DataOrbis is a leading global data management and insights company. Our purpose is to lead change by connecting people to their data.
We work predominantly in the fast-moving consumer goods (FMCG) industry, where we enable environments where our clients and their brands can thrive. We do this by combining people, process, and cutting-edge cloud technology...
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Integration & Architecture: Engage with external data sources to secure automated feeds and design technical solutions for data receipt in required formats.
Technical Setup: Lead the configuration of onsite hardware and network infrastructure, including port forwarding and static IP setups.
Automation & Scripting: Use R or Python to create automation scripts, utilizing existing libraries to drive efficiency and reusability.
Systems Integration: Configure and troubleshoot connectors for various ERP/Accounting systems and write custom SQL extraction queries.
Data Science Support: Assist with research and projects involving statistical theory, machine learning concepts, and time series analysis.
Monitoring & Maintenance: Proactively monitor the health of automated feeds ("satellites") and resolve connectivity or data integrity issues promptly.
Requirements
Your skills and experience include
Education: A Tertiary Degree or Diploma in IT, Mathematics, Statistics, or a relevant technical certification.
Experience: 2–4 years in a technical role within a data-centric environment.
Programming Skills: Proficiency in R or Python with a solid grasp of core programming concepts (functions, loops, and variables).
Database Expertise: Advanced MS SQL Server skills, including joins, stored procedures, and relational warehousing knowledge.
Network Knowledge: A confident understanding of Windows file systems and network infrastructure (TCP/IP, DHCP).
Mathematical Foundation: University-level knowledge of probability, distributions, and linear algebra.
Tools: High proficiency in Excel and experience with JIRA, SharePoint, and Azure Cloud services.
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