Data analysis is central to informed decision-making. Professionals in this field utilise their analytical skills to interpret data, identify trends, and deliver valuable insights. As a Data Analyst, you will collect, process, and analyse data to extract significant insights that guide crucial business decisions.
Roles encompass Business Analyst, Marketing and Financial Analyst. Precision, statistical expertise, and data visualisation skills are crucial. Data Analysts excel in industries ranging from finance to healthcare, technology, and more, fuelling innovation and efficiency. Whether revealing consumer trends or enhancing operations, a career in data analysis offers ongoing development and impact in the data-driven world.
The individual will partner with the Product team, Global Delivery (operations) and Technology to execute on the custody data strategy particularly focused on data delivery channels, logical data model, cloud native data platform, and data insight progression of analysis, visualization and prediction, in alignment with Custody product's strategic objective to strengthen State Street's position in the Asset Servicing industry. Alignment of ISO based logical data model to custody capabilities and data consumption marts supporting distribution channels. Support design and efficiency of the operating model such as the development of operational control oversight and dashboard across the custody capability with actionable workflows, partnering with technology and operations
Partner with product control in development of custody product data visualization platform to provide insight into the business. Proven change agent with track record of delivery
Have an understanding of a techniques and tools, key areas of focus - data management, BI tool usage, dashboarding, charting, report development, data visualization
Strong stakeholder management skills with an ability to navigate organization
Prior experience of successfully delivering change in a complex environment while managing competing environments and delivering projects using Agile and Waterfall techniques
Proven change agent with track record of delivery
Experience with mapping business and system process flows using standard tools (Visio, ARIS, etc.
As an Environmental Data Analyst you will develop and run coded solutions to aid the collation and analysis of data collected by the field team and where appropriate following laboratory analyses. Through the use of developed code and software tools analyse, interpret and present data interrogation findings relevant to the Marine Wildlife and/or Environmental disciplines (training will be given where required). Computer or Data Science, Software Development or Marine Science)
Proven coding knowledge and software creation experience. Being part of the Boskalis Group also provides access to a vast range of opportunities literally across the globe! 5 hours a week)
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Job Description
Job Description
The Data Analytics Manager role is a key member of the Interchange & Pricing Strategy (IPS) team helping the function promote and develop an insight driven culture, creative analytic solutions and best practices to support Visa's pricing and interchange activities in Europe with a specific focus on compliance and legal related projects. 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. Ability to extract and manipulates large volumes of multifaceted data using SQL with experience of the Hadoop Ecosystem, including Hive and Impala with demonstrable programming ability in different languages (R and Python are essential). Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
You'll be working on a high-profile client project, gaining hands-on experience with large datasets and contributing to data-driven strategies. Collaborating with stakeholders and clients to understand their data needs and deliver actionable insights.
This will be on a 12-month contract with an expectation to be taken on permanently with the client upon completion. Be responsible for taking control of data governance policies and rules across multiple asset classes. Experience with data governance and policies. Paying in the region of £90,000 - £100,000 per annum.
Continuing to support our clients with this rapid change, we have created a team of the best analytical legal minds with investments in cutting-edge technology and technologists in our Digital Legal Delivery (Digital) practice. Leveraging experience to map the intersections where people and tech deliver results, this team supports businesses undergoing their own digitisation projects and those who seek disentanglement from the manual and inefficient processes in the delivery of legal services. Working collaboratively with colleagues from across the firm, we use our expertise in law, process design and technology to deliver solutions for our clients. We combine our expertise in document automation, custom development, eDiscovery and data analytics and client reporting - to work collaboratively across the firm on disputes, transactions and projects. We experiment with technology and pilot tools to understand them deeply: their potential challenges and benefits, and how they can be used in our day-to-day work to provide better solutions for clients. The role will ensure the overall provision of high quality services and will play a key part through effective consultancy in building the reputation of the Data Analytics Team, both internally and externally. Manipulating and presenting numerical data in formats that are easily understood by a broad range of stakeholders, providing concise narratives to back up the numbers. People at our firm come from a range of backgrounds and bring a wide variety of experiences and perspectives to their work with us.
Continuing to support our clients with this rapid change, we have created a team of the best analytical legal minds with investments in cutting-edge technology and technologists in our Digital Legal Delivery (Digital) practice. Leveraging experience to map the intersections where people and tech deliver results, this team supports businesses undergoing their own digitisation projects and those who seek disentanglement from the manual and inefficient processes in the delivery of legal services. Working collaboratively with colleagues from across the firm, we use our expertise in law, process design and technology to deliver solutions for our clients. We combine our expertise in document automation, custom development, eDiscovery and data analytics and client reporting - to work collaboratively across the firm on disputes, transactions and projects. We experiment with technology and pilot tools to understand them deeply: their potential challenges and benefits, and how they can be used in our day-to-day work to provide better solutions for clients. The role will ensure the overall provision of high quality services and will play a key part through effective consultancy in building the reputation of the Data Analytics Team, both internally and externally. Manipulating and presenting numerical data in formats that are easily understood by a broad range of stakeholders, providing concise narratives to back up the numbers. People at our firm come from a range of backgrounds and bring a wide variety of experiences and perspectives to their work with us.
Job Description
Your Mission
You will be a part of a joint team of machine learning engineers and data scientists building and evolving ML models, real time systems, reports, and deep analysis of fraud detection and mitigation activities to protect merchants, their customers, and Teya from fraudulent activities.
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.
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.