client in the logistics industry is looking for a Data Analyst for a 6-month contract. This role requires expertise advanced Excel skills that will be crucial for data analysis, report creation, and delivering insights to improve improve trading strategies. Requirements: Degree in Data Science, Statistics, Information Management, or related field. Minimum of 3 years of experience in data management, analysis, or a similar role. SQL experience logistics or mining industry is a plus. Proficiency in data management tools and software. Strong analytical
R 10,000 per month The post Graduate Trainee Data Analyst appeared first on freerecruit.co.za .
Reference: NFP014543-ASl-1 Take your data science skill set to the next level About Us: We leverage cutting-edge Description: We are seeking a skilled and enthusiastic AI Analyst to join our innovative team. The successful candidate algorithms to address business challenges. Conduct data analysis to extract meaningful insights and trends Qualifications: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. A Master's preferred. 5 years proven experience as an AI Analyst, Data Scientist, or similar role. Proficiency in programming
Reference: NFP014543-ASl-1 Take your data science skill set to the next level About Us: We leverage cutting-edge Description: We are seeking a skilled and enthusiastic AI Analyst to join our innovative team. The successful candidate algorithms to address business challenges. Conduct data analysis to extract meaningful insights and trends Qualifications: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. A Master's preferred. 5 years proven experience as an AI Analyst, Data Scientist, or similar role. Proficiency in programming
Reference: ITE006129-ANR-1 Senior Data Engineer JHB Are you a data enthusiast with a passion for designing designing and optimizing robust data systems? We are looking for a skilled Data Engineer to join our team. cloud and on-premises data pipelines, ensuring the seamless flow of high-quality data across our organization Responsibilities: Develop and manage data pipelines to support data scientists, analysts, actuaries, and other initiatives development of robust data systems in line with the organization's data strategy. Implement data validation processes
external financial reporting. Enhance process improvement and credible reporting. Ensure compliance with
financial expert with a deep understanding of market risks, particularly in the areas of counter-party credit opportunity for you Key Responsibilities: As a Market Risk Specialist specialising in counter-party credit organisation's risk management strategy. Your responsibilities will include: Counter-party Credit Risk Analysis: Assessing and managing the counter-party credit risk exposure of our organisation, including evaluating creditworthiness of counter-parties and mitigating potential risks. Derivative Pricing: Utilising your expertise to
looking for an experienced CA(SA) to lead our reporting and analytics function. The ideal candidate will will have a strong background in financial reporting, data analysis, and business intelligence. This role Responsibilities: Prepare and analyze financial statements and reports in compliance with IFRS and other regulatory requirements on financial performance. Design and implement reporting tools and dashboards to visualize key metrics and analyze data from various sources. Identify trends, risks, and opportunities through data analysis and
Manage budgeting, forecasting, and financial reporting processes Ensure compliance with regulatory requirements success in financial planning, analysis, and reporting Strong understanding of accounting principles
1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: forecast future trends and outcomes. 6. Reporting: Creating reports and presentations that summarize findings