You'll develop and manage insightful dashboards and reports, monitor key performance indicators, and present actionable insights to stakeholders. Your role will also involve predictive analytics, root-cause analysis, risk management collaboration, and ensuring compliance with industry standards. Proficiency in tools like Power BI, SQL, and Python, along … performance indicators and identify trends, deviations, and improvement opportunities. Present clear and actionable insights to stakeholders to enable effective project control decisions. Data Modelling & Analysis: Develop predictive analytics models to assess potential project outcomes based on current data and trends. Conduct root-cause analyses of project variances and … and best practices within project management. Analytics & Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability More ❯
Bing Ads, Facebook Ads, Pinterest, Amazon Ads, Amazon DSP, and The Trade Desk. Experience with advanced marketing analytics for Marketing Mix Modelling, Forecasting, and Predictive Analysis. Experience with data transformation and parsing using SQL queries, Python, or R. Experience with cloud data warehouses (e.g., Snowflake, BigQuery), visualization tools (e.g. More ❯
a closely related field. Machine learning expertise : Strong foundation in machine learning and deep learning algorithms (e.g., deep neural networks, supervised/unsupervised learning, predictiveanalysis, forecast modelling). Programming proficiency: Excellent Python programming skills with experience in developing and debugging production-level code. Bonus points: Deep learning More ❯
a closely related field. Machine learning expertise : Strong foundation in machine learning and deep learning algorithms (e.g., deep neural networks, supervised/unsupervised learning, predictiveanalysis, forecast modelling). Programming proficiency: Excellent Python programming skills with experience in developing and debugging production-level code. Bonus points: Deep learning More ❯
Power BI, Linux, Airflow. An appreciation of the main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. We are committed to creating More ❯
spanning multiple sectors including Finance, Broadcast Media, Telecommunications and more. As a Network Operations Engineer, you will be involved in day-to-day support, predictiveanalysis, and troubleshooting the network infrastructure. The opportunity also requires close interaction with Infrastructure, Datacentre, and other Operations teams, giving broad exposure to … a variety of enterprise products and technologies. What you'll be doing: Monitoring the health of the network infrastructure, using polling and monitoring and analysis tools Reacting to alerts and providing resolutions to major incidents Investigating hardware and software problems and working with manufacturer support teams to resolve issues More ❯
They currently trade Soccer, Tennis & Horse Racing, but are open to those with different sports modelling/trading experience. This role combines expertise in predictive modeling and data analysis with insights from the sports domain to create competitive models. This is an opportunity to work remotely and independently … strategies. My client is seeking quants/modellers to come on board and apply these models remotely, finding niches in different sports. Responsibilities: Designing predictive models for sports outcome forecasting Back-testing and refining models Collaborating with the trading team Working in a fast-moving environment Utilizing a modern More ❯
