As a Data Analyst you will be responsible for analyzing large sets of financial data to support our business
business operations and drive data-driven decision making.
Responsibilities:
talented Data Analyst who will be responsible for sourcing and transforming a wide range of data across end-users to develop differentiating business insights. Data Analysts should be skilled in SAS, GCP, Python and using a variety of data tools, analysis methods and data visualization to turn data into actionable insights end-user discussions.
talented Data Analyst to join our team at one of the leading Banks in the industry. As a Data Analyst large sets of financial data to support our business operations and drive data-driven decision making Responsibilities: Collect, organize and analyze large sets of data related to the bank's financial operations Develop understand their data needs and provide relevant analysis and insights Develop and maintain data models, dashboards metrics and KPIs Identify patterns and trends in data to inform business strategy and decision making
talented and experienced Data Modeler to join our dynamic team at iOCO. As a Data Modeler, you will play maintaining data models that facilitate efficient storage, retrieval, and analysis of data across various with stakeholders, including business analysts, data scientists, and IT professionals, to understand business requirements and translate them into robust data models.
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What you’ll do
logical, and physical data models to support business requirements and data analysis needs.
My client in the government sector is looking for Data Scientist x 2
Location: Onsite
Responsibilities
Data acquisition, data cleansing, data transformation
Machine learning
passion for data? Join our team as a Data Scientist and be a key player in shaping our data-driven future
Responsibilities:
and designing the data integration architecture.
Implement and managing the Data Architecture landscape
landscape.
Data modelling and to assist when working with complex Data and multiple data sources.
Data Strategy, Managing the Master Data processes.
Establish data ownership and accountability
/>Experience in Data architecture, Data Warehousing, Data Integration, Data Modelling, Data Governance, Master
Master Data Management, SAP MDM experience is essential.
a skilled Data Architect to join our team and take ownership of our organization's data architecture and managing complex data systems. They will work closely with our engineering, data science, and business understand requirements, design solutions, and ensure our data infrastructure meets our evolving needs.
Key
Design Data Architecture: Develop and maintain an optimal data architecture blueprint
Data Modeling: Design and implement logical and physical data models that translate
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Technical/Solution Goals
Beneficial