1 to 25 of 1,152 Visualisation Jobs

knowledge of Informatica Data Quality (IDQ) for data profiling, cleansing, and monitoring. Strong analytical and problem-solving skills, with expertise in statistical analysis and data modeling. Proficiency in data visualization tools (e.g., Tableau, Power BI). Experience with ETL processes, data warehousing, and data pipeline development. Excellent communication skills, with the ability to translate complex data findings into actionable business More ❯

keen attention to detail. Preferred skills and qualifications of the Data Analyst Bachelors 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 ❯

help build a culture of continuous improvement Work with the Data Governance team to drive high-quality data standards Essential Requirements Technical Skills: Strong experience in data analysis and visualisation using Power BI, Excel, and SQL Hands-on knowledge of predictive modelling techniques (regression analysis, clustering, forecasting) Familiarity with cloud-based data environments such as Microsoft Azure, AWS, or Google 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 ❯

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 ❯

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 ❯

skills. High attention to detail and ability to work independently in a remote setting. Preferred Skills Familiarity with BI tools such as Power BI or Tableau. Experience with data visualisation or academic analytics projects. Understanding of basic statistics or data modelling concepts. Benefits and Perks Compensation: £15 per hour. 20 hours per week, Monday–Friday. 2-month internship, fully remote 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

experience in developing and operationalizing AI/ML models and algorithms for geospatial data (e.g., object detection from satellite imagery, spatial clustering, predictive analytics). Strong background in data visualization and reporting tools (e.g., Tableau, PowerBI). Strong leadership, communication, and collaboration skills, with the ability to work directly with senior government officials, analysts, and technical teams. Excellent problem-solving 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 ❯

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 ❯

continuous integration and deployment (CI/CD) for AI models. • Familiarity with data privacy regulations (e.g., GDPR, CCPA) and their impact on AI and data architecture. • Experience with data visualization tools like Power BI, Tableau, or Looker. • Certifications: Relevant certifications in enterprise architecture, AI, or data science (e.g., TOGAF, Certified Data Management Professional (CDMP), Microsoft Certified: Azure AI Engineer Associate More ❯

provider data strongly desired. Experience working with AWS cloud services: EC2, S3, RDS, Redshift and Glacier/Archival Experience creating Logical and Physical data models and documentation. Experience with visualization tools like Power BI, Tableau. Ability to abide by Client policies. Ability to maintain attendance to support required quality and quantity of work. Maintain confidentiality and comply with Health Insurance More ❯

Data Analyst Engineer I - Onsite Role in Norco, CA Job Summary: The Data Analyst Engineer I will provide critical support to Navy operations by developing, maintaining, and enhancing data visualization, reporting, and collaboration platforms. This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint to deliver actionable insights, automate reporting processes, and streamline workflows 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 ❯