876 to 900 of 2,026 Permanent Visualisation Jobs

Policy Law pertaining to AI and emerging technology Desired Qualifications (NOT REQUIRED): Experience with Power BI or other BI software. Experience with Python, R, Tableau and or other data visualization tools Compensation Range: $140-200k Working at Edgesource: As an ISO 9001:2015 certified and CMMI Level 3 appraised small business, Edgesource specializes in providing a variety of technical More ❯

Technical Expertise: Expert-level proficiency in Google Analytics (GA4), Mixpanel, BigQuery, Redshift, and advanced Google Sheets functions Strong SQL skills for data extraction, manipulation, and analysis Experience with data visualisation tools (Tableau, Looker, or similar) Familiarity with statistical analysis and A/B testing methodologies SEO & Growth: Deep knowledge and hands-on experience with SEO analytics, including tools like SEMrush More ❯

people, and strategy. Specifically, we're looking for someone with: Experience leading portfolio analytics, PMO insights or similar within a large, complex change environment. Advanced skills in data analytics, visualisation, Agile, and relevant tooling. Strong data storytelling skills, with experience influencing executive stakeholders. Strong leadership and management skills with a people-first approach. A track-record of negotiating and influencing More ❯

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 ❯

economic prosperity. The objective of this project is to enhance the ability of Office of Strategic Industries and Economic Security (SIES) to conduct technical analysis, research, data analytics, data visualization for the BIS Export Administration (EA). In support of this program, strong candidates will demonstrate expertise in data analysis, survey methodologies, U.S. export policies, and all-source research related More ❯

Excel (Array and Statistical formulas) - Experience using data to influence business decisions PREFERRED QUALIFICATIONS - Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts - Knowledge of visualization tools such as Tableau, Datazen, SSRS - Experience back office operations, escalation management and troubleshooting environments Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯

and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops and discussions with clients to explore innovative use cases for Data & AI, fostering collaborative ideation and problem-solving. More ❯

data to improve IT investments. As an IT business analyst, you'll oversee leading-edge data analytics products and system compliance frameworks. Guiding your team of data engineers, data visualization analysts and other functional subject matter experts, you'll identify clients' business needs, gather user requirements, and develop operational, organizational and technical solutions. You'll understand the overall direction and More ❯

support to exploitation, intelligence analysis, and product development to include statistical and trend analysis, data manipulation and format conversion, data collection/querying from various systems, data formatting for visualization and presentation, and database design and data entry form development. • Apply scientifically based approaches to help solve complex problems and issues to include statistical data analysis, knowledge discovery, and mathematical More ❯

e.g., Consumer Duty, Fair Value). Interpret data and technical information to support business decisions. What you will need to be successful Numerical: Proficient in advanced data analysis and visualisation using SQL, Python, R, Excel, and Looker; experienced with additional BI and analytical tools as required. Ability to present data clearly and accurately in presentations to internal and external stakeholders More ❯

Proven leadership skills with the ability to manage and develop a high-performing team. Strong understanding of workforce planning and capacity management. High proficiency in Microsoft Excel and data visualisation tools (e.g., Power BI, Tableau). Experience working with workforce management software and time & attendance platforms. Excellent attention to detail, organisational skills, and ability to work to tight deadlines. Strong More ❯

5+ years experience working with open data encoding standards (JSON, XML), and related schemas/dictionaries/tooling 5+ years experience working with data-driven APIs Experience with data visualization Experience in the SIGINT domain Experience with Linux operating systems and utilities Experience with scoping and planning data engineering projects Proven ability to work as a self-started with minimal More ❯

and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops and discussions with clients to explore innovative use cases for Data & AI, fostering collaborative ideation and problem-solving. More ❯

and methodologies related to enterprise architecture, solution architecture, and program management. Ability to work in Agile environments and apply solution architecture principles to transformation projects. Proficiency in data analysis, visualization, and decision support tools and techniques. Desired Skills and Competencies: Experience with office equipment (e.g. copiers, postage meters, audio/visual) Knowledge of database management, reporting and data entry procedures More ❯

leveraging IoT for operational improvements. Practical experience implementing Artificial Intelligence (AI) and Machine Learning (ML) solutions to optimise business processes and decision-making. Expertise in data management, analytics, and visualisation tools to extract actionable insights and drive data-driven decision-making. Proficiency in applying advanced data technologies to enable predictive maintenance, optimisation, and innovation within the organisation. Experienced in working More ❯

Services (SOAP, WSDL, etc.), Middleware, Design Patterns, JUnit, Eclipse IDE and database technologies Familiarity with Couchbase, MongoDB, Marklogic, Teradata Experience with Cloud technologies and environments (AWS, Azure) Experience in Visualization (D3, Sigma.js, Linkurious, Sawyer) Hands-on experience with Neo4j Graph DB Why Join Neo4j? Neo4j is, without question, the most popular graph database in the world. We have customers in More ❯

from analytics platforms (e.g. GA4, Adobe Analytics) and delivering insights that drive measurable business outcomes in a fast-paced environment Proficient in SQL and BigQuery, with experience using data visualisation tools (we use Looker Studio and Tableau); Python is a plus but not essential Deep understanding of key eCommerce and subscription metrics such as Sessions, Bounce Rate, Conversion Rate, Retention More ❯

configuration, and best practices. Proven ability to manage projects independently, with high customer orientation and persuasive skills. Innovative mindset with a good understanding of data-driven AI possibilities. Creative visualization skills for complex concepts. Problem-solving skills and results-oriented approach. Excellent communication and presentation skills, capable of high-impact delivery. Fluent in English, with additional languages considered a plus. More ❯

e.g. model selection, evaluation, and sensitivity. Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical); Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations). Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions 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 ❯

power user of AI development tools and have a mindset for building AI-augmented workflows Desirable Experience building tools for technical users (ML, robotics, infrastructure) Experience with scientific data visualisation or complex data interfaces Experience with large-scale job orchestration frameworks such as Flyte, Spark or similar. Knowledge of GraphQL, Prisma, Kafka, or modern cloud infrastructure (Azure, GCP, or AWS More ❯

assessments for AI/ML deliveries Integrating and fielding a range of talents and personnel spanning the full landscape of data scientist skillsets: ETL, mathematics and modeling, data engineering, visualization and storytelling, platform integration and data analytics Providing subject matter expertise and mentoring other team members Traveling occasionally to local government sites for customer meetings and demonstrations Minimum Qualifications: Must More ❯

decision-making. Provide actionable financial insights to guide decision-making at senior leadership levels. Financial System Optimization & Data Strategy: Optimize SAP Analytics Cloud (SAC) and Tableau for enhanced financial visualization and reporting. Drive SAP S/4HANA improvements supporting financial planning and analysis. Partner with IT to ensure seamless system integration and data accessibility. Stakeholder Engagement & Leadership: Serve as a More ❯

/data management initiatives, developing and implementing data governance frameworks. Experience with tools for data management/governance, master data management and data quality. Familiarity with data analysis and visualization tools such as Python and Power BI. Leadership skills with the ability to influence and inspire others, fostering a collaborative and motivated team environment. Ability to communicate, translate and present More ❯

Splunk, and Elasticsearch/Logstash/Kibana (ELK), Neo4j Operating system environments: Windows, Linux, and MacOS Software requirements management: Atlassian Suite, EPICS, Story Board Data Science: Statistical Analysis, Data Visualization, Graph Analysis, Data Engineering This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals More ❯