101 to 125 of 1,416 Visualisation Jobs

contact between project teams, EXL senior leadership, and client stakeholders. Develop business plans to enable successful execution of strategy. Analyze and break-down complex problems using quantitative analysis, data visualization, KPIs, scorecards, and experimental test design. Communicate solutions and complex technical projects to senior-level audiences. Coach direct and indirect reports on personal growth and analytical skills by conducting training More ❯

Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong More ❯

Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong More ❯

Science or related field 3-5 years' experience in data, financial, or commercial analysis Strong background in financial reporting and CPP analysis Advanced Excel skills and proficiency in data visualisation tools Experience with ERP systems (SAP, Oracle) and PPM platforms Fluent English communication skills, both written and verbal Knowledge of cost allocation, activity-based costing, and benchmarking Personal Traits: Detail More ❯

Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong More ❯

including data warehouses, data lakes, and/or data marts. Design conceptual, logical & physical data models. Tool and Platform Selection: Evaluate, recommend & implement tools aligned with recommended architecture, including visualization tools aligned with business needs. ETL/ELT Pipeline Mgt: Design, develop & test data pipelines, integrations to source mgt & ETL/ELT processes to move data from various sources into More ❯

experience with SQL & database management. Experience with cloud platforms such as AWS (preferred), Azure, or Google Cloud. Experience with big data technologies specifically with Databricks & Spark. Experience with data visualization tools like AWS QuickSight, Tableau, Power BI, or similar. Experience with project management tools such as Jira, SharePoint, MS Teams, MS Word and MS Excel. Demonstrated experience in the healthcare More ❯

process automation and data analysis Automation Platforms: Experience with Microsoft Power Automate, including workflow design and integration Database Management: Strong SQL skills for data extraction, analysis, and reporting Data Visualization: Experience with PowerBI, Tableau, or similar tools for creating delivery dashboards Agile Tools: Expertise in Jira, Azure DevOps, or similar agile project management platforms Analytical & Communication Skills Demonstrated ability to More ❯

off-the-shelf data processing and analytics tools to modernize methodologies • Proficiency with commercial off-the-shelf statistical tools such as Tableau, MapLarge, and/or MATLAB for data visualization and complex statistical analytics • Hands-on experience with advanced analytical methods, and a track record of applying them to meet client needs • Demonstrated experience leading technical teams in solving intelligence More ❯

of emerging technologies and continuously develop skills to stay at the forefront of data and analytics. Person Specification Essential skills and experience: Significant expertise in Power BI for data visualisation and reporting. Hands-on experience with Azure services (Azure Data Factory, Azure SQL Server). Strong understanding of dimensional modelling (e.g., Kimball methodology). Proficiency in sourcing, manipulating, and interpreting More ❯

Pro > 2.9 Other ESRI (LRS, Workflow Manager, Image Server, Reality, Velocity, Monitor, GeoEvent) Experience managing ArcGIS Enterprise (Portal, Server, etc) in a cloud environment Application and database development Data visualization (Tableau, Power BI, Voyager, web maps, dashboards) Automation (FME, VertiGIS Studio, Python, Geoprocessing, SQL) Familiarity running/training machine learning (AI/ML) models. Web frameworks and programming (Javascript, HTML More ❯

Engineering role Active Security Clearance is required Strong skills in data discovery and analysis, including schema reverse engineering and interpretation of exported datasets Experience with wireframing and designing data visualisation solutions (preferably in Power BI) Expertise in data mapping and data modelling Experience working with structured and semi-structured data formats, including JSON, XM, SQL, SAP CDS Views Must be More ❯

independently and liaise with other departments Good knowledge of Microsoft Office applications (advanced MS Excel experience) and other productivity tools (Intapp knowledge is an advantage) Proficient in using data visualization tools and techniques (e.g., Tableau, Power BI) Flexible, to work a reasonable shift schedule Exceptional problem-solving, critical thinking and analytical skills Able to contribute ideas for process improvements and More ❯

Implement data quality and data governance frameworks to ensure data accuracy, consistency, and compliance with industry standards. Perform data modelling and schema design to support data analysis, reporting, and visualisation needs Monitor and troubleshoot data pipelines, identify, and resolve performance bottlenecks, and ensure data integrity and availability. To be successful you require: Degree Qualification in Computer Science, Engineering or related More ❯

this role Were looking for a proactive analyst who combines strong technical skills with the ability to tell compelling data stories. Youll need: 25 years experience in data analysis, visualisation, and modelling. Strong SQL skills (joins, CTEs, window functions, query optimisation). Experience building dashboards in Power BI (preferred) or Tableau, including DAX and data modelling. Familiarity with cloud data More ❯

Solid experience in a data science, analytics, or consulting role, preferably in the cryptocurrency, financial services, or cybersecurity domains Proficiency in Python, Spark, SQL, and other data analysis and visualization tools and frameworks, such as Tableau, Power BI, or Splunk Experience in applying machine learning, artificial intelligence, and natural language processing techniques to solve real-world problems Excellent communication, presentation More ❯

science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices. Experience with integrating AI solutions into existing More ❯

business recommendations. Strong communication and stakeholder management skills. Degree in quantitative field such as Mathematics, Statistics, Economics, Finance, or a related discipline. Experience with machine learning techniques and data visualisation tools is a plus. What’s in it for you? Joining BNP Paribas Personal Finance means becoming part of a Top Employer UK dedicated to making a difference to the More ❯

SQL and Python (experience writing complex queries and building scalable analysis pipelines). Familiarity with big data platforms and data management tools (BigQuery, Google Analytics, etc.). Strong data visualization skills (Mode, Looker, Tableau etc.). Experience with B2C subscription products, acquisition, retention, and payments. Strong background in statistics and advanced analytics, including predictive modeling. Ability to break down complex More ❯

e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a narrative, craft a compelling More ❯

e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a narrative, craft a compelling More ❯

e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a narrative, craft a compelling More ❯

e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a narrative, craft a compelling More ❯

the adoption of data-driven decision-making and best practices throughout Freetrade. About you Solid experience with SQL for data extraction, manipulation, and analysis. Confident, practical experience with data visualization tools (e.g., Tableau, Power BI) and creating compelling dashboards and reports. Proven ability to connect KPIs and analysis to business outcomes, persuading stakeholders and using data to enhance decision-making More ❯

autonomously in high-stakes, dynamic environments. Proven ability to design, develop, and optimize data processes involving large, complex, and sensitive datasets. Experience delivering actionable analytical products through effective data visualization (e.g., dashboards, reports, dynamic tools). Strong communication skills and the ability to translate technical findings into operationally impactful narratives. Desired Skills Prior experience building analytics capabilities in austere or More ❯