degree level (in a relevant finance related subject e.g. Economics, Mathematics, Statistics, Accountancy) Experience of working in a Professional Services environment is beneficial but not essential Experience of using visualisation tools, e.g. Power BI, would be beneficial Advanced Excel skills and a good working knowledge of Microsoft Office products (e.g. Word, PowerPoint) Team player, with the ability to work in More ❯
avanced Excel like Power Queries and knowledge of hypothesis testing are required. BASIC QUALIFICATIONS - Advanced SQL, Python, advanced Excel like Power Queries and knowledge of hypothesis testing and data visualisation tools are required. - Ability to develop models to forecast adoption, growth or profitability of some projects. - Data mining, segmentation, and other analytical techniques to capture important trends and create relevant More ❯
data sources to manage regulatory risks. Manage and support line reports in conducting high-quality analysis and presenting findings to stakeholders. Implement tools and techniques for data analysis and visualisation to enhance risk assessment processes. Assist with and lead change projects in data management and other initiatives. Champion the integration of advanced risk analysis and intelligence across the organisation. Support More ❯
techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a view on continuous improvement. • Excellent communication and visualization skills to present findings to diverse audiences • Proven experience with machine learning models, statistical analysis, and A/B testing • Strong interpersonal skills with experience engaging senior stakeholders • Natural problem More ❯
techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a view on continuous improvement. • Excellent communication and visualization skills to present findings to diverse audiences • Proven experience with machine learning models, statistical analysis, and A/B testing • Strong interpersonal skills with experience engaging senior stakeholders • Natural problem More ❯
translate analytic insights into concrete, actionable recommendations for business or product improvement. BASIC QUALIFICATIONS - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 5+ years of business or financial analysis experience - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and More ❯
needed - Provide input on suggested business actions based on analytical findings. BASIC QUALIFICATIONS - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 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 Matlab - Experience using SQL to More ❯
Execute on our internal and external financial reporting requirements, from month-end management reports to Board reporting; Work with team leads on commercial reporting and analysis, preparing real-time visualisation reports in Tableau; Support the review and preparation of forward-looking forecasts, analysis, and reporting; Collaborate cross-team with product, marketing, and sales teams on company-wide initiatives to drive More ❯
Beginner courses include overviews of data exploration and visualization. The program also includes modules focused on advanced areas within data science, such as data analysis with Python and data visualization with R. Cost: $ 234 Validity: Credentials do not expire Cloudera Certified Professional (CCP) Data Engineer The Cloudera Certified Professional Data Engineer certification consists of several aspects of data engineering within More ❯
What will you bring to the table? Extensive experience in analytics role with experience in web analytics Fluency in SQL, Python or any data mining language along with super visualization skills. Experience with GIT, developing and maintaining SQL & Python based orchestrator jobs for the relevant measurement data transformations. Comfortable navigating through big data in a cloud environment, prior experience with More ❯
What will you bring to the table? Extensive experience in analytics role with experience in web analytics. Fluency in SQL, Python or any data mining language along with super visualization skills. Experience with GIT, developing and maintaining SQL & Python based orchestrator jobs for the relevant measurement data transformations. Comfortable navigating through big data in a cloud environment, prior experience with More ❯
Knowledge of SQL/Python querying language. Familiarity with Iceberg and Trino solutions. Knowledge of streaming technologies like Kafka. Experience in semantic structures or data modeling. Experience using data visualization tools such as Tableau, QlikSense, or Splunk. More ❯
through training Performing other duties as required The Person Knowledge, Skills and Experience Proven experience in areas like Statistical Modelling, AI, Machine Learning, Data Analytics, Data Engineering, or Data Visualization Experience in cleaning, processing, and modelling data with R or Python Experience analyzing datasets to address challenges or insights Delivering projects on time and quality Excellent interpersonal skills Ability to More ❯
and the ability to prioritize multiple objectives while meeting daring targets. Deep expertise in sales automation, CRM, Planning & Forecasting. Advanced skills in Excel, Gong, Salesforce, and PowerPoint. Proficient data visualization skills (PowerBI or similar platforms). Ability to interpret data and explain trends and recommendations, not just present it. Self-motivated, takes clear ownership and initiative, and knows when to More ❯
creating core analytics tech capabilities, platforms development and data engineering. We develop scalable analytics applications and research modeling to optimize operation processes. We standardize and optimize data sources and visualization efforts across geographies, builds up and maintains the online BI services and data mart. You will work with professional software development managers, data engineers, scientists, business intelligence engineers and product More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Fortice
using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the business and your clients, establishing key findings and commercially minded resolutions. Work with More ❯
using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the business and your clients, establishing key findings and commercially minded resolutions. Work with More ❯
platforms development, research science, software development and data engineering. ARTS develops scalable analytics applications and research modeling to optimize operation processes. The team standardizes and optimizes data sources and visualization efforts across geographies, builds up and maintains the online BI services and data mart. At ARTS, data engineers, data scientists, business intelligence engineers and product managers use rigorous quantitative approaches More ❯
B2B technology environment Ability to structure and execute complex analyses and synthesize into clear, actionable insights with business impact Familiar with, or demonstrated ability to learn, Business Intelligence & Data visualization tools (e.g., Tableau, Einstein) and Sales/Marketing technology such as SFDC, Clari & People.AI Excellent verbal and written communications skills, including presentation skills to all levels within the organization Experience More ❯
data integrity : Design and maintain core data flows and pipelines that ensure reliable, accurate sensor and meter data. Build software that handles complex data : From ingestion to transformation to visualisation, you’ll work across the stack to make our data usable and valuable. Collaborate across teams : Partner with Product, Engineering, and Data Science to ensure our platform supports AI-driven More ❯
data integrity : Design and maintain core data flows and pipelines that ensure reliable, accurate sensor and meter data. Build software that handles complex data : From ingestion to transformation to visualisation, you’ll work across the stack to make our data usable and valuable. Collaborate across teams : Partner with Product, Engineering, and Data Science to ensure our platform supports AI-driven More ❯
data integrity : Design and maintain core data flows and pipelines that ensure reliable, accurate sensor and meter data. Build software that handles complex data : From ingestion to transformation to visualisation, you’ll work across the stack to make our data usable and valuable. Collaborate across teams : Partner with Product, Engineering, and Data Science to ensure our platform supports AI-driven More ❯
analysis. Familiarity with machine-learning workloads and common frameworks (PyTorch, TensorFlow, JAX). Comfort reading RTL or schematics and discussing micro-architectural trade-offs with hardware designers. Excellent data-visualisation and communication skills: able to turn millions of simulation samples into one decisive slide. Bachelor’s+ in EE, CS, Physics, Applied Maths or related; advanced degree preferred but not required. More ❯
Greater London, England, United Kingdom Hybrid / WFH Options
Pavegen
AI Lead software development efforts—from firmware and scripting to platform development and UX/UI integration. Shape our data strategy: from sensor collection, cleansing, and ingestion, to analytics, visualisation, and client reporting. Explore and implement AI/ML capabilities and predictive analytics to provide deeper insights and value to customers. Leadership & Delivery Build and lead a high-performing technical More ❯
analysis. Familiarity with machine-learning workloads and common frameworks (PyTorch, TensorFlow, JAX). Comfort reading RTL or schematics and discussing micro-architectural trade-offs with hardware designers. Excellent data-visualisation and communication skills: able to turn millions of simulation samples into one decisive slide. Bachelor’s+ in EE, CS, Physics, Applied Maths or related; advanced degree preferred but not required. More ❯