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Responsible for evaluating and improving the effectiveness of our information technology systems and controls.Strong understanding of IT systems and security, and possess the ability to conduct audits, identify risks, and make recommendations to management.
The incumbent will be responsible for innovating and piloting new AI/ML technologies, along with strengthening and widening the organizations data-driven decision-making process among various other responsibilities
The incumbent will take charge of understanding and translating business needs into effective reporting/analytical solutions. This position will require the incumbent to collaborate with cross-functional teams for requirement gathering, analyze data, and design reporting solutions that drive informed decision-making.
Our job requires the incumbent to build data visualizations and provide detailed storytelling to internal and external stakeholders and generating insights using data-driven analytics
The incumbent will be responsible for developing, maintaining and optimizing data pipelines and ETL processes for the organization
This position involves providing operational support for the global business intelligence environment and analytical data services. Its primary duties include addressing user support requests promptly and ensuring their timely resolution.
Subject Matter Expert on Master Data (e.g. data fields, purpose of fields, data hierarchies, interaction of fields, workflow routing etc.) for relevant data object/s.
The role would assist in providing Data Analytics support for audits globally.
This role is responsible for working with the Business stakeholders to solve their data accessibility challenges and promoting the use of data throughout the company to enable data driven decision making. Creating and managing the data pipelines that are accurate, efficient, aligned to Data standards and best practices for data engineering.
As a Senior Data Scientist, you will work independently to consult with customers to identify new areas of application of AI. Your purpose would be to seamlessly integrate infrastructure, software, and AI design and implementation into scalable software products.
The incumbent will be responsible for developing, maintaining and optimizing data infrastructure on cloud big data platforms
The incumbent must be highly experienced in the Data Engineering space as they will be responsible for designing and developing scalable and high-performing data pipelines. The incumbent will also be required to work closely with cloud technologies and implement state-of-the-art data infrastructure and services
Our job involves partnering with Regional Compliance Leads and cross-functional teams to identify and deliver analytics dashboards and robotic process automation (RPA) programs across all regions, i.e. EMEA, APAC and Americas regions.
Specialize in Python, SQL and cloud technologies designing, developing and supporting data pipelines, warehouses and so on.
Contribute to the building and implementation of Machine Learning tools, credit score card solution, predictive modelling and digital solutions within the data management department. Analyse internal consumer and market trends against competitors as well as market landscape.
The BI Analyst will be responsible for developing reports and dashboards, conducting analysis and providing insights to support data-driven decision making across all business functions.
Data engineering is the backbone of almost all the data processes in the world. Be a data engineer in a fast-paced industry with exposure to regional projects. Specialize in Python, SQL and cloud technologies designing, developing and supporting data pipelines, warehouses and so on.
As a Data Engineer, you will play a pivotal role in championing self-service analytics capabilities by promoting the usage of advanced data visualization tools and establishing a knowledge repository for reusable data assets. This position offers an exciting opportunity to shape the future of data engineering within our organization, enabling data-driven decision-making and fostering innovation in the financial industry
Our Job leverages data science to continuously bring effective and efficient solutions to its organization. Focused on using data to systematically find the right product to the right customer at the right time, our job optimizes using predictive modelling, exploratory data analysis and other techniques to realize our clients vision.
A professional Database Administrator (DBA) will keep the database up and running smoothly 24/7. The goal is to provide a seamless flow of information throughout the company, considering both backend data structure and frontend accessibility for end-users.
Our job entails developing data pipelines for a century old semiconductor MNC from various sources and transforming raw data into useful insights. The incumbent will be responsible for maintaining the data quality of all data sources and data visualization for business growth.
Seize an opportunity to be part of a data driven team in a global industry leader. You will be given an opportunity to manage a combination or commercial and transactional volume of data, expanding your portfolio into a larger scope. Utilize your data driven skills to transform the large volume of data into indepth commercial insight to promote decision making efficiencies.
Strong experience in Linux and Windows systems to take charge of Protegrity-related upgrade projects and resource acquisition/preparation. This encompasses tasks such as network administration, configuration management, maintenance, and troubleshooting, as well as the deployment of Protegrity Big Data Protector in Databricks and preparation/provisioning of Protegrity UAT environments. Implementing High Availability and Disaster Recovery (HA+DR) solutions.
This role focuses on improving and establishing digital tools that would help the business within APAC especially, working on the design and implementation of data science capabilities.
This individual will be responsible for utilizing internal and external data to come up with analytics solution for the customers, that are mainly financial institutions such as banks and fintech companies. If you have past experience working in banks, it will be a big plus for this role.
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