1 to 25 of 403 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 ❯

Deliver custom data extracts for internal and external stakeholders (e.g., CRM campaign lists, supplier reports, test group data). Experience required: 2+ years of experience in data analytics and visualisation, with a focus on customer and/or transactional data. Proven ability to write complex SQL queries and build scalable data processes and pipelines. Experience developing reports and data visualisations 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 ❯

cross-functionally with both business and technical stakeholders. Strong communication and presentation skills. Preferred Skills Knowledge of FP&A, supply chain, workforce, or sales planning processes. Experience with data visualization tools (Power BI, Tableau, or similar). Familiarity with ETL tools, APIs, or middleware for system integrations. Anaplan Solution Architect certification (a plus for senior roles). More ❯

Experience working with data (e.g., through coursework, projects, or internships) Good communication skills and ability to explain complex concepts clearly Nice to Have (But Not Required): Familiarity with data visualisation tools like Tableau, Power BI, or matplotlib/seaborn Experience with SQL and querying databases Exposure to cloud platforms (e.g., AWS, GCP, or Azure) Knowledge of version control systems (e.g. More ❯

Agile, Scrum, etc.). Ability to analyze complex data sets and derive actionable insights. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning concepts and their application in software development. Experience with DevOps practices and tools. Qualifications: Bachelor's degree in Computer Science More ❯

Agile, Scrum, etc.). Ability to analyze complex data sets and derive actionable insights. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning concepts and their application in software development. Experience with DevOps practices and tools. Qualifications: Bachelor's degree in Computer Science 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 ❯

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 ❯

experience: Experience in the technical design and development of technology-based products Experience working with technical architecture and owning technical writing Experience in data analysis, data modelling, and data visualisation tools (e.g. SQL, Excel, Tableau, PowerBI etc.). Willing to learn database schemas, perform data manipulation tasks such as data cleaning, transformation and aggregation Ability to facilitate end-to-end 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 ❯

reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is More ❯

reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is More ❯

reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is 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 ❯

in Computer Science or a related field. Proficiency in Microsoft PowerApps, Power BI, and VBA. Proven experience in computer programming (e.g. SQL, Python) and data manipulation Understanding of data visualisation and storytelling within an audit or financial context. Familiarity with external audit methodologies and professional standards Strong analytical and problem-solving skills with the ability to handle and interpret large More ❯

e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure More ❯

e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure More ❯

e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure More ❯

translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and More ❯

translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and More ❯

translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and More ❯

Manager A successful BI & Analytics Manager should have: A strong background in business intelligence and data analytics. Experience working with large data sets from various sources. Proficiency in data visualisation tools such as Power BI or Tableau. Expertise in SQL and other data query languages. Excellent leadership and team management skills. The ability to communicate complex data insights clearly and More ❯

Manager A successful BI & Analytics Manager should have: A strong background in business intelligence and data analytics. Experience working with large data sets from various sources. Proficiency in data visualisation tools such as Power BI or Tableau. Expertise in SQL and other data query languages. Excellent leadership and team management skills. The ability to communicate complex data insights clearly and More ❯