101 to 125 of 506 Visualisation Jobs in the South East

tools, analytics methods, and market best practices. About You: • Proven experience in data analytics, ideally within retail, leisure, or multi-market environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths More ❯

tools, analytics methods, and market best practices. About You: • Proven experience in data analytics, ideally within retail, leisure, or multi-market environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths More ❯

design and structure of data models, with a working understanding of data modelling principles. Present findings and insights to stakeholders in a clear and engaging manner. Use reporting and visualisation tools such as Power BI to deliver business insights. Contribute to the development of scalable data solutions within a cloud architecture. Key Skills & Experience: Proven experience as a technical data More ❯

reporting functions Strong understanding of agile delivery methods (e.g., sprint planning, backlog management). Proven experience in developing and managing reporting frameworks aligned to business performance Expertise in data visualisation tools, data modelling, dashboard development, and reporting automation Track record in leading and developing analyst teams, including recruitment, coaching, and capability building Excellent stakeholder management skills, balancing framework integrity with More ❯

communication skills, with the ability to adapt presentation style and messaging to suit different audiences. Proficient in SQL (essential) and experienced with R or Python (preferred). Strong data visualisation expertise, using tools such as Power BI, Looker, or Tableau to present insights effectively. Extensive background in product, web, or digital analytics, ideally gained within an eCommerce or retail environment. More ❯

communication skills, with the ability to adapt presentation style and messaging to suit different audiences. Proficient in SQL (essential) and experienced with R or Python (preferred). Strong data visualisation expertise, using tools such as Power BI, Looker, or Tableau to present insights effectively. Extensive background in product, web, or digital analytics, ideally gained within an eCommerce or retail environment. More ❯

Excel, including VBA Decision making techniques and processes Operating models and organisational design Experience of Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions. Understanding of data science, data analysis and visualisation tools and best practice. Knowledge of current software development using Python Effectively managing delivery teams to deliver high quality results. Interest and knowledge of technology and analysis approaches and best More ❯

methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

insight. What We're Looking For Proven experience in a Senior BI or data leadership role, ideally within financial services Strong technical expertise in data warehousing, ETL, and data visualisation tools (ideally Power BI) Hands-on experience with Azure data technologies Excellent stakeholder management and communication skills. A strategic mindset with the ability to influence and lead change. What's More ❯

maintain documentation in JIRA/Confluence. Front-End/UI Experience within APEX: Skills in designing intuitive dashboards or user interfaces, particularly for DQ dashboards or exception reporting. Data Visualisation & Reporting Tools: Experience with tools like Power BI, Oracle BI Publisher, or Tableau for representing data profiling results. Scripting/Automation: Ability to automate DQ checks using Shell, Python, or More ❯

maintain documentation in JIRA/Confluence. Front-End/UI Experience within APEX: Skills in designing intuitive dashboards or user interfaces, particularly for DQ dashboards or exception reporting. Data Visualisation & Reporting Tools: Experience with tools like Power BI, Oracle BI Publisher, or Tableau for representing data profiling results. Scripting/Automation: Ability to automate DQ checks using Shell, Python, or More ❯

maintain documentation in JIRA/Confluence. Front-End/UI Experience within APEX: Skills in designing intuitive dashboards or user interfaces, particularly for DQ dashboards or exception reporting. Data Visualisation & Reporting Tools: Experience with tools like Power BI, Oracle BI Publisher, or Tableau for representing data profiling results. Scripting/Automation: Ability to automate DQ checks using Shell, Python, or More ❯

modern ML/AI libraries such as scikit-learn, TensorFlow, or PyTorch Familiarity with MLOps frameworks, model deployment, and cloud-based platforms (Databricks, AWS, Azure) Strong experience with data visualisation tools and techniques; able to turn complex results into accessible insights Excellent communicator; able to explain technical concepts to non-technical audiences with clarity and empathy Passionate about collaboration, curiosity More ❯

to deliver actionable insight. Delivery ownership: Leads projects from scoping through to delivery and iteration, balancing pace with precision. Communication: Able to translate operational insight into clear business recommendations. Visualisation: Designs usable dashboards in Metabase or similar tools (Tableau, PowerBI, Looker) to support day-to-day store performance and long-term planning. Collaboration: Works well in squads, across disciplines, and More ❯

developed will be expected to cover the entire lifecycle and operational environment of large-scale renewable energy projects, including but not limited to: · Real-time and historical performance data visualization for PV and BESS assets. · Comprehensive fault detection, diagnostics, and automated alerting systems. · Revenue monitoring and financial reporting linked to power purchase agreements and grid export performance. · Predictive O&M More ❯

presence at meetings or events may be required. Key requirements: Proven experience in product analytics, data analysis, or a related field. Strong proficiency in SQL and experience with data visualization tools such as Metabase/Tableau etc Familiarity with Redshift or other similar data warehousing technologies. Excellent problem-solving skills and the ability to translate complex data into actionable insights. More ❯

specific industries such as financial services, telecoms, ecommerce or retail, which can help tailor data solutions more effectively to client needs.· Experience in building PowerBI semantic models for downstream visualisation consumption · Knowledge and or experience in data management tools such as Azure Purview or Collibra, with exposure to data cataloguing, lineage, and data quality standards.If you require any support with More ❯

specific industries such as financial services, telecoms, ecommerce or retail, which can help tailor data solutions more effectively to client needs.· Experience in building PowerBI semantic models for downstream visualisation consumption · Knowledge and or experience in data management tools such as Azure Purview or Collibra, with exposure to data cataloguing, lineage, and data quality standards. A bit about youWe have More ❯

Analytics or Data Science, ideally with exposure to Customer Success, Operations, or Digital Experience domains. Proficiency in SQL for data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge More ❯

to enhance data quality and governance Key Requirements Proven Microsoft Fabric and Azure Data Factory experience Strong ETL, data pipeline, and SQL skills Expertise in Power BI and data visualisation Background as a Data Developer/Data Engineer Experience migrating from QlikView (essential) Azure certifications beneficial Must be able to drive to site if Essex is the closest office (onsite More ❯

to enhance data quality and governance Key Requirements Proven Microsoft Fabric and Azure Data Factory experience Strong ETL, data pipeline, and SQL skills Expertise in Power BI and data visualisation Background as a Data Developer/Data Engineer Experience migrating from QlikView (essential) Azure certifications beneficial Must be able to drive to site if Essex is the closest office (onsite More ❯

to enhance data quality and governance Key Requirements Proven Microsoft Fabric and Azure Data Factory experience Strong ETL, data pipeline, and SQL skills Expertise in Power BI and data visualisation Background as a Data Developer/Data Engineer Experience migrating from QlikView (essential) Azure certifications beneficial Must be able to drive to site if Essex is the closest office (onsite More ❯

are working with a globally renowned consumer tech business on 2x key customer-centric analytics hires. THE ROLE The successful Senior Customer Analyst responsibilities will include: Use SQL and visualisation tools to analyse and communicate customer insights. Identify opportunities to optimise the customer journey - from acquisition to loyalty and retention. Design and evaluate A/B and multivariate tests to More ❯