Data Specialist IT & Accounting (POS24147)
Somerset West
R 20 000 on-time upload of financial data. Must have experience in Data Analysis, Data Processing as well as Accounting/ Requirements:
computers at various levels and data security practices Deep knowledge of data security SOX processes ITSM Focused on Data security ABOUT US EXL is the indispensable partner for leading businesses in data-led industries and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry industry expertise to help our clients turn data into insights, streamline operations, improve customer truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI
business-led data and business intelligence consultancy that empowers organisations with data-driven decision-making environments. Our expert teams apply a mastery of data and technology to craft strategies that revolutionise the role The Data Engineer is responsible for designing, building, and maintaining the data infrastructure infrastructure that supports the organization's data needs. They will work closely with various teams to gather requirements, design, and develop data pipelines, and ensure data quality and availability for analysis
ENVIRONMENT: THE technical expertise of talented Data Architect with a passion for advancing Public Health sequence formats (FASTQ etc.). Understanding of data storage (S3-Buckets). Experience with validation
Responsible for: Data Analysis Must have mature hands on exp with "End to End Credit Lifecycle" Must
goals for production databases in conjunction with data owners and department managers. Work with application disaster recovery and data archiving to ensure effective protection and integrity of data assets. Conduct research and allocate physical data storage for database systems. Plan and coordinate data migrations between systems experience. Experience in DB2 LUW data base technology and tools (Data Server Manager) Experience in troubleshooting knowledge and implementation skills of applicable data privacy practices and laws
The Data Scientist works under the guidance of the Technology team and will be responsible for analyzing raw information (particularly unstructured text data) to find patterns, build models to address business problems, and present information using various data visualization techniques and platforms. Applying business problems, turning the company's volumes of big data into valuable and actionable insights. Collaborating applicable, undertaking data mining and developing and documenting robust and scalable data extraction tools
about leading a dynamic team within the realm of data and technology, and if you thrive in a collaborative for As the Urban Data Lead, you will have a pivotal role in shaping the company's data ecosystem, optimizing cross-functional teams, you will lead a team of data experts, ensuring they align with the company's and work ethic. A Master's degree with a focus on data science or equivalent practical experience is required required, while possessing multiple additional data-focused qualifications would be highly desirable.
We require a Data Engineer and this is an office based postion. Modifying the database structure, as performance of the database. Maintaining archived data. Contacting database vendor for technical support policies, and procedures for data management. Define and implement alerts on data. Develop reports and ETL and procedures. Data warehousing. Will be responsible for developing ETL packages and data warehousing, International Data engineering Qualifications or certifications. Minimum of 5 years' experience as a Data Engineer
for a highly analytical person with a knack for data analysis. Involving manipulation, modelling and inter-dependencies between various data sources and business processes involving data flow. The Data Engineer will also and building data management solutions. There will also be elements of integrating with data science tools visualise their data. Key Responsibilities & Accountabilities Construct end to end data service solutions Understand and manage the client's data requirements, the data being specific to the financial markets