enjoy telling stories through data and working with large data sets? Our Sales Planning team is looking for and procedures to pull data for analysis • Construct efficient multi-threaded data models from large datasets datasets • Create visual representations of data for executive reporting • Build dashboards for daily operational trends and patterns in the customer behaviors • Make data backed recommendations on Contact Center programs reporting and data processing • Correlate omnichannel data for KPI tracking • Create and maintain data repositories
Fastest growing international companies, which is looking for English speaking technical thinkers with with a passion for data management and someone who is interested in working in a high energy work environment environment. If you are ready to join an internationally successful company then this is your chance Working Junior Data Capturer and Backoffice Assistant Reporting Live Data Capturing & Optimizing Data. Analysis Co-ordinating Sales Agents Performance. Microsoft Excel/Google Sheets Processes. Data experience in SQL
Head of Data Engineering you will be responsible for leading a core team of high performing data engineers along with building out the data engineering competency, spanning focus of data governance, compliance, architecture technology strategy. Data Engineering Leadership: Build, lead and mentor a high performing Data Engineering team team. Direct line management of Data Engineers, Architects, Governance and Compliance personnel. Drive the systems development lifecycle, ensuring that data engineering principles and best practices are being
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
opportunity for a Data Analyst / Data Scientist in a Sage X3 ERP environment. Data gathering, cleansing presentations Data interpretation Data Visualisation Descision support Report writing - internal and external charge organisation with valuable insights into data resources Min Qualifications – Degree in Maths /
ENVIRONMENT: THE technical expertise of talented Data Architect with a passion for advancing Public Health sequence formats (FASTQ etc.). Understanding of data storage (S3-Buckets). Experience with validation
Hiringnow Currently hiring for Data Engineer for one of the banking clients based in Johannesburg. Min Min of 5-8 years' experience in data engineering • Strong back end and front-end development skills • Hive o Ab Initio (a bonus) o Data API's • Will be required to build data warehouse components on Terradata
marketing agency with a passion and knowledge in SEO, data and analytics, content and paid media. As specialists clients grow organically online through the use of data driven strategies and insights.They are not a creative markets, which in turn allows them to use real time data to build strategies that will help clients' businesses is looking for a skilled and experienced Data Scientist / Data Engineer to join their dynamic team. The will have a strong background in data science, data analysis, or data engineering, with extensive experience
requirements Understand and document data requirements for the project End to end data migration from existing catalogue career architecture Data mapping, analysis, reconciling data outliers Completing data gaps Interpreting Interpreting and structuring data sets Addressing specific business challenges with analytical solutions Working Working with other departments to understand their data needs and help them make informed decisions Preparing compelling reports and presentations to communicate data insights and findings to stakeholders Skills and
Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the delivery including Agile ceremonies Implement methods to improve data reliability and quality Combines raw information formats Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these in extracting value and features from large scale data and toolsets Modern code development practices Extensive