426 to 450 of 1,246 Remote Visualisation Jobs

building blocks that motivate Sales and facilitate growth across the business. About the Role As an Incentives & Commercial Analyst at Reuters, you will: Data Analytics & Decision Support: Leverage data visualization tools (like Power BI and Tableau) to transform sales performance metrics into actionable insights, driving strategic decisions for senior management. Design, develop, and maintain comprehensive reporting tools and dashboards that More ❯

include: Analyse social campaign performance data to spot trends, variances, and actionable insights Support in building and maintaining dashboards and reports using tools like Excel, Google Sheets, and data visualisation platforms (e.g. Looker Studio) Assist in writing or running basic queries (e.g. in SQL) to retrieve and organise data Collaborate with paid and organic campaign teams to help them understand More ❯

how data can help improve their processes Mentorship to ensure high standards are achieved across the team Experience with web analytics tools, Big Query, Campaign Manager data sets and visualisation tools such as Looker studio, Power Bi, Tableau or similar A team player, able to work together with the global BI team to deliver key business objectives. If you are More ❯

how data can help improve their processes Mentorship to ensure high standards are achieved across the team Experience with web analytics tools, Big Query, Campaign Manager data sets and visualisation tools such as Looker studio, Power Bi, Tableau or similar A team player, able to work together with the global BI team to deliver key business objectives. If you are More ❯

how data can help improve their processes Mentorship to ensure high standards are achieved across the team Experience with web analytics tools, Big Query, Campaign Manager data sets and visualisation tools such as Looker studio, Power Bi, Tableau or similar A team player, able to work together with the global BI team to deliver key business objectives. If you are More ❯

from ideation and prototyping to production deployment, continuous monitoring, and refinement. The Technical Data Scientist will transform complex, unstructured data into actionable insights, communicating findings through data storytelling and visualization to empower stakeholders to make data-driven decisions. Additionally, this role will champion responsible and ethical AI practices, ensuring transparency, fairness, and compliance with evolving industry regulations. Define and own More ❯

marketing metrics (ROI, CAC, pipeline impact, attribution modelling). Hands-on experience with Google Analytics, marketing automation tools (Pardot preferable), and CRM systems (Salesforce preferable). Proficiency in data visualization tools (Power BI preferable). Ability to analyse large datasets and extract meaningful insights to improve marketing performance. Strong communication skills to present insights and work cross-functionally with multiple More ❯

include: Analyse social campaign performance data to spot trends, variances, and actionable insights Support in building and maintaining dashboards and reports using tools like Excel, Google Sheets, and data visualisation platforms (e.g. Looker Studio) Assist in writing or running basic queries (e.g. in SQL) to retrieve and organise data Collaborate with paid and organic campaign teams to help them understand More ❯

include: Analyse social campaign performance data to spot trends, variances, and actionable insights Support in building and maintaining dashboards and reports using tools like Excel, Google Sheets, and data visualisation platforms (e.g. Looker Studio) Assist in writing or running basic queries (e.g. in SQL) to retrieve and organise data Collaborate with paid and organic campaign teams to help them understand More ❯

with the College's goals. Champion Analytics: Promote a data-driven culture across the college. Ensure Data Quality: Maintain the accuracy and reliability of data for decision-making. Data Visualisation: Apply Power Bl for clear data analysis and presentation. Collaborate with Stakeholders: Develop performance frameworks aligned with business needs. Develop & Maintain Services: Create new applications and ensure existing services meet More ❯

4+ years prior experience in a data analytics role with strong data modelling skills and exposure to dbt, Snowflake (or similar cloud data warehouse) and Power BI (or another Visualisation tool) To be self-motivated – you’re resilient and a proactive individual with ability to work independently and drive projects forward To showcase strong communication skills – you can translate technical More ❯

business problems. Expert proficiency in SQL, Python and/or R (including data science libraries and tools), and version control tools like GitHub. Expertise in data wrangling, modelling, data visualisation, and building end-to-end data science solutions. Experience or familiarity with Databricks, Agile Framework, Asset Bundles, MLOps Stacks, GitHub actions and Generative AI is a plus. Proven ability to More ❯

information handling and analysis gained in a work environment Experience in developing data visualisations, via dashboards or other tools, which support business decision making Knowledge of solutions for data visualisation and analytics An understanding of relational database design/development and database querying using Structured Query Language (SQL) or similar Experience with Microsoft and Google platforms An understanding of user More ❯

Experience & knowledge: Experience of designing data experiments using scientific methodology. Proven ability to identify and apply a relevant set of analytics techniques to a business problem, including simple analysis, visualisation, advanced analysis, and modelling. Experience of developing production ML systems, incorporating MLOps best practices to ensure long-term value delivery and minimal risk. Knowledge of AI and Generative AI implementation More ❯

the query quality better (know best practices). Fluent with Excel functions (LOOKUP, SUMPRODUCT, INDEX/MATCH), able to use MACRO is a plus. Advanced proficiency in Tableau/visualization tool required. Must be able to design and build robust, error-free visualizations quickly. Able to lead the discussion around how a given analysis should be visualized. Confident with learning More ❯

Systems Integration experience including Automated and Manual Integration of third party systems or components; Demonstrable Automated and Manual Functional and Non-Functional testing experience, including front-end dashboard, data visualisation tools and back-end database testing; Demonstrable experience working with a variety of stakeholders to identify objectives; Experience of taking ownership and driving delivery of testing projects; Experience in a More ❯

system. The ideal candidate will: Be enthusiastic about turning data into insights that inform decision-making and demonstrate tangible value to external and internal stakeholders. Possess experience in data visualisation, manipulation, and analysis using tools such as Power BI, Python, and Azure. Be initiative-taking in seeking continuous improvement, always exploring new ways to work more efficiently and effectively. Have More ❯

include the job requisition number in your message. Salary Range $93,800.00 - $174,200.00 Skills Desired Biostatistics, Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query More ❯

with AI/ML scientists on optimization and production deployment of solutions, creating blueprints, and acting as an internal consultant to transition ideas from prototype to production. Data Exploration & Visualization: Exploring and visualizing data to understand those and identify differences in data distribution that could affect model performance when deployed in real-world scenarios. Data Quality Assurance: Verifying data quality More ❯

data-driven decision-making and strategic alignment. Data Analytics & reporting – strong proficiency in Excel, including the ability to manipulate and analyse large datasets using pivot tables, formulas, and data visualisation tools. Experience in using data to track and measure customer engagement trends and campaign performance. Growth & engagement metrics – good understanding of customer lifecycle metrics such as active engagement, feature adoption More ❯

have (but not essential) Internship or course project involving real‐world data analysis or modelling Familiarity with cloud platforms (e.g. AWS) and version control (git) Experience with BI/visualisation tools (e.g. Looker) What's it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things. More ❯

the business, understanding how your remit is serving the goals of the overall product organisation. Requirements: Proficiency in SQL and the ability to work with large datasets Experience with visualisation tools like Looker or Tableau Experience with Python and some command over ETL scripts Experience with experimentation and A/B testing An analytical mind with good problem-solving skills More ❯

strategy to implementation Strong process management skills and experience managing and improving complex projects/processes Ability to problem-solve and communicate issues to Capability Manager Desired Skills: Data visualization tools knowledge preferred - such as Tableau and Power BI Experience with SaaS solutions/platforms Additional Languages are desirable What's in it For You? Hybrid Work Model: We've More ❯

Track record of driving business decisions and impact. Strong technical skill set with analytical tools such as SQL, Python/R for analytics, PowerBI and/or Tableau for visualisation, Amplitude, Fullstory or Google Analytics as product optimisation tools. Comfortable at managing multiple projects and stakeholders with competing deadlines and priorities, ensuring the highest value work gets prioritised and accomplished More ❯

30+ data scientists and data engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, statistical modeling, signal detection, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, product management and strategy. We work with data from a wide variety of sources including text, news feeds, financial reports More ❯