The Data Analyst is responsible for overseeing our data systems and reporting frameworks, guaranteeing integrity and precision of data. The ideal candidate will transform raw data into structured information gathering, activity execution, and design planning. Data analysts are tasked with enhancing analytical and enhancement Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems Detect trends or patterns within intricate datasets Cleanse data and scrutinize computer-generated reports and outputs
person has experience in running projects that are data related at the enterprise level and also have experience
The Data Analytics: Data Engineer role is responsible for understanding the full lifecycle of a BI Project solution to business. Continuous development of Markets Data Analytics Platform is done by enhancing current requirements. Collaborate with Business and the Markets Data Analyst to understand the requirements and BI solution Ab-initio exposure would be advantageous Markets Data Analytics project lifecycle The Capital Markets experience in designing and building data warehouses, BI systems and complex data eco systems Engaging with business
within a consultancy known for leading a world class data analytics/warehouse capability and specialising vacancy for a Senior Data Engineer to deliver digital solutions If you are a passionate data engineer with experience experience in data warehousing, data lakes, cloud technologies , and ETL tools , we encourage you to Responsibilities: Design and develop data warehousing and data lake solutions to support business needs as AWS Glue, Azure Data Factory, Matillion, SSIS Collaborate with data analysts, data scientists, and business
solution for data migration during the solution design phase. Devise and get approval for the data migration all data. Oversee and ensure a gap analysis for any missing or archive data. Reviewing as is data quality and putting in place plans to address any required data quality improvements. Oversee and ensure the building building of data validation scripts. Ensure the accurate filling of intermediate data tables during data load Requirements: Degree in project management or IT. 10 years Data Migration experience Proficiency in project management
Our client is seeking a vibrant Data Analyst member of their Operations team, you will spearhead data insights and reporting strategies aimed at maximizing raw data to produce bespoke stock and sales reports for stakeholders
We are looking for a Senior Data Analyst to join our team in Cape Town . 3 days (Tuesday, Wednesday & will be working directly with stakeholders. Senior, Data, Analyst, retail, power bi, SQL, degree, stakeholders
Project Manager. Retail Industry experience. Data Management/Data Warehouse Implementations experience. Strong resources to work on the project as appropriate Time management: Communicate on a weekly/monthly basis satisfaction is achieved by effective management and timely completion of project milestones and outputs Competencies Presenting and Communicating Information Personal Time Management Integrity Desirable: Adapting and responding
Description The Data Scientist is responsible for collecting, analyzing, and interpreting complex data sets to involves applying statistical, machine learning, and data mining techniques to extract trends, patterns and insights from structured and unstructured data sources. The Data Scientist collaborates closely with cross-functional volumes of data from various sources, including databases, data warehouses, and external data providers providers. Design and implement data modelling, data mining, and machine learning algorithms to uncover patterns
and seasoned project manager with a passion for data-driven initiatives? Do you thrive in complex, fast-paced cutting-edge projects and help us shape the future of data services. Our client in the Financial Services sector sector is currently looking for a Senior Data Services Project Manager for a 12-month renewable contract met on time and within budget. Drive Data-Related Initiatives: Spearhead projects involving data integration utilizing your deep understanding of enterprise-level data services. Leverage Advanced Technologies: Utilize