626 to 650 of 1,976 Visualisation Jobs

and evaluating the state of the art in machine learning algorithms for text analytics Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford More ❯

R and key frameworks (TensorFlow, PyTorch, scikit-learn) - Skilled in handling large datasets, data wrangling, and statistical modelling - Comfortable working independently on end-to-end ML pipelines - Experienced in visualisation tools (e.g. Matplotlib, Seaborn, Tableau) Desirable: - Exposure to cloud platforms (AWS, GCP, Azure) and big data tools (Hadoop, Spark) - MSc/PhD in Computer Science, AI, Data Science, or related More ❯

years of business intelligence and analytics experience. 5+ years of managing a business intelligence or analytics team, including employee development and performance management. Experience with SQL, ETL, and data visualization tools like Tableau or Quicksight. Experience with statistical or machine learning software such as R, Python, SAS, or Matlab. 4+ years working with large data warehousing environments. 10+ years in More ❯

data sources and develop data processes to enable more scalable and accurate reporting. Basic qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to More ❯

data sources and develop data processes to enable more scalable and accurate reporting. Basic qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to More ❯

/hundreds of thousands of touchpoints weekly) Strong analytics background – able to manipulate and interrogate data Hands-on with tools like SQL , Excel , Python/R Exposure to data visualisation tools (Power BI, Tableau, etc.) Collaborative mindset and a strategic view of how data can drive performance 📅 Interview Process: Initial 30-min call with HR Final stage: On-site interview More ❯

into geographical sales trends, market demand, and performance drivers Presenting findings to senior stakeholders, translating technical insights into strategic recommendations Requirements Must-have: Strong SQL expertise and a data visualisation tool, ideally Power BI Preferred: Experience with DBT or Fivetran Solid understanding of cloud-based data warehousing and ETL workflows, such as Snowflake Multiple years of experience in data engineering More ❯

teams Skills & Experience: ✅ Proven experience as a Data Analyst on ERP or large-scale system migration projects ✅ Strong SQL skills and familiarity with Excel, Power BI or other data visualisation tools ✅ Experience working with legacy systems and integrating into modern ERP platforms (e.g., Oracle, SAP, Workday, Unit4, etc.) ✅ Knowledge of data governance and data quality best practices ✅ Excellent communication and More ❯

teams Skills & Experience: ✅ Proven experience as a Data Analyst on ERP or large-scale system migration projects ✅ Strong SQL skills and familiarity with Excel, Power BI or other data visualisation tools ✅ Experience working with legacy systems and integrating into modern ERP platforms (e.g., Oracle, SAP, Workday, Unit4, etc.) ✅ Knowledge of data governance and data quality best practices ✅ Excellent communication and More ❯

Key responsibilities include: Stakeholder Management - Engaging with teams to understand data needs and provide solutions. Data Analysis & Interpretation - Identifying trends, patterns, and insights to drive decision-making. BI Reporting & Visualisation - Creating reports and dashboards to present data effectively. Collaboration with Data Teams - Working alongside data engineers and BI developers to ensure data accuracy and quality. Testing & Documentation - Coordinating user testing More ❯

Experience Strong background in data transformation projects SQL and Python for scripting and analytics Airflow (or equivalent workflow orchestration tools) Power BI , and optionally Plotly/Dash for data visualisation Strong experience with AWS or equivalent Spark or Kafka (experience with one or the other expected) Proficiency in data modelling techniques such as Star or Snowflake schema Experience designing and More ❯

tools. Experience working with Git, CI/CD pipelines, and in Agile environments. Ability to write clean, maintainable, and well-documented code. Exposure to Power BI or similar data visualisation tools. Knowledge of IoT data pipelines is a plus. More ❯

in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical More ❯

experience in data analytics, with strong SQL, Python, and dbt skills Experience delivering client-facing reports and internal performance insights A background in a B2B business Comfortable with data visualisation tools (ideally Tableau) A natural problem-solver with a proactive, collaborative approach Strong communicator, able to explain complex data concepts to non-technical stakeholders Previous leadership or mentoring experience is More ❯

experience in data analytics, with strong SQL, Python, and dbt skills Experience delivering client-facing reports and internal performance insights A background in a B2B business Comfortable with data visualisation tools (ideally Tableau) A natural problem-solver with a proactive, collaborative approach Strong communicator, able to explain complex data concepts to non-technical stakeholders Previous leadership or mentoring experience is More ❯

in yield, pricing, or forecasting optimisation - ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical More ❯

solutions. • Excellent problem-solving, analytical, and communication skills. • Ability to work independently and as part of a team. • Bonus Points If You Have: • Experience with Power BI for data visualization and reporting. • Familiarity with other Microsoft Azure services (e.g., Azure Functions, Logic Apps). • Knowledge of JavaScript, JSON, or other scripting languages. • Microsoft Power Platform certifications (e.g., PL-100, PL More ❯

technologies: - Azure AI Services - Azure PaaS Data Services - Object Oriented Analysis and Design - CI/CD and source control - ETL techniques and principles - Data modelling - Master Data Management - Data Visualization Experienced in building Microsoft AI Services Reporting and analytics solutions in the Microsoft Azure ecosystem This is a great opportunity and salary is dependent upon experience. Apply now for more More ❯

strategic and operational excellence. What You'll Bring Experience: 3+ years in data science, preferably in gas and power trading. Expertise: Strong Python skills, machine learning proficiency, and data visualization capabilities. Academic Background: Degree in Computer Science, Mathematics, Statistics, or a related field. Problem-Solving Skills: Exceptional analytical abilities to tackle complex challenges. Collaboration: Effective communicator and team player with More ❯

Apply statistical, mathematical, and AI models to large and complex datasets Design and implement machine learning algorithms to identify patterns and predict outcomes Develop data pipelines, analytical models, and visualization tools to support decision-making Collaborate with mission teams to translate requirements into data science solutions Perform exploratory data analysis, feature engineering, and model validation Communicate findings through clear visualizations More ❯

leadership. Experience owning and delivering dashboards, reporting tools, or analytics solutions. Experience analyzing large data sets, data quality, and data warehousing. Proficiency in creating dashboards using Excel, SQL, and visualization tools. Experience with Agile methodologies. Previous coding experience in R, Python, or VBA. Amazon is an equal opportunities employer. We believe that a diverse workforce is central to our success. More ❯

Proficiency in SQL Strong knowledge of credit risk concepts and metrics (PD, LGD, EAD) Demonstrated experience in credit risk analysis, ideally within fintech or lending Solid skills in data visualisation and presenting technical results to non-technical stakeholders Excellent attention to detail and analytical problem-solving Desirable Skills Experience in SME lending environments Familiarity with Python for data manipulation and More ❯

Proficiency in SQL Strong knowledge of credit risk concepts and metrics (PD, LGD, EAD) Demonstrated experience in credit risk analysis, ideally within fintech or lending Solid skills in data visualisation and presenting technical results to non-technical stakeholders Excellent attention to detail and analytical problem-solving Desirable Skills Experience in SME lending environments Familiarity with Python for data manipulation and More ❯

Proficiency in SQL Strong knowledge of credit risk concepts and metrics (PD, LGD, EAD) Demonstrated experience in credit risk analysis, ideally within fintech or lending Solid skills in data visualisation and presenting technical results to non-technical stakeholders Excellent attention to detail and analytical problem-solving Desirable Skills Experience in SME lending environments Familiarity with Python for data manipulation and More ❯

team environment, gaining valuable experience in this fast-growing field. Key skills required: Strong Excel skills, including pivot tables Experience with large data volumes; familiarity with databases and data visualization tools is advantageous but training will be provided Analytical and problem-solving mindset Effective communication skills with confidence in presenting and influencing Positive attitude and team player Excellent organizational skills More ❯