1 to 25 of 1,479 Remote Visualisation Jobs

insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand … Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop More ❯

insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand … Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop More ❯

insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand … Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop More ❯

insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand … Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop More ❯

insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand … Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop More ❯

and presentation skills Additional Information What You'll Contribute To You'll help our clients transform their data capabilities by: Automating manual processes to improve efficiency and accuracy Creating visualisation tools that provide actionable insights Developing models that optimise asset performance and revenue Integrating diverse data sources into cohesive analytical platforms Supporting data-driven decision making across various business functions More ❯

university's mission to enhance student outcomes and drive continuous improvement. About the Opportunity: As the Principal Data Analyst at Arden University, you will use your mathematics, statistical, and visualisation expertise to drive improvements in student experience, student outcomes, and operational efficiency. You’ll promote the highest possible standards in analytical rigour at Arden University. You’ll oversee, manage, and More ❯

university's mission to enhance student outcomes and drive continuous improvement. About the Opportunity: As the Principal Data Analyst at Arden University, you will use your mathematics, statistical, and visualisation expertise to drive improvements in student experience, student outcomes, and operational efficiency. You’ll promote the highest possible standards in analytical rigour at Arden University. You’ll oversee, manage, and More ❯

university's mission to enhance student outcomes and drive continuous improvement. About the Opportunity: As the Principal Data Analyst at Arden University, you will use your mathematics, statistical, and visualisation expertise to drive improvements in student experience, student outcomes, and operational efficiency. You’ll promote the highest possible standards in analytical rigour at Arden University. You’ll oversee, manage, and More ❯

skills with the ability to interpret and manipulate large datasets. Experience working on transformation or change projects involving multiple stakeholders and systems. Hands-on ability with Excel and data visualisation tools (e.g., Power BI, Tableau). Demonstrated understanding of process mapping, data workflows, and requirement traceability. Excellent communication and presentation skills, both verbal and written. Strong client-facing skills with More ❯

the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical Modelling Skills. Strong Business Analyst skills, including process mapping, requirements gathering More ❯

practices to handle and query large datasets efficiently. Knowledge of machine learning frameworks like TensorFlow or PyTorch and libraries such as scikit-learn. Proficiency in using data analysis and visualization tools to interpret data and present insights effectively. Proven experience as a Data Scientist, Data Analyst, or in a similar role, preferably within an e-commerce or a related industry. … AWS, Azure, Google Cloud) such as machine learning services and automated data pipeline tools. Familiarity with big data frameworks like Hadoop or Spark is beneficial. Skills in advanced data visualization tools and software beyond basic reporting—such as Tableau, Power BI, or even more sophisticated interactive web visualization frameworks like D3.js. Benefits 15 Days paid off + local/US More ❯

university's mission to enhance student outcomes and drive continuous improvement. About the Opportunity: As the Principal Data Analyst at Arden University, you will use your mathematics, statistical, and visualisation expertise to drive improvements in student experience, student outcomes, and operational efficiency. You'll promote the highest possible standards in analytical rigour at Arden University. You'll oversee, manage, and More ❯

university's mission to enhance student outcomes and drive continuous improvement. About the Opportunity: As the Principal Data Analyst at Arden University, you will use your mathematics, statistical, and visualisation expertise to drive improvements in student experience, student outcomes, and operational efficiency. You’ll promote the highest possible standards in analytical rigour at Arden University. You’ll oversee, manage, and More ❯

university's mission to enhance student outcomes and drive continuous improvement. About the Opportunity: As the Principal Data Analyst at Arden University, you will use your mathematics, statistical, and visualisation expertise to drive improvements in student experience, student outcomes, and operational efficiency. You’ll promote the highest possible standards in analytical rigour at Arden University. You’ll oversee, manage, and More ❯

knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity with role or attribute-based access control frameworks. Other: Must hold an Active DOD Secret, Top More ❯

analyzing data sets, generating reports, and providing actionable insights to support business decisions. The ideal candidate will have a strong foundation in SQL for data extraction, proficiency in data visualization tools like Tableau or Power BI, and basic programming skills in Python or R. You will work closely with cross-functional teams to enhance data-driven strategies and ensure data … Computer Science, or a related field. 1-2 years of experience in data analysis or a similar role. Proficiency in SQL for data extraction and manipulation. Familiarity with data visualization tools such as Tableau or Power BI. Basic knowledge of programming languages like Python or R for data analysis. Understanding of data warehousing concepts and ETL processes. Experience with data More ❯

extract actionable insights from various datasets. Model Development: Assist in the development, testing, and deployment of machine learning and statistical models under the guidance of senior data scientists. Data Visualisation & Reporting: Design and develop interactive dashboards and reports using Power BI to communicate complex data insights clearly and effectively to stakeholders. Data Collection & Preparation: Support data collection, cleaning, transformation, and More ❯

extract actionable insights from various datasets. Model Development: Assist in the development, testing, and deployment of machine learning and statistical models under the guidance of senior data scientists. Data Visualisation & Reporting: Design and develop interactive dashboards and reports using Power BI to communicate complex data insights clearly and effectively to stakeholders. Data Collection & Preparation: Support data collection, cleaning, transformation, and More ❯

knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity with role or attribute-based access control frameworks. Other: Must hold an Active DOD Secret, Top More ❯

developing, and maintaining business intelligence solutions that transform data into actionable insights. You will work closely with stakeholders to understand their analytical needs and deliver high-quality reporting and visualization solutions. Key Responsibilities: Design and develop BI solutions, including dashboards, reports, and data models using tools such as Power BI, Tableau, or similar Collaborate with business users to gather requirements … tools and reporting processes Stay current with industry trends and best practices in BI and data analytics Required Skills: Proficiency in BI tools (Power BI, Tableau, QlikView) and data visualization techniques Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL) Familiarity with ETL processes and data warehousing concepts Experience in data modeling and designing effective reporting More ❯

drive AI initiatives. Utilize modern tools and methodologies such as Data Lakes, serverless computing (Athena/Lambda), and ETL processes to manage data storage and computational needs. Employ data visualization tools like Power BI, Tableau, or Qlik to translate data insights into actionable intelligence. Required Qualifications: 4+ years of hands-on experience in AI/ML model development, including supervised … analytical/statistical programming language (e.g., Python, R, Scala, Closure). 2+ years of experience manipulating and processing unstructured data from various platforms. 2+ years of experience using data visualization tools such as Power BI, Tableau, Elastic X-Pack (including Graph), or Qlik. Bachelor's Degree in Data Science, Computer Science, Mathematics, or a related field; a combination of education More ❯

updated on advancements in analytics tools, techniques, and best practices within project management. Analytics & Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability to interpret complex data … controls, or financial management within infrastructure, construction, or energy sectors. Proven experience in developing analytics solutions and driving data-led decision-making on large, complex projects. Knowledge of data visualization tools (e.g., Power BI, Tableau), advanced Excel, and coding languages such as Python, SQL, or DAX. At CMR we have a strong culture driven by our 9 Core Principles. We More ❯

updated on advancements in analytics tools, techniques, and best practices within project management. Analytics & Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability to interpret complex data … controls, or financial management within infrastructure, construction, or energy sectors. Proven experience in developing analytics solutions and driving data-led decision-making on large, complex projects. Knowledge of data visualization tools (e.g., Power BI, Tableau), advanced Excel, and coding languages such as Python, SQL, or DAX. At CMR we have a strong culture driven by our 9 Core Principles. We More ❯

project milestones and objectives. Cloud Data Engineering: Lead the design, build, and maintenance of cloud-native data pipelines using ETL/ELT, streaming, and modern data processing techniques. Data Visualisation & Analytics: Oversee the provision of scalable, cloud-based analytics and data services that empower business decision-making. Operational Support & Troubleshooting: Ensure high availability and reliability of cloud data solutions by … high-performance environment. Desirable: Data Science & AI Exposure: Understanding of ML, AI, or advanced analytics in cloud environments. BI & Reporting Tools: Familiarity with Power BI, Tableau, or Looker for visualisation in cloud platforms. Automated Testing & Monitoring: Experience using ICEDQ, QuerySurge, or cloud-native monitoring tools. What we offer A competitive salary - let's discuss it Hybrid working Group Personal Pension More ❯