metrics that track performance. Analyse available data to identify information commercialization opportunities FirstRand architecture by translating technical data information into practical business information information requirements, availability and quality of data to feed into management for resolution. Contribute across the business to aid them in the proper use of data to ensure delivery of desired operational results models for utilization. Source and prepare relevant data sources for analysis. Translate business requirements
Title: Data Scientist Education Level: Diploma Job Level: Senior Minimum Experience: 5- 7 Years Data Scientist capabilities, adhering to internal architecture and data integration standards as well as the long-term Business queries. Maintain data quality by developing data quality scripts and investigating source data and systems to provide optimal performance under increasing data volumes. Document solutions, both technical (design
motivated Data Analyst to join their dynamic team. You will play a crucial role in transforming raw data into Responsibilities Perform data cleansing, validation, and analysis to ensure data accuracy and integrity integrity. Develop and implement data collection systems and strategies. Create and maintain dashboards, reports translate them into data-driven solutions. Identify trends, patterns, and anomalies in data to support strategic and best practices in data analytics. Qualifications: Bachelor’s degree in data science, Statistics, Mathematics
skilled Data Specialist to join our CDS Team. The role requires a deep understanding of data pipelines ability to create them using our in-house developed data framework, built and maintained in Python. This
support the data strategy and execute in area of responsibility in order to derive value from data. To adhere processes, standards and integration of business data value chain. Ensure Platform alignment, governance integration across relevant areas. Ensure alignment of data and goals with the reduction of total cost of ownership and landscape complexity. Ensure ethical usage of data and information that complies to restrictions applied legislation and policy. Ensure reporting of any Data Privacy Incidents and drives resolution of Privacy
(advance) , with the ability to manipulate and format data effectively. This will be tested.
Job Description Hello, Data Scientist Role Purpose This role is within FNB Retail Sales Contextual Enabler customer context across Retail. The team explores new data sources and analytical methods that enable innovation Produce innovative ideas and solutions based on data. Stating assumptions and overcoming challenges.
skilled resources to its clients. We are looking for a Data Engineer to join our financial services client based What we are looking for: Data Engineer skill is required to enable the data lifecycle within EDS, namely namely the ability to integrate data between source system (golden/trusted) and the target database (LOB) (LOB), hence provide good quality data by applying the necessary framework/s and governance to whomever other related fields 5 years experience as a Data Analyst Data warehousing concepts is advantageous. Ab Initio
audiences across all brand interactions. At AKQA, our Data Analysts have an innate passion for crafting clear delivery. Help to strengthen the profile of the Data & Analytics team and drive team progression the most relevant and effective data solutions. Ability to analyse data, create reports, provide insights Contribute to product innovation in the performance and data space. Deliver strategic opportunities to all teams experience in a hands-on role in Data with expertise in consumer data analysis, web analytics, digital
service industry has an exciting opportunity for a Data Administrator. The primary objective of this role process by efficiently converting and importing data into our proprietary system. The successful candidate (advance) , with the ability to manipulate and format data effectively. This will be tested. 3 years’ experience format to facilitate seamless data integration. Import converted data accurately and efficiently into maintaining data integrity and consistency. Provide administrative support to the data analysts, ensuring