1 to 25 of 1,891 Visualisation Jobs

knowledge of Informatica Data Quality (IDQ) for data profiling, cleansing, and monitoring. Strong analytical and problem-solving skills, with expertise in statistical analysis and data modeling. Proficiency in data visualization tools (e.g., Tableau, Power BI). Experience with ETL processes, data warehousing, and data pipeline development. Excellent communication skills, with the ability to translate complex data findings into actionable business More ❯

. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications More ❯

Advanced SQL skills with proven ability to manage and analyse large-scale, complex datasets. Experience with database platforms such as SQL Server, Oracle, SAS, or Access. Familiarity with data visualisation tools (e.g. Power BI, Tableau) for insight generation and reporting. Knowledge of AI and Machine Learning models for risk scoring and predictive analytics. Expertise with Financial Crime platforms such as More ❯

as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience working on mobile attribution solutions (Appsflyer, Singular)[4] ● Experience working on a mobile game More ❯

Data Science, Statistics, Computer Science, Economics, Mathematics, or a related field. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, or similar). Familiarity with statistical analysis and data modeling techniques. Experience with Python or R for data manipulation and analysis (preferred). Excellent problem-solving More ❯

as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience working on mobile attribution solutions (Appsflyer, Singular)[4] ● Experience working on a mobile game More ❯

ensure data quality, consistency, and security. * Innovation & Best Practices: Stay current with Power BI features and BI industry trends, continuously improving reporting capabilities and adopting best practices in data visualization and analytics. * Performance Optimisation: Monitor, troubleshoot, and optimize BI solutions for performance, scalability, and reliability. * Training & Support: Provide guidance and training to end-users, enabling them to leverage BI tools More ❯

models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. Clear and adaptable communicator, able to explain technical topics to business audiences and translate More ❯

Python, SQL, PySpark, R, SAS ML/AI: Scikit-learn, TensorFlow, NLP, Time-Series Forecasting Data Engineering: ETL, Data Wrangling, Data Pipelines Cloud Platforms: AWS, Azure, GCP (Data Services) Visualization: Power BI, Tableau, Matplotlib, Seaborn Domain Expertise: Financial Services, Risk Management, Payments, Compliance, Customer Analytics Other: Agile/Scrum, Model Validation, Data Governance More ❯

in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. Proficiency in data analysis tools and languages such as SQL, Excel, Python, or R. Experience with data visualization tools like Tableau, Power BI, or Looker. Strong understanding of statistical methods and data modelling techniques. Ability to work with large datasets and manage multiple tasks effectively. Strong communication skills More ❯

teams. Communicate findings and insights clearly to both technical and non-technical audiences. Technical Skills & Knowledge Strong experience with SQL (SQL Server essential; Snowflake desirable). Proficiency with data visualisation tools such as Tableau or Power BI. Familiarity with the Microsoft Power Platform is advantageous. Good working knowledge of Microsoft Office 365. (Desirable) Understanding of Python, Business Objects, or other More ❯

columns, measures, and advanced data modeling in Power BI. • Strong grasp of data governance principles and best practices for ensuring data quality, consistency, and integrity. • Deep understanding of data visualization techniques, with hands-on experience designing intuitive and impactful dashboards in Power BI. • Skilled in SQL for data extraction, transformation, and analysis across diverse data sources. • Exceptional communication skills, with More ❯

Pandas, NumPy, or Scikit-learn Exposure to machine learning concepts or blockchain architecture Coursework or personal projects involving data analysis, AI/ML, or distributed systems Knowledge of data visualisation tools like Power BI or Tableau Benefits Fully funded, accredited qualifications Bespoke technical and business skills training A health cash plan 26 days annual leave Regular mentoring and personal development More ❯

problem-solving skills Willingness to learn and continuously improve technical and professional skills Competency with Microsoft office applications including Excel Some experience of using data tools (e.g. SQL, Python, visualisation tools such as Power BI/Tableau etc) would be an advantage but not essential. Training You will undertake a Level 4 Data Analyst Apprenticeship where you will learn the More ❯

machine learning applications. Familiarity with cloud-based infrastructure, preferably Azure. Expertise with Data Warehousing/Data Lakes. Proficiency in SQL for data extraction and analysis. Strong experience with data visualization tools such as PowerBI and Tableau. Understanding Java is a plus. Desired Behaviors Independence: Ability to solve complex problems independently as an advanced individual contributor. Adaptability: Demonstrates flexibility and openness More ❯

and integrity across various systems. Support compliance and data-related projects, collaborating effectively with stakeholders. Technical Skills & Knowledge: Strong experience with SQL (SQL Server essential). Proficiency with data visualisation tools (e.g., Tableau or Power BI). Solid understanding of relational databases, data modelling, and storage structures. Good working knowledge of Microsoft Office 365. (Desirable) Familiarity with the Power Platform More ❯

and integrity across various systems. Support compliance and data-related projects, collaborating effectively with stakeholders. Technical Skills & Knowledge: Strong experience with SQL (SQL Server essential). Proficiency with data visualisation tools (e.g., Tableau or Power BI). Solid understanding of relational databases, data modelling, and storage structures. Good working knowledge of Microsoft Office 365. (Desirable) Familiarity with the Power Platform More ❯

least one scripting language (e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non More ❯

least one scripting language (e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non More ❯

least one scripting language (e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non More ❯

least one scripting language (e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non More ❯

least one scripting language (e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non More ❯

least one scripting language (e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non More ❯

in Data Science, Statistics, Economics, Computer Science , or a similar field. Minimum two years' experience in a Data Analyst or Business Intelligence role. Advanced proficiency in SQL and data visualisation tools (Power BI, Tableau, or Looker Studio). Experience using Python or R for analysis or automation. Strong understanding of digital marketing analytics (Google Analytics 4, Google Ads, Meta Ads More ❯

analyse and interpret data, with keen attention to detail Basic experience with data modelling Exposure to programming languages such as Python or R is an advantage Familiarity with data visualization best practices Team player willing to collaborate in a fast-paced and diverse environment Excellent English and Mandarin communication skills, with the ability to present findings in a clear and More ❯