51 to 75 of 203 Visualisation Jobs in the South East

data quality, and data lineage concepts. Knowledge of data security best practices, including encryption, access controls, and compliance with data regulations. Proficiency in data visualization tools and techniques for conveying complex data concepts. Excellent problem-solving skills and the ability to analyze and address complex data-related challenges. Exceptional communication more »

tools, alongside exceptional Python knowledge. In addition, you should have excellent SQL skills for querying and analyzing large datasets, and have experience with data visualization tools such as Power BI or Grafana, ideally within a financial services environment. My client is committed to paying a strong increase on any base more »

machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »

machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »

Days holiday, plus bank holidays, Enhanced Pension, health schemes, Sick pay (up to 52 wks), Required Skills Power BI DAX/M Data Visualisation and Design SQL (SQL Server) SSAS (Tabular) Relational and Dimensional Data Modelling Experience with Tabular Model development with the use of Visual Studio ETL (Data Cleansing more »

experience showing application of insight which address business questions. An advanced user of SQL with the ability to code from scratch. Exposure to data visualisation tools and building out engaging dashboards using PowerBI, Qlik, Looker, Tableau or similar Strong Understanding of digital marketing channels and the role they play within more »

standard tools. Utilise Dynamics 365's analytics capabilities to gain valuable insights into customer behaviour and trends. This includes utilising Power BI for data visualisation and analysis. Conduct thorough unit testing and participate in integration testing to ensure the functionality and performance of developed components. What you bring: In-depth more »

to drive business growth Develop and implement forecasting models to predict future demand and optimise pricing strategies Oversee development and management of data pipelines, visualisation platforms, reporting and data warehouses to ensure data is fit for purpose and optimied About you: Degree in related degree i.e. data science, mathematics, statistics more »

confidently with non-technical stakeholders Experience resolving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis Strong visualisation skills including experience with Tableau Familiarity with Databricks and PySpark for data manipulation and analysis Familiarity with Git-based source control methodologies, including branching and more »

related role. Strong knowledge of database management systems, data analytics tools, and reporting software. Experience working with MI systems Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI). Managing a team This role is hybrid near Milton Keynes. The client can't provide sponsorship. more »

Engineer or Databricks Certified Developer Experience with real-time data processing and streaming technologies like Apache Kafka or Azure Event Hubs Knowledge of data visualization tools, such as Power BI or Tableau Contributions to open-source projects or active participation in the data engineering community more »

data lifecycle. Strong Python coding experience. 2+ years of commercial experience developing in Snowflake. Good understanding of cloud principles (ideally Azure but flexible) Data visualisation experience is desirable also (ideally Power BI) This role will be based in Central London, and they operate a hybrid remote working policy. The expected more »

track record of delivering insights and recommendations to stakeholders - Strong analytical skills, with the ability to work with complex data sets - Expertise in data visualisation tools such as Power BI or Tableau - Excellent communication skills, with the ability to translate complex data into actionable insights - Strong stakeholder management skills, with more »

the financial services or energy trading industry Expertise in Python and its ecosystem of libraries and frameworks for data processing, data analysis and data visualisation Airflow, detailed understanding of architecture including schedulers, executers, operators Cloud Environments, understanding of principles, technologies and services for AWS/Azure Kubernetes EKS/AKS more »

. Strong programming skills in one or more languages. Familiarity with data modeling, database design, and data integration. Proficiency in at least one data visualization tool, such as PowerBI, Tableau, or similar. Knowledge of database management systems (DBMS) and proficiency in SQL Server or similar platforms. Experience with JavaScript, HTML more »

more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Delivering insights using visualisation tools or libraries (Javascript preferred) Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform) Strong interpersonal skills more »

data governance, catalogue, lineage and associated tools. - Experience in setting up SLAs and contracts with the interfacing teams. - Experience working with and configuring data visualisation tools such as Tableau. - Ability to work independently and as part of a team in a fast-paced environment. - Experience working in a DevOps culture more »

using cloud services for database management. · Must-Have: Experience with implementing data security best practices. · Nice-to-Have: Experience with D3.js (or similar data visualization libraries). · Nice-to-Have: Experience operating TDD and CI/CD methodologies. · Nice-to-Have: Experience with building cloud infrastructure for Snakemake/Nextflow more »

within Financial Services/Energy Trading or Energy domains. Minimum 5 years of work experience. of financial market data, data analytics, data modelling, data visualization are advantageous. understanding of data analysis and experience working with data analytics tools (incl. SQL/python), databases, and data visualization technologies (e.g., Power BI more »

experience - Asset Management/Insurance SQL experience Data Platform support experience (e.g Finbourne, Markit EDM, GoldenSource, Alveo, Murex, Aladdin etc.) Power BI reporting and visualisation experience (incl DAX) Knowledge of Azure services Understanding of AWS platforms Excellent Communication skills through a variety of mediums Ability to communicate technical IR issue more »

see: Proficiency in data manipulation and analysis using SQL and Python Familiarity with web analytics tools including Adobe and Google Analytics Experience in data visualisation (Tableau, Looker, PowerBI etc.) Experience in a client facing role What's in it for you: This role is open to varying levels of experience more »

Proficient in SQL and delivering quick insights. - Advanced knowledge of customer analytics methodologies. - Expertise in Google Analytics and web analytics solutions. - Strong storytelling and visualisation skills with tools like Tableau or PowerBI. - Detail-oriented with excellent problem-solving skills. - Experience presenting to non-technical stakeholders and managing projects. - Proficiency in more »

Mine/Analyse and interpret data Experience with delivering Customer insights and understanding the customer journey Reporting/Analysing on the performance of Data Visualisation tools: Power BI, Tableau and excel Backend Analytics : Googe Analytics (GA4)/Looker Studio It would be beneficial to have worked with Sales and Marketing more »

MSc in computer science, maths, physics or STEM subject. Basic knowledge of statistics and machine learning. Experience with Spark, Apache services, ETL tools, Data visualization and dashboards. Experience with streamed data processing, parallel compute, and/or event based architectures. Experience with web-scraping tools and techniques. Data Software Engineer more »

the financial services or energy trading industry Expertise in Python and its ecosystem of libraries and frameworks for data processing, data analysis and data visualisation Experience with cloud AWS services, such as S3, EC2, RDS etc Experience with Front Office trading systems & financial market data Experience with large scale data more »