You will work closely with cross-functional teams, including Product, Marketing, and Finance, to provide actionable insights that drive business decisions, enhance the user experience, and drive revenue growth. Translate business requirements into technical specifications for data projects.
They will also utilize their skills in data engineering to support and assist with building data pipelines, integrations, and ETL (extract, transform and load) process's that will support the strategic vision and growth of the analytics function at ATS. ) • Support the team with the design and optimization of systems focused on performance and reliability • Support the team with the development and maintenance of Extract, Transform, and Load Processes (ETL's) throughout integrated systems • Assist with evaluating and implementing new data engineering tools and Technologies. , TensorFlow, PyTorch, Scikit-learn) • Experience with databases (SQL, Influx) • Knowledge of data warehousing and ETL processes • Familiarity with tools like Hadoop, Spark, or Kafka • Experience with cloud services such as AWS, Google Cloud, or Azure • Understanding of software engineering principles and best practices • Experience with version control systems (e. The best people want to work with the best team - the best teams are diverse and inclusive teams. We offer COMPETITIVE Total Rewards - Competitive starting salaries, overtime pay eligibility, paid vacation, Employee Incentive Bonus program, comprehensive health and dental benefits including Lifestyle Spending Account, 4% RRSP matching program and optional Employee Share Purchase Program A place to BELONG: We celebrate our differences and ensure that all employees have equal opportunities for growth and development.
Our mission is to deliver and install Europe's data centres with precision and care. From managing specialised computer transport, and IT relocation services, to logistics and planning, and data centre commissioning and decommissioning; we adapt our 40+ years of expertise to every situation. Cabling server racks by patching and dressing fibre and copper cables (in certain regions, and training will be provided). Requirements The role requires flexibility and adaptability to changing situations and customer requirements, so the candidate must be comfortable working under pressure and on strict timelines. Language proficiency: B1 level in English and A2 level in the country of employment. Prior experience with the installation of structured cabling, including fibre and copper. Company pension plan (varies by region, subject to local employment laws).
In 2024 we achieved our 12th year in a row as a Sunday Times Top 100 company to work for and in 2023 were awarded Campaign's number one media agency to work for accolade for the second year running. All qualified applicants will receive consideration for employment without regard to age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race (which includes colour, nationality and ethnic or national origins), religion or belief, sex or sexual orientation.
The successful applicant will bring fresh data solutions and ideas for the variety of client projects, covering the way the data is collected, stored, applied and presented. This is an opportunity to join a fast-growing unit and to play a key role in its development and growth. Work with the data team to determine the best data infrastructure to maximise analysis. Commercially strong and particularly in story-telling skills to key stakeholders and clients. Technically self-sufficient with a desire and ability to research and pick up new tools and techniques quickly. Experience in managing a small data team and mentoring.
We're not just any proptech - we're backed by some of the biggest names in the business, including A/O PropTech, Highland Europe, Mubadala, RXR Digital Ventures and Target Global and work with some of the world's most prominent real estate players. The Role We are seeking a highly skilled and motivated Product Manager (Data & AI) with a strong technical background to lead and manage our Data Science, AI, and Analytics initiatives. Collaborate with the CPTO, other product managers and the strategy team to ensure alignment between AI and analytics initiatives and the overall product strategy. Work closely with cross-functional teams, including data scientists, engineers, and designers, applying AI research to deliver AI-powered solutions that achieve business objectives. Define and monitor key product metrics and KPIs for the analytics suite to measure its success and user adoption. Analyse market trends and competitor offerings to identify opportunities for differentiation and innovation. Build and maintain strong relationships across the organisation to ensure alignment and support for AI and analytics initiatives. Applied AI research skills, with the ability to experiment and innovate to bring cutting-edge solutions into the product suite. Proven experience (5+ years) as a Product Manager, with hands-on experience in developing AI, data science, and analytics products. Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries.
You will play a key role in improving our proposition for users on both sides of our marketplace, through analysing and interpreting data to provide actionable insights, and developing crucial business reporting to contribute to our data driven decision making. Create regular ad hoc reporting and analysis, with the ability to present findings to both technical and non technical audiences Support the wider analytics and data science community here at carwow, with knowledge shares and peer programming. Strong technical skills in SQL and a desire to learn python Ability to work in fast paced multi discipline teams to deliver high quality analysis that informs business decisions and drives business growth Experience of using web analytics tools a plus (Amplitude, Google Analytics, Adobe Analytics etc) You have a deep interest and aptitude in data, metrics analysis, trends and applied knowledge of measurement, statistics and product evaluation. We know that diverse teams are strong teams, so we welcome those with alternative identities, backgrounds, and experiences to apply for this position.
McLaren Advanced Projects McLaren Advanced Projects (MAP) is a multidisciplinary engineering unit that works on many of the most ambitious technical challenges at McLaren Racing. McLaren Advanced Projects also collaborates with McLaren Automotive on hypercars and supercars and undertakes projects on a wide range of scientific and engineering projects for our partners. Team members bring a wide range of skills to bear on our projects, from aerodynamics and computational fluid dynamics to lightweight structures and composites, data science and advanced simulations. You will proactively ensure that our databases operate at peak efficiency through tuning and optimisation, will partner with platform engineering to ensure the highest standards of operational excellence for our database platforms including monitoring, alerting, and problem resolution, and will work closely with engineering teams to optimize data models and queries, propose indexes to improve performance, and work with McLaren Enterprise IT teams on capacity planning and management. Work with teams to evaluate application use cases and available technologies, to provide the best tool for the job that will deliver optimal performance and cost efficiency. Data Pipeline Design and Implementation: Experienced in designing and implementing data pipelines (ETL/ELT/streaming) for robust data ingestion, transformation, and distribution, ensuring access to reliable data for analysis and decision-making. Open mindedness to ensure high flexibility and the capacity to manage and lead others through rapid and profound changes of scopes, development directions and processes. We work hard to create a culture of continuous improvement and support with a proactive approach to management and personal development. Our large campus includes a gym, restaurant and indoor and outdoor break-out areas, as well as direct access to park land.
Purpose of the Role Join the IT department as the Data Delivery Manager where you'll be accountable for the delivery of the Data Office's core projects, representing the data team in the IT Demand Management process and play a pivotal role in delivering Bentley's data vision to support our Beyond 100 transformation. Our IT function is restructuring into a streamlined capability driven organisation, building value streams such as data strategy, and will deliver greater partnership with our functions and impactful technological value realisation. #BelongingAtBentley Motivated to be the most diverse, inclusive luxury car company, we are committed to fostering an inclusive environment where all individuals are respected, valued, and empowered.
Role Purpose: The Master Data Management Architect leads master data projects to enable the Global Master Data team deliver superior business experience In addition, the Global Master Data Project Manager design, develop, maintain and continuously optimizes the master data cross-domain technical program, ensuring a common, efficient and agile Lonza master data management. Perform risk assessment, testing and validation of data management technical solutions Train the master data community on master data management solutions. You have a Bachelor's or Master's degree in data science, computer science, mathematics, business information technology or business administration, logistics or supply chain. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences.