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The position's responsibilities also include analyzing new data product & solution expansion opportunities and assisting in building business cases for them as necessary, as well as providing subject matter expertise and training to sales partners and customers to help advance the sales and implementation process. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. • Demonstrable prior product experience of successful product development and roll-out, and clear understanding of the impacts to stakeholders throughout the end-to-end lifecycle • Experience in presenting and turning new ideas and products into meaningful client focusing offerings • Commercial and Financial experience of managing assets such as investment funds and product P&L • Proven ability to take initiative, solve business problems, and have focus on client success • Must be a problem solver.

The Data Products Operations Manager will support the Data Products and VCA (Visa Consulting & Analytics) teams across Europe by providing advice on company policy and Data Products practices, executing activities and maintaining processes that allow the business to run effectively and efficiently, analyze project data to produce performance reports and suggesting and implementing process improvements. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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.

Participate and lead Data Governance workshops and forums building reports and dashboards to present MI to the business on progress. Requirements Knowledge, experience, skills and abilities (technical competencies) You should be an experienced Investment Data Analyst with a high level of proficiency with common reporting and analysis tools (e. Ability to analyse large volumes of data, understand business and technology processes, and read code to identify the root causes of data issues quickly and accurately.

Company Description LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our team leverages LinkedIn's unique data to better understand economic trends around the world while also utilizing economic approaches to analyze member behavior on LinkedIn. With over 800 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data scientist to have an impact and transform your career. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering and operations to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners. You will design and develop core business metrics, create insightful automated dashboards and data visualizations to track them and extract useful business insights. 1+ years of industry experience 1 + years experience with SQL or relational database query performance. Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. Elevate the internal technology function's master of data to a reputation that becomes a trusted business partner. The three primary areas of responsibility are data modelling & design, data governance & management, and the assurance of data integration & associated infrastructure. Lead the design and layout of data systems, including databases, warehouses, and lakes. Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks). Join us at Endava and be part of a dynamic team driving innovation, agility, and growth.

· Updated knowledge and LLM capabilities in developing own RAG and LLM extensions Evaluation · Review, supports and provides best practices for data analysis and modeling techniques.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. Work closely with users from all parts of business to define and resolve information flow, and content issues, helping to enable and support the transformation of business requirements into database solutions, in order to design and develop robust cutting edge systems to keep QRT business at the forefront of its field. ) for design, install, maintain, administrate, security, backup and recovery across production, back test, UAT and development environments Experience of managing security and permissions Knowledge of industry best practices Good attention to detail, testing and documentation Organized with a proactive approach to work. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success.

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. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. We are looking for passionate and talented people to join our product and operations team, to build an e-commerce ecosystem that is innovative, secure and intuitive for our users and brands. About the Team The Data Science team is a global, full-stack data team that plays an important role in empowering and driving the growth of TikTok Shop. As a Senior Data Analyst focusing, you will have the opportunity to collaborate closely with a variety of teams within the commerce business, including product, operation, marketing, and other teams. ; - Follow up the data analysis of regional operation teams in several overseas markets, support the operation effect and give follow-up optimization suggestions; - Cooperate with PM / Ops team / R&D, promote the implementation of optimization scheme, and bring about the actual improvement and growth of the business. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. We partner with multiple departments across the company to design and implement data and pipelines. Partner with data analysts, data engineers, data scientists, data governance analysts, and stakeholders to better understand requirements, find bottlenecks, and implement resolutions. Experience in writing production-stable code (preferably Python), pushing models and data pipelines to production, and iterating on models in production. Ability to develop and maintain good relations and communicate with people at all hierarchical levels. Experience with Databricks and pySpark. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles.