151 to 175 of 1,043 Visualisation Jobs

manage multiple priorities and work effectively. Strong experience with dbt and Snowflake . Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker , Power BI , or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

manage multiple priorities and work effectively. Strong experience with dbt and Snowflake . Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker , Power BI , or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake. Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker, Power BI, or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake. Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker, Power BI, or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake. Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker, Power BI, or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

third-line support for data services. Manage incidents, requests, problems, changes, and assets in the Digital & Data team. Develop and maintain best practices for data management from source to visualisation (data prep, integration, modelling, testing, reporting, analytics). Document deployed data solutions (process flows, security, error handling, etc.) Maintain and support existing data management solutions. Deliver training to business users More ❯

team members. Key Skills & Experience: 5+ years of experience in Azure (ADF, Data Lake, Synapse). Strong SQL skills for data integration and reporting. Experience with Power BI for visualization and analytics. Familiarity with Python (preferred but not currently in use, planned for future projects). Knowledge of modern data warehousing techniques. Ability to work effectively in both Waterfall and More ❯

innovation goals. - Manage JIRA project tracking, maintain Confluence documentation, and oversee code design for efficient development and collaboration. - Lead technical design and implementation of data models, ETL processes, and visualisation tools (BigQuery, Airflow, SSIS, Tableau, SSRS). - Define and implement best practices in data modeling, including data warehouse and lakehouse integration (Medallion Architecture). Skills and Experience: - Strong understanding of More ❯

Requirements Proven experience using data analytics to support audit or risk functions. Strong proficiency in SQL and Python in a professional setting. Solid understanding of databases, data warehousing, and visualisation principles. Ability to explain complex technical topics to non-technical audiences. Experience with Power BI, Google Cloud, or data science methods (ML, NLP, Generative AI) desirable. Financial services experience advantageous. More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

recommendations. You will have strong analytical skills and experience in CRM or database fundraising (charity sector preferred). You will be proficient in Power BI, Excel, SQL, and data visualisation tools as well as an understanding of data protection regulations. You will have excellent communication skills and a collaborative approach. You will need to be confident to present finding, suggest More ❯

and Data Profession framework or equivalent). Advanced knowledge of Microsoft 365 tools, particularly: SharePoint, MS Project Online, Power BI (or similar BI tools), Excel (advanced functions, modelling, and visualisation) and SQL Server Experience working with major systems such as Salesforce CRM, Oracle, and ServiceNow. Strong understanding of data analysis techniques, able to produce clear, compelling, and insightful reports and More ❯

a high-growth, data-driven environment. I'm looking for: Strong SQL skills for data extraction and manipulation Python experience (data wrangling, cleaning, analysis - modelling not required) Familiarity with visualisation tools such as Power BI, Tableau, or similar Proven ability to interpret and present insights to non-technical stakeholders Experience in financial services, lead generation, or a fast-paced commercial More ❯

and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services). Expertise in Natural Language Processing, clustering algorithms, text embeddings, LangChain and LLM deployment. Strong knowledge of data visualisation tools such as Power BI, DAX and Power Query. Experience in data pipeline automation and data governance in large-scale environments (Desirable). Familiarity with modern AI frameworks and open More ❯

technology agnostic. Proficiency in SQL and experience with data engineering coding languages such as Python, R, or Spark. Understanding of data warehouse and data lake principles. Experience with data visualisation tools such as PowerBI or Tableau. Leadership or mentoring experience within a technical team. Agile and/or DevOps project delivery experience, including peer reviews and continuous improvement practices. Familiarity More ❯

Data Science should have: Proven experience in data science and analytics, ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining AI and machine learning models, including use of deep More ❯

Data Science should have: Proven experience in data science and analytics, ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining AI and machine learning models, including use of deep More ❯

management frameworks and lifecycles• Experienced in portfolio planning, scheduling and resource management• Excellent attention to detail and accuracy Technical Proficiency • Advanced Excel skills• Power BI for report creation and visualisation• PPM tooling experience• Microsoft Project Desirable • Experience with change frameworks and continuous improvement initiatives Our Culture We are a values driven organisation that believes in collaboration, transparency and continuous improvement. More ❯

testing and experimentation to evaluate new initiatives and identify performance improvements. Leading key projects that translate complex data into clear, actionable insights to guide strategic direction. Leveraging advanced data visualisation techniques to communicate analytical findings in a compelling and accessible way. Monitoring and fine-tuning model performance to ensure continuous accuracy and reliability. Using advanced machine learning techniques (including NLP More ❯

systems (e.g., Microsoft Project Online, MS Office 365 suite). The skills you'll need: Strong proficiency in Power BI, Power Query, and PPM software. Advanced skills in data visualisation, dashboard design, and analytics. Experience using SQL, DAX, and Power Query for ETL processes. High-level analytical and data management capabilities. Background in PMO and data analytics, ideally within a More ❯

are developmental opportunities within the team where you will have freedom to be creative by using your existing skills and by developing new ones in the use of data visualization tools and analysis techniques. Closing Date: 16th November 2025. Shortlisting Date: 17th November 2025. Interview Date: 24th or 28th November 2025. Test/Presentation: assessments on PowerBI, SQL, Excel For More ❯