76 to 100 of 1,247 Remote Visualisation Jobs

within a team. You should be comfortable juggling multiple projects, prioritising tasks, and responding to challenges with creative, analytical solutions. You'll bring proficiency in SQL, Excel, and data visualisation tools such as Power BI or Tableau, with bonus points for experience in Python or R. A keen eye for detail, a passion for data, and an interest in the More ❯

Experience & Knowledge Experience in Microsoft Power Platform, particularly Power Apps, Power Automate and Dataverse. Experience in using cloud computing services such as AWS, GCP or Azure. Experience in data visualisation tools such as Looker, Tableau or Qlik. Experience in defining and documenting business requirements for the procurement of data and tooling. Desirable but not essential: Previous experience of working in More ❯

we'd love to see/Amazing Extras: Experience in data engineering/analytics using native technologies of least one cloud platform (AWS, Azure, GCP). Knowledge of data visualisation tools such as Tableau or Power BI. Experience in building Machine learning and Data science applications. Ability to use wide variety of open-source technologies. Knowledge and experience using at More ❯

ability to work on multiple tasks at the same time through to resolution. Demonstrate excellent technical skills across multiple technologies including replication tools, ELT/ETL, data reconciliation and Visualisation tooling. Fostering a culture of collaboration with all Data & Analytics engineering teams, to embed consistent ways of working and improvements, through facilitating internal working groups and championing new technologies. Acting More ❯

sometimes ambiguous work environment. Proven experience in data science, advanced analytics, or data engineering, with a track record of delivering measurable outcomes. Proficiency in Databricks, Azure, SQL , and data visualisation using open source libraries. Excellent communication skills — able to simplify technical concepts for varied audiences. Strong problem-solving skills and a focus on value creation over analysis for its own More ❯

Job Title: Data Analyst - Banking Products & Strategy Support Location: Brussels, Belgium (Hybrid Work Model) Employment Type: Full-Time We are a leading international bank committed to delivering excellent financial services across Europe and beyond. With a strong presence in Brussels More ❯

Senior Full Stack Engineer (Data Visualisation) Senior Full Stack Engineer (Data Visualisation) 1 month ago Be among the first 25 applicants About BMLL We are the leading independent provider of harmonised Level 3 historical data and analytics to the world's most sophisticated capital market participants. BMLL offers banks, brokers, asset managers, hedge funds and global exchange groups immediate and … office snacks! For more information, please visit our website, www.bmlltech.com or visit our Twitter, @bmlltech or LinkedIn, @BMLL. About The Role BMLL Vantage is the market leading product for visualisation of financial time-series data. Every day we consume 250GB of new data across 750,000 securities to deliver into our platform, our data services and our visual products. In … 1TB of trading analytics. We are seeking a skilled Software Engineer to enhance and expand the product. This role involves building pixel-perfect, interactive, rich-feature, high-performance data visualization dashboards using React, TypeScript, and cutting-edge visualization libraries such as D3.js and Highcharts. You'll collaborate closely with the backend team, data engineers, data analysts, and product team to More ❯

data stakeholders the role focuses on developing and implementing new data, analytics and business intelligence products throughout the business. You will be an expert in data modelling and data visualisation, demonstrating innovative new approaches to data visualisation dashboards, ensuring products are intuitive, scalable and available for mobile technologies as well as normal web delivery. Main Duties and Responsibilities Contribute towards … BI Developers Technical Experience An honours degree or equivalent. Data warehouse design and development experience (Kimball Methodology, building fact and dimension tables) Substantial relevant experience in working with data visualisation software Power BI. Experience of other visualisation tools such as Tableau and Qlik considered Substantial experience with Azure framework to include Azure Data Factory and Azure SQL Server. Experience of More ❯

needs. The position is hands-on, supporting projects with a focus on: Data analysis and reporting: Conduct in-depth analyses, generate reports, and provide actionable insights. Data and BI visualisation: Create dashboards using tools like Power BI, Tableau, Quicksight. Client interaction: Understand client needs, develop analytical solutions, and present findings clearly. You will ensure outcomes for users are delivered, considering … Data cleansing and standardisation: Experience resolving data quality issues. Data integration tools: Basic experience with ETL tools and ensuring data interoperability. Collaboration: Working with data professionals to improve practices. Visualisation requirements: Ability to understand and create suitable visual data representations. Visualisation tools: Experience with Tableau, Power BI, or Python libraries; interest in accessibility standards. Learning from peers: Open to feedback More ❯

Communicate complex technical concepts simply and clearly to both technical and non-technical stakeholders What We’re Looking For 4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure … ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing dashboards A passion for social impact and a drive to help us succeed Bonus points if you have: Experience working with public sector clients Familiarity with privacy, security, and information governance in data projects Why Join? Mission-driven work: Make a real difference in people’s lives More ❯

Communicate complex technical concepts simply and clearly to both technical and non-technical stakeholders What We’re Looking For 4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure … ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing dashboards A passion for social impact and a drive to help us succeed Bonus points if you have: Experience working with public sector clients Familiarity with privacy, security, and information governance in data projects Why Join? Mission-driven work: Make a real difference in people’s lives More ❯

Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm’s) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector such as streaming video services such as VoD/Avod or other subscription services … Data analyst role s with at least 2 years experience building Marketing Mix Models (mmm’s) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector such as streaming video services such as VoD/Avod or other subscription services … statistical modelling techniques. • Proficiency in Python and/or R. • Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). • Ability to use data visualisation tools such as Looker/Tableau. • Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. • Strong clarity of communication, able to present to More ❯

on experience with various techniques including regression, classification, clustering, and time series forecasting. Data Pipelines : Experience in building and maintaining efficient data pipelines to support data science initiatives. Data Visualization : Expertise in using visualization tools (e.g., Power BI, Tableau, or matplotlib) to present complex data insights. End-to-End Project Delivery : Proven experience taking a data science project from concept More ❯

edge mental health technology, using data to drive insights and improve treatment solutions. Ideal candidates will have a strong analytical mindset, experience handling large datasets, and proficiency in data visualization and statistical tools. Working closely with cross-functional teams, the role involves extracting key insights, optimizing processes, and supporting business decisions through data-driven strategies. If you’re passionate about … data pipelines. Qualification & Experience Must haves: 3+ years in data analytics Strong proficiency in SQL Confident with Google Sheets/Excel Able to create high quality dashboards with data visualization tools like Tableau/PowerBI/Looker Hands-on experience in building data models with data transformation tools like Dataform/dbt Ability to work in a fast-paced, collaborative More ❯

your work will directly influence business strategy, growth initiatives, and long-term customer value. Our data warehouse is hosted in Big Query and we use Power BI as our visualisation tool. What You'll Do Develop and maintain robust LTV (Lifetime Value) forecasting models to inform marketing spend and retention strategies. Build demand forecasting models to ensure demand planning aligns … learn, statsmodels). Strong SQL skills and experience working with large datasets in modern data environments. Experience working with cross-functional growth or marketing teams. Competent user of data visualisation tools Comfortable working in fast-paced, agile environments with changing priorities. Excellent communication skills with the ability to explain complex topics to non-technical audiences. Nice to Have Experience in More ❯

of Operational Intelligence you will work across all operational divisions providing, for all services, a rolling programme of demand and capacity modelling. You will demonstrate advanced SQL and data visualisation abilities, providing advanced technical expertise in analysis, interpretation and presentation of complex data/information to senior Operational, Clinical and Executive staff within the Trust. You will develop new and … to attend a wide variety of meetings including with members of the executive team and you must be confident in presenting information. You will also be skilled in data visualisation, delivering insightful and impactful analytics using Tableau. You will have excellent leadership qualities, be highly motivated and will ensure tasks are delivered on time. You will be proactive and innovative More ❯

consulting If you know some of this, even better: AI, Cloud & MLOps Familiarity Experience on projects deploying AI/optimization solutions on cloud platforms (AWS, Azure, GCP). Data Visualization & BI Tools Proficiency in dashboarding and visualization platforms (Tableau, Power BI, Looker) to craft compelling, data-driven recommendations for stakeholders Agile & Lean Delivery Practices Certification or experience in Agile methodologies More ❯

and Marketing Proven ability to manage extensive datasets and work with relational databases. Advanced expertise in SQL, including crafting comprehensive procedures from the ground up. Proficiency in using data visualization platforms like PowerBI and Tableau. Skilled in leveraging Python for ETL processes and data analysis tasks. In-depth knowledge of A/B testing and statistical significance methodologies to evaluate More ❯

gathering, cleaning, and organising large datasets from multiple sources. Data Analysis: Learn how to perform basic data analysis, generate insights, and identify trends using various tools and techniques. Reporting & Visualisation: Help create reports and data visualisations to communicate findings to stakeholders, learning how to present data in an easy-to-understand format. Collaboration: Work closely with senior analysts and other More ❯

gathering, cleaning, and organising large datasets from multiple sources. Data Analysis: Learn how to perform basic data analysis, generate insights, and identify trends using various tools and techniques. Reporting & Visualisation: Help create reports and data visualisations to communicate findings to stakeholders, learning how to present data in an easy-to-understand format. Collaboration: Work closely with senior analysts and other More ❯

gathering, cleaning, and organising large datasets from multiple sources. Data Analysis: Learn how to perform basic data analysis, generate insights, and identify trends using various tools and techniques. Reporting & Visualisation: Help create reports and data visualisations to communicate findings to stakeholders, learning how to present data in an easy-to-understand format. Collaboration: Work closely with senior analysts and other More ❯

. 5+ years of experience in data analytics, preferably within a digital agency or similar environment. Proficiency with analytics tools such as Google Analytics, Adobe Analytics, Contentsquare and data visualisation platforms (e.g., Tableau, Power BI). Strong statistical analysis skills and experience with data processing tools (e.g., SQL, Python, R). Excellent communication and presentation skills, with the ability to More ❯

setting orin consulting Experiencewith Machine Learning and statistical modelling techniques Strongprogramming skills in R and/or Python Experienceapplying advanced analytics and Machine Learning to solve businessproblems Experiencewith data visualization software/libraries (Tableau, PowerBI) Comfortworking both on a team and autonomously Strongwritten and verbal communication skills, ability to simply and conciselyexplain complex analytical topics Entrepreneurialspirit-we are a fast More ❯

fraud detection, customer behavior analysis). Conduct data preprocessing, augmentation, and feature engineering to prepare datasets for AI/ML models. Analyze large-scale datasets using statistical methods and visualization tools to extract meaningful insights. Utilize advanced data engineering techniques to build robust data pipelines, ETL processes, and scalable AI solutions. Knowledge of text-to-speech and speech-to-text More ❯

using Microsoft Excel for organizing and analyzing data Some familiarity with SQL or a strong interest in learning it Exposure to tools like Power BI, Tableau, or other data visualization platforms is a bonus, but not essential An eye for detail and a problem-solving mindset Clear communication skills and the ability to share insights with both technical and non More ❯