1 to 25 of 626 Visualisation Jobs

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 ❯

attention to detail. Preferred skills and qualifications of the Data Analyst Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related Proficient in SQL and data visualisation tools such as Power BI or Tableau Practical experience in developing data warehouse solutions as part of a broader data architecture Exposure to Microsoft Fabric implementations, including Azure Data Factory More ❯

continuous improvement mindset. Degree in a relevant technical field (e.g., Data Science, Engineering, Computer Science); certifications in cloud or data tools are advantageous. Experience in Python, SQL, and data visualisation tools (e.g., Power BI, Tableau); experience with cloud platforms (AWS, Azure) is desirable. EV Charging Knowledge Charge Point Management Systems Data Analysis Stakeholder Engagement Root Cause Analysis Problem Solving Benefits More ❯

with stakeholders to understand data needs and provide actionable insights. Analyse datasets to uncover trends, patterns, and anomalies that inform strategic decisions. Requirements Basic knowledge of SQL and data visualisation tools (Power BI, Tableau). Proficiency in Microsoft Excel; familiarity with VBA and Macros is a plus. Strong analytical mindset with a keen eye for detail. Excellent communication and problem More ❯

into effective data solutions that drive decision-making. Ensure data quality, consistency, and governance across all reporting solutions. Provide technical expertise and guidance to colleagues and clients on data visualisation best practices and analytics capabilities. Requirements Technical Skills Expert-level proficiency with Power BI, including DAX, M, advanced modelling techniques, DirectQuery, and Import. Strong SQL skills, with the ability to More ❯

Power BI, including DAX, Power Query, and Data Modeling.Strong expertise in SQL, data warehousing concepts, and ETL pipelines.Proven experience withAzure Data Services (Data Factory, Synapse, Data LakeExcellent understanding ofdata visualization principles and storytelling with data.Strong analytical, problem-solving, and communication skills.Bachelors or Masters degree in Computer Science, Data Science, or a related field.Microsoft Certified:Data Analyst Associate or Power BI 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 ❯

a culture of curiosity and continuous improvement. Assist the Data Governance team in driving high-quality data standards across the business. Technical Competencies Strong experience in data analysis and visualisation, particularly using Power BI, Excel, and SQL. Hands-on knowledge of predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience More ❯

a culture of curiosity and continuous improvement. Assist the Data Governance team in driving high-quality data standards across the business. Technical Competencies Strong experience in data analysis and visualisation, particularly using Power BI, Excel, and SQL. Hands-on knowledge of predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience More ❯

paced setting. Preferred Qualifications: Experience with AWS and other cloud services like Azure services such as Azure SQL Database, Azure Data Lake, or Azure Databricks. Knowledge of other data visualization and reporting tools, such as Power BI or Tableau. Certification in Azure or related technologies. Working Conditions: Will work in high volume work environment that may require overtime as necessary 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 ❯

gained, and demonstrated experience in: Business analysis; Reporting and data analysis for sales or service teams; Advanced MS Excel and PowerPivot skills to model large amounts of data; Data visualization and reporting on Tableau or Microsoft Power BI; Statistics and forecast modeling; Statistical and descriptive concepts and methodologies; SQL or related data querying and manipulating tool; Strong knowledge of quantitative More ❯

problems; Core statistical methodologies including regression, classification, clustering, and hypothesis testing; Hands-on experience with R Markdown and Excel automation for building automated reporting solutions and documentation pipelines; Data visualization and business intelligence tools including Tableau and Microsoft Power BI for building dashboards and supporting data-driven decision-making; Proven ability to automate reporting processes and develop self-serve analytics More ❯

problem-solving skills Willingness to learn and continuously improve technical and professional skills Competency with Microsoft office applications including Excel Some experience of using data tools (e.g. SQL, Python, visualisation tools such as Power BI/Tableau etc) would be an advantage but not essential. Training You will undertake a Level 4 Data Analyst Apprenticeship where you will learn the 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 ❯

science and data analytics tools to continuously improve processes and methodologies. What You Will Have: Technical Skills: Proficiency in Python, R, or SQL for data analysis and manipulation. Data Visualization Tools: Strong experience with Power BI, Tableau, or similar tools for creating actionable visual insights. Data Management Tools: Highly competent with PowerApps, SharePoint, and Microsoft Office packages. Problem-Solving: Excellent More ❯

science and data analytics tools to continuously improve processes and methodologies. What You Will Have: Technical Skills: Proficiency in Python, R, or SQL for data analysis and manipulation. Data Visualization Tools: Strong experience with Power BI, Tableau, or similar tools for creating actionable visual insights. Data Management Tools: Highly competent with PowerApps, SharePoint, and Microsoft Office packages. Problem-Solving: Excellent More ❯

of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning. Deep expertise in advanced analytics, data science and traditional analytics. High-level understanding of data engineering and data strategy. Strong understanding of at least More ❯

in Azure Data Factory and Databricks. Proficiency in SQL and good to have programming languages like Python. Familiarity with data modelling, data warehousing, and ETL processes. Experience with data visualisation tools such as Microsoft Power BI or Tableau is a plus. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to thrive in a fast-paced, agile More ❯

external speakers, and fresh ideas welcome. About you: • Proven experience in data analysis with a strong track record of creating performance reports and predictive models.• Strong experience with data visualisation and business intelligence tools (e.g., Power BI, Tableau, Qlik)• Demonstrated ability to build predictive models using statistical or machine learning techniques.• Experience working with large datasets, preferably in the housing More ❯

behaviour and assess performance against key metrics. Create visual reports and dashboards using large quantities of data from a variety of sources. Automate data reports and presentations using data visualisation tools. Commercial Offer Support: Assist in the creation of compelling and competitive commercial offers for B2G, B2B, and Property/Land deals, working closely with sales leads to support them More ❯

Studio | Microsoft Power Platform | Data Architecture | Data Engineering | Azure | Snowflake | Databricks | SQL | Process Automation | Predictive Analytics | Cloud Solutions | Digital Transformation | Industrial Automation | PLC | HMI | SCADA | IoT | Data Modelling | Data Visualisation | Business Intelligence | Agile Delivery | Continuous Improvement | Technical Leadership | Automation Strategy | Process Optimisation | Power Apps | Python | Data Governance | Data Integration | Data Warehousing | Robotics | IT Systems | Manufacturing Systems | Automation Projects | Artificial Intelligence 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 ❯

experience as a Data Analyst or similar analytical role.* Strong analytical skills with the ability to collect, organise, and analyse significant amounts of data.* Proficiency in SQL and data visualisation tools (e.g. Power BI, Tableau).* Advanced Excel skills, including pivot tables and complex formulas.* Experience with data cleaning, modelling, and business intelligence reporting.* Strong attention to detail and problem More ❯