901 to 925 of 1,634 Visualisation Jobs

on data sources and preparation to visualize data and synthesize insights to drive business value Develop and maintain data engineering best practices and contribute to data analytics insights and visualization concepts, methods and techniques Communicate with Project lead and other team members to provide regular progress updates and raise any risk/concerns/issues Job Qualifications Core skills we More ❯

analysis. Familiarity with machine-learning workloads and common frameworks (PyTorch, TensorFlow, JAX). Comfort reading RTL or schematics and discussing micro-architectural trade-offs with hardware designers. Excellent data-visualisation and communication skills: able to turn millions of simulation samples into one decisive slide. Bachelor’s+ in EE, CS, Physics, Applied Maths or related; advanced degree preferred but not required. More ❯

complex client relationships. Highly organized with a proactive mindset and strong problem-solving skills. Good understanding of research, data analytics, or insights-driven decision-making processes. Knowledge of data visualization or Power BI is a plus. Our Values: Acting with Ownership- Demonstrating individual accountability Bringing a forward mindset- Being action-oriented, bold and entrepreneurial Collaborating with Curiosity- Exhibiting teamwork through More ❯

Description: Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization and analytics. The Level 2 Data Scientist shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining More ❯

Description: Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization and analytics. The Level 2 Data Scientist shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining More ❯

Description: Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization and analytics. The Level 3 Data Scientist shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining More ❯

dashboards and automated reporting tools using Power BI. Strong understanding of SaaS performance metrics (e.g. ARR, churn, NRR, bookings vs billings). Advanced Excel skills and experience with data visualisation tools like Power BI. Proven ability to work with senior stakeholders and explain complex financial concepts clearly. Analytical mindset with a focus on patterns, performance drivers, and root-cause analysis. More ❯

campaign insight, sales funnel optimization & implementing AI capabilities across the spectrum of marketing, sales & client management functions. You're likely an evangelist for story telling through creative, compelling data visualization, able to see simple patterns and connections where others see complexity and relish in the ability to bring people on the journey. You'll have a keen interest, and preferably More ❯

and aesthetics - creating designs that are both visually stunning and highly usable. Your Experience & Skills 5+ years of experience designing for SaaS products, preferably with a focus on data visualisation, reporting, or analytics tools. Strong UX/UI design skills, with a portfolio showcasing complex workflows and interactive, data-driven experiences. Experience in user research methodologies, including generative research, usability More ❯

identify trends and exceptions related Market Risk metrics. • Build internal and external reporting for the output of risk metric calculation using data extraction tools, such as SQL, and data visualization tools, such as Tableau. • Utilize web development technologies to facilitate application development for front end UI used for risk management actions • Develop software for calculations using databases like Snowflake, Sybase More ❯

tools, such as, Mocha/Chai, JUnit, NUnit, TestNG Experience with DevOps environments Expertise in various COTS, GOTS and open-source tools which support development of data integration and visualization applications Experience with cloud message APIs and usage of push notifications Specialization in Object Oriented Programming languages, scripting, and databases Familiar with Python, Groovy, Shell Script Clearance: Applicants selected will More ❯

You will be Educated to GCSE level or equivalent (Grade C/4) including Maths & English, have experience of extracting and manipulating data, working with multiple stakeholders, experience using visualisation tools to tell stories with data, experience working with complex data sets, have strong analytical capabilities as well as good attention to detail and have Excellent communication skills, with the More ❯

that our clients and prospects rightly perceive Ometria as the foremost data-driven Customer Data and Experience Platform platform. Key outcomes Lead the workstreams involving data extraction, transformation, analysis, visualisation for Ometria's Architect 360 offering - our innovative, AI-driven consultancy solution, designed to uncover hidden revenue opportunities within a customer's data - ensuring that both the retail intelligence team More ❯

alignment, and clarity on priorities. Establish regular leadership check-ins and decision-making forums to drive data led insight generation. Skills, Knowledge, and Expertise Expertise in business analysis, data visualisation and programme management. Strong background in business strategy, SaaS operating models & data models. Ability to drive cross-functional collaboration and leadership engagement. Data-driven mindset with proficiency in reporting, dashboard More ❯

streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead reviews and approvals for Data Engineering, Data Science, and Data Visualization projects via data architecture review board. Promote best practices in data governance, security, data protection, and risk management. Operational Excellence Oversee monitoring of live data products and lead response to More ❯

alignment, and clarity on priorities. Establish regular leadership check-ins and decision-making forums to drive data led insight generation. Skills, Knowledge, and Expertise Expertise in business analysis, data visualisation and programme management. Strong background in business strategy, SaaS operating models & data models. Ability to drive cross-functional collaboration and leadership engagement. Data-driven mindset with proficiency in reporting, dashboard More ❯

streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead reviews and approvals for Data Engineering, Data Science, and Data Visualization projects via data architecture review board. Promote best practices in data governance, security, data protection, and risk management. Operational Excellence Oversee monitoring of live data products and lead response to More ❯

ensuring that our clients and prospects rightly perceive Ometria as the foremost data-driven Customer Data and Experience Platform. Key outcomes Lead the workstreams involving data extraction, transformation, analysis, visualisation for Ometria's Architect 360 offering - our innovative, AI-driven consultancy solution, designed to uncover hidden revenue opportunities within a customer's data - ensuring that both the retail intelligence team More ❯

R/Python (nice to have). Experience utilising GA4/Big Query to extract user journey insight, and Optimizely (or alternative A/B testing tool). Strong visualisation skills (e.g., PowerBI, Looker, Tableau etc.). Expert communicator, with the ability to flex their presentation style based on the audience. Additional Information Along with your benefits package we also More ❯

that are building mission-critical applications on top of AWS services. BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries, Statistical Analysis packages such as R, SAS and Matlab - Current More ❯

s future by building and innovating the digital data experience for our clients. The Product Manager will be responsible for the management, development and growth of Securities Services Data Visualization platform for clients. This role is also responsible for the development and growth of our AI-powered search application. Responsibilities: Own the strategy and roadmap for their product. The product More ❯

deadlines. Preferred Qualifications (Knowledge, Skills, Abilities, Education, Experience, Certifications, Licensure) Master's degree in computer science, business administration, or a related field. Experience working with relational databases and data visualization tools such as Tableau. Change management certification (e.g., Prosci). Knowledge of faculty processes and university governance. Familiarity with university enterprise systems and integrations (e.g., Web Services, VIVO). Physical More ❯

teams. SQL and Reporting: Develop, maintain, and optimise SQL queries to support business processes. Design and deliver custom reports using SQL Reporting Services to provide actionable insights and data visualisation to stakeholders. Problem Solving: Identify and address technical challenges and roadblocks, offering innovative solutions to complex problems. Provide troubleshooting and support as needed across the IT ecosystem. Networking Issues Diagnosis More ❯

experience in lifecycle marketing and customer retention strategies. Data-driven mindset-confident in using metrics and analytics to inform decision-making and assess campaign effectiveness. Comfortable working with data visualisation (Tableau) and familiar with emerging AI tools. High attention to detail, highly organized, and proactive with a strong sense of ownership. Experience with tools like App Store Connect, Google Play More ❯

Experience with HR information systems (HRIS), applicant tracking systems (ATS), and automation tools Strong analytical skills with ability to create meaningful metrics and reports Proficiency in data analysis and visualization tools Understanding of employment law and compliance requirements Familiarity with software engineering roles, particularly Ruby development Understanding of technical hiring practices and engineering team dynamics Experience with performance management in More ❯