insightful data analysis and innovative solutions. We are seeking a passionate Graduate/Junior Data Analyst manage and monitor data processes, ensure database integrity, and develop custom data models. Key Responsibilities: Responsibilities: Data Analysis : Analyze data from company databases to drive product optimization and business technologies. Custom Data Models : Develop custom data models to apply to data sets. Automation: Create
client is looking for a new member of the data team as a Senior Data Engineer to help execute the credit scoring or a related field. 4 to 5 years of experience in data engineering, database administration, or a related as MySQL, PostgreSQL, or Oracle. Experience with data warehousing and ETL tools such as Apache Airflow Airflow, Talend, or Informatica. Knowledge of data modeling, data architecture, and database design principles and big data technologies such as Hadoop, Spark, or Kafka. Knowledge of data governance, data privacy
Reference: BIT002673-Cha-1 Our client is looking for a BI Data Analyst with experience in Google Looker and BigQuery complex data sets and creating insightful visualizations to help our organization make data-driven decisions Statistics, Computer Science, Data Analytics/Science). Proven experience as a Data Analyst or similar role in data analysis tools GCP (Google Cloud Platform), Google Big Query, SAS, SQL, Python, Rand data visualization Experience with statistical analysis techniques and data modelling. Excellent communication and presentation
Reference: BIT002679-CdP-2 We are looking for a skilled Data Engineer to join our clients' investment team to to oversee their database architecture, data flow, and data processes. The role involves efficiently managing develop scalable data pipelines and ETL processes to collect, process, and integrate data from various sources sources into a centralized data warehouse or data lake. Implement data models, schemas, and database structures to organize and optimize data storage for efficient data retrieval, writing, and analysis. Collaborate
Reference: ITE005889-DEP-1 Are you a Data Analyst with a knack for business? A telecommunications company Business Intelligence Analyst & Data Scientist to manage data retrieval and analysis across its organization organizing data flow, facilitating communication between senior management and IT, and analyzing data to address sources, including company data, public records, and purchased databases. Draft data collection and processing processing protocols using SQL. Verify accurate data gathering, storage, and reporting. Present performance
insightful data analysis and innovative solutions. We are seeking a passionate Graduate/Junior Data Analyst manage and monitor data processes, ensure database integrity, and develop custom data models. Key Responsibilities: Responsibilities: Data Analysis : Analyze data from company databases to drive product optimization and business technologies. Custom Data Models : Develop custom data models to apply to data sets. Automation: Create
proven experience in data warehousing projects and a strong understanding of data modelling concepts and experience as a business analyst Experience in a data warehousing or business intelligence environment their knowledge KPA's: Requirement analysis Data Modelling Data profiling and analysis Documentation Quality
suitable solutions. Data Collection and Analysis: Conduct research and analyze data to identify key themes trends. Insights and Reporting: Prepare and present data and analytics reports to stakeholders. Stakeholder Specifications and Data Management: Ensure data integrity and manage key elements of data management systems Nprinting Experience with data warehousing and Geo-Analytics Ability to analyze data trends and create effective presentation skills Knowledge of compliance and data regulations Strong planning and organizing abilities
dependency management and data access patterns. Modify and extend REST API endpoints for data retrieval and persistence application layers. Strong knowledge of algorithms and data structures. Experience in Finance, Mining, or Payroll exposure to MS Reporting Services, Power BI, and data warehousing. Understanding of general monitoring
advocate for best practices. Data Management: Recognize the significance of data within our organization and collaborate with data professionals to leverage it effectively. Ensure compliance with data security and