utilize software for the purposes of data analysis as the next Data Analytics Trainer sought by a forward-thinking in training delivery, preferably in the field of Data Analysis, Audit, Risk, or Compliance. You must be Display expert knowledge in Audit Command Language and data analysis techniques. Conduct Training Sessions: effectively utilize its features to address their data analysis objectives. Stay updated with software in training delivery, preferably in the field of Data Analysis, Audit, Risk, or Compliance. Proficiency
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
Reference: NWA003395-BOM-1 Are you a Data Analyst looking for an opportunity in the fintech space? This visualizations, SSIS packages, and dashboards Proficient in data analysis and implementing marketing techniques and
stakeholders to shape data architecture and requirements collaboratively. Craft data models and schemas appropriate data storage solutions, including relational databases, data warehouses, data lakes, and NoSQL Lead the implementation of data governance policies and standards. Uphold data quality and integrity across organisation. Ensure adherence to data security and privacy regulations. Share data architecture strategies with strategic planning and technology selection for data and analytics initiatives. What you need: Bachelor's
Development: Creation of services, reports and applications as per business requirements, and agreed deadlines. Support: Responsible for assisting IT and IS support personnel in solving technical problems. Documentation: Comprehensive documentation of new and existing systems at a technical level to
a visionary Data Scientist to spearhead their data-driven initiatives as the Head of Data Science. Join future of data-driven decision-making. APPLY NOW Key Responsibilities: Shape and execute the data strategy objectives and drive innovation. Lead a team of data scientists and analysts, providing guidance, mentorship Oversee the collection, storage, and analysis of data to derive actionable insights. Collaborate with leveraging data to solve business challenges. Develop and implement best practices for data governance
reliable, on-time, efficient & high-quality data analytics solutions and professional services that Experience: • 3 – 7 years in Business Intelligence/Data Analytics/Data • Science/Modelling/Statistics • Programming skills • Knowledge of statistical modelling and data mining techniques i.e. Regression, • Random Forest
This role is for a Senior Data Engineer to help build and maintain scalable data pipelines and related systems for designing, developing, testing, and deploying data solutions that meet the business requirements Collaborate Collaborate with all stakeholders to ensure data quality, reliability, accessibility, security and governance technical aspects of all data pipelines Support ETL processes including, data ingestion, transformation Optimize data performance, scalability, and security. Provide technical guidance and support to data analysts
individuals operate efficiently and make effective data-driven decisions. They are actively seeking like-minded What you will be doing: Uncover insights through data visualisation for smarter decisions. Streamline Prepare data for analysis and reporting with precision and efficiency. Address various data requests Explore growth opportunities using data-driven approaches. Enhance data quality and delivery speed for better SQL, Python, and data visualisation techniques. Skilled in Microsoft Excel for data manipulation. Strong
businesses are in search of a Data Engineer with the capabilities of utilising data, machine learning, statistical the effective use of data by utilising cutting-edge technologies and model data preparation. Responsibilities: