extraction, transformation, and loading (ETL). Experience with Azure Synapse Analytics or similar cloud-based data warehousing solutions. Strong understanding of data modeling, data visualization, and dashboard design principles. Ability to work with large datasets and complex data environments. Excellent problem-solving skills and attention to detail. Strong communication and more »
knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau, Power BI). COMPENSATION & BENEFITS: Competitive salary up to £100,000 + bonus. Comprehensive benefits package including health insurance, pension plan. Hybrid more »
and stored procedures. • Experience with SSIS, SSRS, and SSAS. • Strong understanding of data warehousing concepts, ETL, and data modelling. • Familiarity with statistical analysis, data visualization, data mining, and data transformation. • Power BI certification is a plus. • Proven problem-solving skills and the ability to handle conflicts and troubleshoot issues. • Excellent more »
and team members to follow them. Proficiency in SQL, Python and experience with git and other command line tools and previous experience with data visualisation tools such as Tableau, Looker, PowerBI (we use Tableau) Experience in data mining and using databases in a business environment with large-scale, complex datasets. more »
Cypher Advantageous - Microsoft Azure cloud technologies e.g. Blob Storage, ADLS, Azure DevOps, Azure Logic Apps, Azure Functions Advantageous - Delta Lake storage layer Advantageous - Data visualisation tools e.g. PowerBI, Tableau, Thoughtspot, D3.js What can you expect from Mars? Work with over 130,000 diverse and talented Associates, all guided by the more »
Experience with analytical or database querying software such as SQL and Python along with cloud technology such as AWS and Snowflake Experience with data visualisation tools such as Tableau and PowerBI The ability to identify wider business impacts or opportunities across key outputs and processes. Ability to work unaided on more »
to libraries such as NumPy, PANDAS, spaCy, HuggingFace. Exposure to SQL Experience working in start-up/scale up businesses or small teams. Data visualization experience with either Tableau, Looker or Power BI A/B testing experience Experience with digital analytics tools a bonus Excellent communication skills An ambition more »
principles. Tools across other data management capabilities – data engineering, data governance, data quality, metadata management and master data management Designing and building out data visualisation solutions based on technology such as: Tableau, AWS QuickSight, Looker, ThoughtSpot A strong people leader, coach and mentor with exceptional communication skills, delivery focused with more »
to deliver under time pressureDesirable CriteriaKnowledge of payment and settlement systems, the Bank’s role within them, and the broader payments industryExperience of data visualisation, particularly using R Shiny or TableauExposure to using collaboration, version control and DevOps tools including but not limited to Jira, Confluence, Azure DevOps, GitFamiliarity with more »
Data Centric solutions for some of the most energy-intensive businesses globally. Looking for someone with strong experience of data analysis, data modelling, data visualisation, reporting, and creating algorithms. The successful hire will be contributing to a highly complex and data centric platform build, generating insights and driving decision making more »
handling conflicting perspectivesProficient in Microsoft ExcelDesired Skills (Optional):Experience with C# programmingUnderstanding of low-latency trading infrastructureProficiency in crafting RESTful APIs and using data visualisation tools like Power BI/TableauGCS is acting as an Employment Agency in relation to this vacancy.171238_1712823472Any, LondonWork From HomePermanent110000 - 115000 per annum more »
*Intega IT Recruitment Ltd*I.T & Technology Recruitment Experts*
testing, and modeling. Basic qualifications • 5+ years of SQL and experience of 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 more »
junior data scientists. Technological Proficiency: Knowledge of Large Language Models. Microsoft Suite: Proficient in Power Apps, Power Automate, Dynamics 365, and Dataverse. Database and Visualisation: Skilled in database management and data visualisation. Project Management: Strong project management skills, capable of handling multiple projects simultaneously. Analytical Skills: Excellent problem-solving abilities more »
Strong experience on Azure cloud services like Azure, ADF, ADLS, Synapse Proficiency in querying languages such as SQL, Pyspark, Python and familiarity with data visualization tools (e.g. Power BI). Strong communication skills to gather the business requirements from stakeholder and propose best solution. Define and follow best practices for more »
efficiency gains About you: Degree educated in Computer Science or related field Experience in data analysis within a technology team Proficient in SQL, data visualisation tools and Excel Experience with agile development methodologies Experience with cloud computing platforms, preferably Azure Strong analytical and problem-solving skills Excellent communication and collaboration more »
London, England, United Kingdom Hybrid / WFH Options
Morgan McKinley
gains for all data consumers. As a collaborative force, you will seamlessly integrate across central, regional, and local teams, refining our client's data visualisation strategy and elevating our collective impact. At the heart of it all lies their overarching vision: to cultivate a generation of resilient, creative global citizens more »
Campaign Manager, Facebook Ads Manager, LinkedIn Ads Manager, and digital marketing data. Strong proficiency and experience with Excel, G-sheets, SQL and data visualization tools such as Qlik, Tableau, and Google Data Studio. Strong problem-solving and analytical skills to methodically structure problems and quantify potential solution sets. Experience with more »
business requirements2+ years managing an analytics engineering team using a scrum/agile methodologyExperience working with commercial data warehouses (Redshift), ETL tools (Dbt), data visualization (Python notebook, Thoughtspot, Looker, Tableau, Hex), and Data Dictionary tools (Atlan)Demonstrated experience leading 2 or more multi-department analytics projects from inception to operationalizationDemonstrated more »
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
Azure, synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning/AI and governance. Alongside this my client is going to be going through a cloud migration to Azure. Responsibilities : Collaborate with cross more »
in a commercial or consulting environment. Proficiency in Python programming and experience developing ML or statistical models related to pricing. Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake). Bonus Points for: Experience implementing Machine Learning models and familiarity with large language more »
ensure data integrity throughout the pipeline.Monitor and troubleshoot data pipeline issues and provide timely resolution.Develop and maintain Power BI dashboards and reports for data visualisation and analysis.Perform data analysis to identify trends, patterns, and insights that drive business decisions.Stay updated with industry trends and best practices in data engineering and more »
R, or Scala. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of statistical modelling, data mining, and data visualization techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Strong problem-solving skills and the ability to more »
sensors, smart metres, and weather stations. Business Intelligence: Collaborate with cross-functional teams to translate data findings into business strategies and decision-making processes. Visualisation & Reporting: Create clear, concise, and visually compelling reports and dashboards to communicate insights to stakeholders at all levels of the organisation. Research & Innovation: Stay abreast more »
programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Technical Blog Posts Read more about what our Engineers and Data Scientists do: https:/ more »
with a strong focus on marketing and sales. Proficiency in SQL and data analysis tools such as Python, R, or similar. Experience with data visualisation tools (e.g., Tableau, Bright Analytics) and dashboard development. Experience with SalesForce.com reporting and dashboarding modules. Strong attention to detail and a commitment to data accuracy. more »
