Whether developing a simulation model to improve forecasting accuracy or evaluating pricing strategies to maximize revenue or developing a predictive model to guide game development decisions, as just some example projects, the Data Analyst will be focused on optimization and will work to devise a variety of data products in a dynamic research environment. Develop statistical models to inform marketing, pricing, promotional activities
Fetch data from various sources both inside and outside the company and work with data engineering on data retrieval
Compile, process, re-structure, and validate clean data for analytics work
Propose new solutions; support development of experiments and interpret results to test hypotheses and drive data-driven decision-making. Familiarity with machine learning, natural language processing (NLP), and advanced analytics techniques
Proficiency in advanced statistical methods and traditional analysis techniques (e. With unconscious bias training, D&I workshops and a variety of initiatives to give our employees the opportunity to be heard and be part of that change to achieve real equality.
As Vodafone is changing to a Digital and Connectivity Services provider, where Digital First is a critical component, Vodafone Business needs to lead the way in this transformation to achieve its double-digit revenue growth ambition. You'll also get four Spirit Days a year to focus on your personal development and wellbeing, plus a host of other great benefits too
• Yearly bonus: 10%
• Annual leave: 28 days + bank holidays + the opportunity to buy/sell/carry over 5 days/year
• Charity days: 5 days/year
• Maternity leave: 52 weeks, the first 13 weeks are fully paid, followed by 26 weeks of half pay
• Private pension: You can contribute up to 5% of your basic pay with 2:1 matching from Vodafone up to 10%.
We are seeking someone with deep technical skills in a variety of technologies, specifically Ab Initio services, to play an important role in developing and delivering early proofs of concept and production implementation. Additional relevant skills in cloud technologies like Handoop, UNIX, Linux
A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
Proven experience applying domain driven design to build complex business applications. Expertise in data modelling, data warehouse design and data lake concepts and practices. One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life.
TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. This may occur in the form of images, video, and text related to every-day life, but it can also include (but is not limited to) bullying; hate speech; child safety; depictions of harm to self and others, and harm to animals. By thoroughly understanding the project background and model optimization direction as well as combining business experience and localized market characteristics, The Search Model Data Team is responsible for end-to-end project management throughout the entire project life cycle, including formulate project planning and labeling strategies/SOP, forecast resource and manpower, promote the implementation of labeling guidelines, and ensure the project delivery result. -Manage and work closely with the global data delivery team; supervise the implementation of project mechanism, data delivery and quality assurance. Preferred Qualifications:
-Proficiency ( both written and verbal) in Italian and full proficiency in English due to working with the Italian and EN/ GB market. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.
Ability to lift and move 50 lbs of equipment under raised floors, and the required use of Occupational Safety and Health Administration (OSHA) standard safety equipment such as limited weight bearing work platforms, ladders, step stools and Personal Protective Equipment (PPE) like safety harnesses. Knowledge of electrical systems used in a data center environment (e. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. This may occur in the form of images, video, and text related to every-day life, but it can also include (but is not limited to) bullying; hate speech; child safety; depictions of harm to self and others, and harm to animals. Responsibilities
- You will be responsible for resource planning for the operations delivery teams within AI Data Service and Operations to ensure the right resources are in the right place, at the right time, thereby maintaining operational efficiency. Preferred Qualifications
- Proficiency ( both written and verbal) in Mandarin and full proficiency in English due to working with the Chinese market. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.
The Data Systems department are looking to place a dynamic and creative individual who can make a strong contribution to our team and systems. Research and develop detailed analysis techniques to utilise the data sources and combine the data to find relationships using state of the art methods and lead deployment of future analytic methods. Enthusiastic, confident, willing to learn, collaborative & energetic.
The key responsibility will be to own and report on Burberry Clients KPIs (sales, productivity, retention, client portfolio growth), track them against client KPIs to drive performance and ensure Sales Associates deliver the yearly targets and remain best in class among their sales peers. Involved in a wide range of ad hoc exploratory analysis to develop a deep understanding on top client profiles and purchase behaviours as part of the wider suite of analytical tools
Work with the CRM Manager and Senior Business Analyst to understand business needs and translate them into back-end and front-end development. Ability to understand and interpret data and communicate it in a concise and relevant way to various stakeholders. Regular, effective, timely reporting and analysis.
o Operational Efficiency: Design and implement efficient data operations workflows, including data collection, ingestion, cleaning, and transformation processes backed up by rigorous and relevant SLAs and KPIs
o Data Quality Assurance: Develop and enforce data quality standards and controls. o Product Strategy Development and communication: Communicate the vision and strategy for data products and their development and availability on the Data Platform to internal clients within Investments.
Our placement students will also have the opportunity to familiarize themselves with developing tools to improve the live operational activities and the post-event analysis & checks; design and develop GUI supporting live & replay operational tasks. Engage in the continual assessment and review of systems and operations, making proposals for improvement. Ability to demonstrate practical applications and utilization of data analytic work / mathematical and/or statistical reduction on datasets
Development of bespoke data analytical and visualization tools
Excellent knowledge and skills in machine learning and computer vision
Good working knowledge of IT, Networking, communications, software systems etc.