1 to 25 of 1,205 Remote Permanent Visualisation Jobs

the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical Modelling Skills. Strong Business Analyst skills, including process mapping, requirements gathering More ❯

practices to handle and query large datasets efficiently. Knowledge of machine learning frameworks like TensorFlow or PyTorch and libraries such as scikit-learn. Proficiency in using data analysis and visualization tools to interpret data and present insights effectively. Proven experience as a Data Scientist, Data Analyst, or in a similar role, preferably within an e-commerce or a related industry. … AWS, Azure, Google Cloud) such as machine learning services and automated data pipeline tools. Familiarity with big data frameworks like Hadoop or Spark is beneficial. Skills in advanced data visualization tools and software beyond basic reporting—such as Tableau, Power BI, or even more sophisticated interactive web visualization frameworks like D3.js. Benefits 15 Days paid off + local/US More ❯

university's mission to enhance student outcomes and drive continuous improvement. About the Opportunity: As the Principal Data Analyst at Arden University, you will use your mathematics, statistical, and visualisation expertise to drive improvements in student experience, student outcomes, and operational efficiency. You'll promote the highest possible standards in analytical rigour at Arden University. You'll oversee, manage, and More ❯

university's mission to enhance student outcomes and drive continuous improvement. About the Opportunity: As the Principal Data Analyst at Arden University, you will use your mathematics, statistical, and visualisation expertise to drive improvements in student experience, student outcomes, and operational efficiency. You’ll promote the highest possible standards in analytical rigour at Arden University. You’ll oversee, manage, and More ❯

university's mission to enhance student outcomes and drive continuous improvement. About the Opportunity: As the Principal Data Analyst at Arden University, you will use your mathematics, statistical, and visualisation expertise to drive improvements in student experience, student outcomes, and operational efficiency. You’ll promote the highest possible standards in analytical rigour at Arden University. You’ll oversee, manage, and More ❯

knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity with role or attribute-based access control frameworks. Other: Must hold an Active DOD Secret, Top More ❯

analyzing data sets, generating reports, and providing actionable insights to support business decisions. The ideal candidate will have a strong foundation in SQL for data extraction, proficiency in data visualization tools like Tableau or Power BI, and basic programming skills in Python or R. You will work closely with cross-functional teams to enhance data-driven strategies and ensure data … Computer Science, or a related field. 1-2 years of experience in data analysis or a similar role. Proficiency in SQL for data extraction and manipulation. Familiarity with data visualization tools such as Tableau or Power BI. Basic knowledge of programming languages like Python or R for data analysis. Understanding of data warehousing concepts and ETL processes. Experience with data More ❯

Redshift or Azure Synapse with an understanding of automated Terraform deployment methods • Strong analytical and problem-solving skills with a detail-oriented approach to data interpretation • Expertise in data visualization tools, including Tableau (nice to have), Power BI (nice to have), and Excel (must have). • Exceptional communication and collaboration skills to work effectively with cross-functional teams. • Familiarity with More ❯

knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity with role or attribute-based access control frameworks. Other: Must hold an Active DOD Secret, Top More ❯

developing, and maintaining business intelligence solutions that transform data into actionable insights. You will work closely with stakeholders to understand their analytical needs and deliver high-quality reporting and visualization solutions. Key Responsibilities: Design and develop BI solutions, including dashboards, reports, and data models using tools such as Power BI, Tableau, or similar Collaborate with business users to gather requirements … tools and reporting processes Stay current with industry trends and best practices in BI and data analytics Required Skills: Proficiency in BI tools (Power BI, Tableau, QlikView) and data visualization techniques Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL) Familiarity with ETL processes and data warehousing concepts Experience in data modeling and designing effective reporting More ❯

drive AI initiatives. Utilize modern tools and methodologies such as Data Lakes, serverless computing (Athena/Lambda), and ETL processes to manage data storage and computational needs. Employ data visualization tools like Power BI, Tableau, or Qlik to translate data insights into actionable intelligence. Required Qualifications: 4+ years of hands-on experience in AI/ML model development, including supervised … analytical/statistical programming language (e.g., Python, R, Scala, Closure). 2+ years of experience manipulating and processing unstructured data from various platforms. 2+ years of experience using data visualization tools such as Power BI, Tableau, Elastic X-Pack (including Graph), or Qlik. Bachelor's Degree in Data Science, Computer Science, Mathematics, or a related field; a combination of education More ❯

updated on advancements in analytics tools, techniques, and best practices within project management. Analytics & Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability to interpret complex data … controls, or financial management within infrastructure, construction, or energy sectors. Proven experience in developing analytics solutions and driving data-led decision-making on large, complex projects. Knowledge of data visualization tools (e.g., Power BI, Tableau), advanced Excel, and coding languages such as Python, SQL, or DAX. At CMR we have a strong culture driven by our 9 Core Principles. We More ❯

updated on advancements in analytics tools, techniques, and best practices within project management. Analytics & Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability to interpret complex data … controls, or financial management within infrastructure, construction, or energy sectors. Proven experience in developing analytics solutions and driving data-led decision-making on large, complex projects. Knowledge of data visualization tools (e.g., Power BI, Tableau), advanced Excel, and coding languages such as Python, SQL, or DAX. At CMR we have a strong culture driven by our 9 Core Principles. We More ❯

project milestones and objectives. Cloud Data Engineering: Lead the design, build, and maintenance of cloud-native data pipelines using ETL/ELT, streaming, and modern data processing techniques. Data Visualisation & Analytics: Oversee the provision of scalable, cloud-based analytics and data services that empower business decision-making. Operational Support & Troubleshooting: Ensure high availability and reliability of cloud data solutions by … high-performance environment. Desirable: Data Science & AI Exposure: Understanding of ML, AI, or advanced analytics in cloud environments. BI & Reporting Tools: Familiarity with Power BI, Tableau, or Looker for visualisation in cloud platforms. Automated Testing & Monitoring: Experience using ICEDQ, QuerySurge, or cloud-native monitoring tools. What we offer A competitive salary - let's discuss it Hybrid working Group Personal Pension More ❯

predictive analytics background, preferably in customer marketing - Strong expertise in data analysis and statistical modelling. Experience of data science and machine learning techniques. - Significant experience and strength in data visualisation and storytelling - able to communicate complexity in a straightforward and visually engaging manner, creating a compelling narrative. - Proficiency in analytical tools such as SQL, Python, R. - Proficiency in data visualisation More ❯

practices. BI Solution Development: •Design, develop, test, and deploy end-to-end Business Intelligence solutions using Alteryx for data preparation, SQL for data transformation and storage, Tableau for data visualization, and R/Python for advanced analytics. •Design, implement, and maintain ETL pipelines using Alteryx to extract data from diverse source systems (e.g., relational databases, APIs, flat files), transform it … on experience in Business Intelligence and Digital Transformation projects. •ETL Expertise: Proficiency in Alteryx Designer, including the ability to design and implement complex ETL workflows, and optimize performance. •Data Visualization Proficiency: Proficiency in Tableau Desktop, including the ability to create interactive dashboards, complex calculations, custom visualizations, and performance optimization. •SQL Development Skills: Mastery of SQL, including the ability to write More ❯

value creation. About the Department The Business Intelligence team is a core function responsible for managing the entire reporting and analytics lifecycle-from requirements gathering and data extraction to visualisation, testing, and delivery. The team provides critical support across finance, treasury, risk, and strategic planning, while also managing enterprise BI tools and platforms. With a focus on excellence, the team More ❯

activities and achieving milestones. Cloud Data Engineering: Lead the design, build, and maintenance of cloud-native data pipelines using ETL/ELT, streaming, and modern data processing techniques. Data Visualisation & Analytics: Oversee scalable, cloud-based analytics and data services to enable business decision-making. Operational Support & Troubleshooting: Ensure high availability and reliability of data solutions, providing second-line support and More ❯

Commitment to self-development & learning. Affinity with our values; in particular, respect for individuals, diversity and integrity. Desirable but not essential: Experience with R and/or Python, data visualisation tools such as Power Bi. Desirable but not essential: experience in Alteryx, Microsoft Azure, databases and querying using SQL, AI, tool development and the Microsoft Power Platform. Inclusion and Diversity More ❯

snowflake schemas, dimensional modelling, and data vault 2.0, and of the principles of ETL technical design • Experience with SQL Server Analysis Services (SSAS) is a plus. • Familiarity with data visualization tools such as Power BI or Tableau is desirable. • Experience with source control tools like Git, and familiarity with DevOps practices is an advantage. • Ability to write efficient and optimized More ❯

Strong understanding of data modelling, schema design, and building maintainable ELT/ETL pipelines Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code practices Familiarity with data visualisation tools (Tableau, PowerBI, Looker) and analytics frameworks Leadership & Communication Proven experience leading technical work streams and mentoring junior team members Exceptional communication skills with ability to explain complex technical concepts More ❯

knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity with role or attribute-based access control frameworks. Other: Must hold an Active DOD Secret, Top More ❯

Transformation team, and People Analytics Data Engineer to ensure data architecture aligns with dashboard requirements and business needs. Support the migration, and maintenance of People Analytics dashboards across multiple visualisation platforms including Tableau, Power BI, and SAP Analytics Cloud (SAC). Help establish and maintain data quality standards, validation procedures, and governance protocols across people-related datasets. Lead UAT processes … tight deadlines. Excellent communication and stakeholder management skills. Preferable Experience with Tableau, Alteryx, Tableau Prep. Hands-on experience with SAP SuccessFactors, SAP Analytics Cloud (SAC). Knowledge of data visualisation best practices and dashboard design principles. Experience with ETL processes and data transformation workflows. Understanding of HR data structures, key metrics, and reporting requirements. Experience supporting HR system migrations or More ❯

analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache More ❯

data into actionable insight. Understanding of customer segmentation techniques, customer acquisition and lifetime values, predictive analytics, and forecasting. Expert of data manipulation and programming in SQL. Expert of Data Visualization tools such as Power BI, Tableau, etc. Experience in marketing campaign analysis. Can demonstrate commercial awareness with an understanding of the retail environment. Team player with proven leadership skills. Excellent More ❯