and presentation skills. High proficiency in Microsoft Excel with extensive experience with data analysis and advanced use of formulas. Experience with reporting and data visualization skills using BI tools. Basic knowledge and experience with SQL is required. Knowledge and experience with Paid Search and Pay-Per- Click (PPC) advertising and more »
or business analysts Proficient in SQL working with large-scale, complex datasets from multiple sources. Advanced skills in Excel as well as any data visualization tools like Amazon Quicksight, Tableau, or similar BI tools. Experienced in ETL, data modeling and big data tools. Preferred qualifications Engineering experience. People management experience 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 »
Python to analyse data using standard analytical libraries such as Pandas and, ideally, with building web apps using Flask . Experience with modern data visualisation platforms , ideally Tableau. Track record of continuous learning and innovative thinking. Exposure to Agile processes, preferably Kanban and Scrum. Good stakeholder management skills , able to more »
abilities, capable of leading quantitative analyses and translating insights into actionable strategies Superior Excel/Google sheet analysis skills including modelling. Proficient in data visualisation tools such as Tableau or Qlik Strong leadership, influence, and execution skills across all cross-functional levels Ability to manage multiple projects simultaneously and prioritise more »
if you have: 2-3 years of data analytics experience. 2.1 minimum at degree level (or equivalent). Proficiency in Microsoft Excel and data visualisation (software-agnostic). Experience with Salesforce Datorama, Google Analytics, and Looker Studio preferred. Experience with SQL/R is helpful, but not required. Demonstrated ability more »
Greater London, England, United Kingdom Hybrid / WFH Options
Foundry
well as automotive, footwear, apparel and technology companies such as Mercedes, New Balance, Adidas and Google. Foundry partners with these companies to solve complex visualization challenges to turn incredible ideas into reality. The company’s products are used to create breathtaking visual effects sequences on a wide range of feature 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 »
will collaborate closely with Engineers, software developers, and business leaders to define precise product requirements, offer analytical support, and provide valuable feedback. Building data visualisation insights and reports, explaining the commercial impact and value of the technical work Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics more »
data querying and manipulation. Experience managing dbt (Data Build Tool) for building and maintaining data transformation pipelines. Ability to build Tableau dashboards for data visualization and reporting. Familiarity with GCP (Google Cloud Platform) for data storage and processing. Basic knowledge of Python for automation tasks is advantageous. Experience with Databricks more »
the analytics space with a track record of driving business impact Proficiency in Python, R, SQL, and Power BI with experience across other BI visualisation tools and cloud technologies Experience in industries such as retail, finance, or consumer goods Evidence of operating at a strategic level with the ability to 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 »
teams and driving stagey across Data Science and Analytics. In-depth knowledge of statistical analysis techniques and methodologies Proven experience in data analysis and visualization tools, such as SQL, Tableau, Power BI, or similar tools Excellent communication skills, presentation skills and a growth mindset Ability to work effectively in a more »
leveraging SQL to extract data and R and Python for modelling and statistical analysis, building code and tools. They also have PowerBI for data visualization, but any similar tool will be considered. Responsibilities: Be responsible for analysis related to understanding customers, CRM & Loyalty, marketing performance, and broader retail Insight requirements more »
databases and big data platforms, as well as public or private APIs and standard data formats, like JSON, YAML and XML. Experience with data visualization tools, such as Tableau and Power BI will be valuable. The ability to design and implement reporting dashboards that can track key business metrics will 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 »
Experience Data engineering experience (2+ years) Cloud platform proficiency (e.g., AWS, Azure, GCP) Data pipeline development (e.g., Airflow, Apache Spark) SQL proficiency, database design Visualization tools knowledge (e.g., Tableau, PowerBI, Looker) Data Engineer Application Process This is a 1 year contract requirement with a start date ASAP; CV's are 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 »
Operational Research, Physics, Chemistry, Engineering or Computer Science). 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 Experienced in mining large and complex customer data sets – both structured and 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 »
need to succeed As a Data Analyst, you will be a highly experienced, dynamic MS Power BI specialist, who is adept at Datamodelling, data visualization and dataset preparation, to deliver and implement effective reporting solutions. You will have: Strong SQL and Power BI (DAX or Power Query or R) skills 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 »
Greater London, England, United Kingdom Hybrid / WFH Options
Aquent
marketing funnel metrics -Sound understanding of sales cycle and business metrics (conversion, MRR, churn), with experience in tracking and reporting them -Experience with data visualisation tools such as Tableau, Micro Strategy, etc. -A proactive “can-do” attitude, with the ability to work autonomously in a fast-paced, cross-functional environment more »
experience in designing and conducting complex quantitative and qualitative analyses that identify trends in workforce behaviours. Expert knowledge and practical application of data analytics, visualisation and reporting using various tools. Experience in PowerBI and Alteryx is desirable First-hand knowledge and application of predictive modelling and statistical methods (such as more »
