM systems (e.g., Salesforce) and SQL Good understanding and usage of AI (Co-Pilot) to streamline tasks Excellent communication and stakeholder management skills Knowledge More ❯

patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments, and customer analysis. Data Science Leadership: Mentor team members, present insights clearly to technical and non-technical audiences, and ensure best practices in 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 ❯

needs, develop meaningful reports and dashboards, and provide analysis that drives performance, strategy, and efficiency. Minimum requirements: Experience of operational analysis, commercial analysis or similar. Advanced proficiency in data visualisation (e.g., Looker Studio) and interactive dashboard creation. Strong SQL skills; Here's the other key skills and experience we're looking for you to bring: Demonstrable experience of identifying and 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 ❯

Microsoft Power BI including data modeling, ETL, and authoring DAX for querying and calculations Strong working knowledge of: Power BI, Power Query, DAX, SQL, and best practices in data visualization Knowledge of Software Development Lifecycle (SDLC) concepts and agile methodology Comfortable working with colleagues at all levels within the firm; strong interpersonal skills Flexible self-starter comfortable with tackling new More ❯

satisfaction Essential Experience: Relevant professional certification or equivalent experience (Microsoft, ITIL, Google analytics, PowerBI, etc) Experience in a Product analyst role with face-to-face support. Experience working with visualisation Software PRINCE2 Foundation or AGILE certification (desireable) Familiarity with Analytics tools AI/Microsoft CoPilot/Generative AI knowledge If this sounds like you and you are an excellent communicator More ❯