you a talented Data Engineer looking to make a significant impact? If you excel in data collection, analysis this role is to collect, clean, and analyse data to drive data-driven decision-making and support business Responsibilities: Data Collection and Cleaning: - Collect, extract, and compile data from various sources transform raw data into structured datasets for analysis. - Identify and resolve data quality issues, inconsistencies developments in data analytics. Data Analysis and Interpretation: - Perform exploratory data analysis to
a leading agribusiness, seeks an IT Quality Assurance Analyst at its Corporate Services Division at Pretoria, who will be responsible for ensuring the quality of software and IT systems through thorough testing with developers and stakeholders to ensure high-quality IT solutions. Responsibilities and Duties Plan and oversee product inspection and testing for quality and conformance to specification and deliverables managers) to identify system requirements Track quality assurance metrics Provide feedback and recommendations
Responsible for: Data Analysis Must have mature hands on exp with "End to End Credit Lifecycle" Must
delivery of reliable, on-time, efficient & high-quality data analytics solutions and professional services deliverables • Reliable, On-Time, Efficient & Quality Delivery as per the chosen process & tooling against estimates as per sprint plan • Ensure quality of deliverables. • Ensure processes & tooling to source code management practices • Adhere to quality assurance practices • Adhere to: all corporate Experience: • 3 – 7 years in Business Intelligence/Data Analytics/Data • Science/Modelling/Statistics • Programming
Salt Data Analyst Are you a savvy data analyst with 1-2 years of industry experience and a financial latest tech cloud products and end-to-end BI and data analytics projects across clients spanning multiple industries. They are on the hunt for a talented Data Analyst with experience in building Power BI reporting especially financial reporting using ERP systems as the data source . If you have exposure to Power BI, Microsoft
that align with strategic objectives. Dive into data analysis to uncover insights and fine-tune digital Senior Business Analyst experience in digital transformation with a focus on innovative, data-driven solutions complemented by an entrepreneurial mindset and passion for data-driven decision-making. Excellent communication website - www.parvana.co.uk . Data Analyst, Digital Transformation, PM Tools, Data-Driven
use your analytical brain to develop and maintain data pipelines and automation tools, assist with database bachelor's degree or honours in Computer Science, Data Science, Investments, or Mathematics. You also need languages commonly used in quantitative finance and data analysis, SQL is essential, Python and R are advantageous
We are looking for a Data Analyst to join our Data Management team. This opportunity will be based in • Design, implement and collate ATM performance data to determine the effectiveness of optimization strategies Intelligence • Minimum 2 years' experience as a Data Analyst/BI Developer • Experience in supply chain, logistics Intermediate Excel • PowerBI development, dashboarding, data source management/maintenance and model design •
you a talented Data Engineer looking to make a significant impact? If you excel in data collection, analysis this role is to collect, clean, and analyse data to drive data-driven decision-making and support business Responsibilities: Data Collection and Cleaning: - Collect, extract, and compile data from various sources transform raw data into structured datasets for analysis. - Identify and resolve data quality issues, inconsistencies developments in data analytics. Data Analysis and Interpretation: - Perform exploratory data analysis to
wholesale businesses are looking to recruit a Senior Data Analyst to work within their Internal Audit department effective use of data analytics by obtaining more timely access to and management of data assets. Responsibilities: sorting, and making sense of necessary data. Proactively search for data anomalies that could be indicative issues. Work with internal auditors to understand data needs and brainstorm ways to perform audits more implementation of a continuous monitoring framework using data analytics to support the relevant internal audit