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Top Data Jobs in Singapore
As a Managing Principal, you will deliver data projects, formulate data strategies, and support large-scale change initiatives in the financial services sector, enhancing client data capabilities and leading teams in various aspects of data management and analytics.
As an Analyst in the Instrument Reference Data team, you will manage data quality and exceptions, ensure timely delivery of quality reference data, handle corporate action events, provide subject matter expertise, and improve operational processes while collaborating with various teams.
As a Pricing Data Analyst at JPMorgan Chase, you will manage data quality, provide operational support for Securities Services and Markets, and drive improvements in reference data operations. You'll ensure a robust control framework and engage in resolving client queries while supporting various teams across the APAC region.
The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.
As a Senior Data Analyst, you will influence business decisions by leading complex projects that transform data into actionable insights. You'll work with cross-functional teams to enhance data-driven decision-making and deliver compelling visualizations. Your role includes optimizing processes and contributing to the growth of insights services within the organization.
The Product Data Analyst will leverage data analytics to drive product development and enhance user experience by collaborating closely with cross-functional teams. Responsibilities include making data-driven decisions, communicating insights, leading data strategy, recommending data logging, and providing day-to-day analytics support.
The Senior Data Analyst will conduct data exploration, perform statistical analysis, and build predictive models to extract insights for institutional clients. Responsibilities include collaborating with teams to integrate analytics into business processes, communicating findings to stakeholders, and staying current with industry trends.
The Data Operations Team Lead at PitchBook manages a team focused on improving and validating data quality within the PitchBook platform, ensuring efficient operations of datasets, onboarding new team members, and facilitating effective communication across the organization. Responsibilities include mentoring, conducting performance reviews, problem-solving data issues, and collaborating with various teams to enhance processes.
Featured Jobs
The Data Analyst will support analytics efforts by preparing and analyzing data, developing user-friendly dashboards, generating reports, ensuring data quality, and collaborating with stakeholders to meet analytical needs.
The Data Science Manager at Visa will lead the data and analytics ecosystem by translating business challenges into data solutions, driving data initiatives for strategic insights, collaborating with cross-functional teams, and developing data-driven recommendations to enhance sales and customer engagement.
As an Associate in the eDiscovery team, you'll collaborate to design and implement intelligent workflows, analyze client requirements, and ensure project deliverables meet client objectives while utilizing advanced technology for data analysis.
The Risk Data Scientist will develop data-driven solutions to optimize risk management by leveraging advanced machine learning and statistical methods. Responsibilities include collaborating with stakeholders, managing large data sets, coding, keeping up with industry trends, and presenting insights to stakeholders.
The Data Science Manager will oversee the development of generative AI applications, manage a team of engineers, guide project prioritization, and collaborate with cross-functional teams to align AI initiatives with business goals.
The Data Engineer (Python) will be responsible for ingesting data from various sources, curating data assets, collaborating with teams, deploying ML models, and architecting data pipelines to enable informed decision-making. The role focuses on enhancing the user experience through data-driven solutions.
The role involves evaluating and rating e-commerce data based on specific guidelines. Data Raters will conduct research, analyze product filters, and provide ratings while following client instructions. This freelance position allows for flexible scheduling and aims to enhance AI technologies.
The Data Analyst will support the delivery of data solutions for predictive modeling in finance. Responsibilities include identifying data sources, coordinating with compliance and legal teams, assisting with data requests and monitoring data collection processes, and maintaining data documentation.
The Data Scientist will collaborate on building scalable solutions for predictive modeling in finance, ensuring error-free data delivery, identifying new datasets, and enhancing data collection processes. Responsibilities include analyzing datasets, researching potential alpha signals, and improving data management technologies.
As a Gen AI Data Scientist at Kyndryl, you will leverage AI methodologies and statistical techniques to solve complex business problems. You will collect data, create and validate models, and deploy them into applications, while ensuring data security and accuracy. Collaboration with business stakeholders and leading AI projects and workshops is key to this role.
The Data Engineer will analyze data needs, document requirements, and implement efficient data collection mechanisms. This role includes planning and designing data engineering jobs, developing test plans, and automating processes to enhance efficiency. They will also support deployment of new solutions and ensure smooth operations of IT services, addressing production issues as needed.
The Sr. Data Scientist will lead model development for Empower’s expansion in Southeast Asia, focusing on building machine learning models and analytics to enhance customer credit access while collaborating with a team across various functions.
As a Senior Data Analyst, you'll influence business decisions by transforming data into actionable insights and visualizations. You'll partner with cross-functional teams, optimize data-driven planning, and design A/B tests to enhance retention strategies.
As a Junior Data Engineer, you will support the Regional Data team by building data pipelines, ingesting data sources into the data warehouse, and creating tools for data consumers. You will ensure high-quality data assets for data scientists and collaborate with cross-functional teams to enhance data-driven decision-making.
The Consultant/Senior Consultant will lead data governance initiatives and support finance transformation projects for clients in various sectors. Responsibilities include collaboration with project managers, stakeholders, and teams to streamline data processes, develop data solutions, and prepare materials for business development initiatives.
As a Consultant/Senior Consultant at Sia Partners, you will lead and support multiple client projects, develop methodologies, manage project timelines and scope, and ensure the successful delivery of data warehouse solutions. You will leverage modern development practices and engage with stakeholders while contributing to thought leadership and marketing initiatives.
The Associate, Data Engineering role at MUFG involves translating business strategies into actionable data management strategies, managing data initiatives, overseeing data quality, and developing data pipelines. The position also requires collaboration with technology and business stakeholders and oversight of data provisioning and access.
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