SD-WAN Data Analyst
1 week ago
As a Data Insights Specialist at Dimension Data, you will play a crucial role in managing and analyzing data generated by our SD-WAN tools. Your primary responsibility will be to develop a thorough understanding of the data being collected and to identify meaningful patterns and trends. This will involve working closely with our deployment and support teams to enhance the SD-WAN service being delivered.
Key Responsibilities:
- Develop a detailed understanding of the data being collected by our tools
- Develop mechanisms to aggregate data from disparate systems to identify meaningful patterns
- Work with technical teams to match issues with identified trends
- Develop dashboard views for clients, support teams, and technical specialists
- Develop automated reports
- Understand our operating principles and make them the guidelines for your work
- Own the customer experience and think and act in ways that put our customers first
- Be an enthusiastic learner, user, and advocate of our game-changing technology, products, and services
- Win as a team by working together and being open to new ideas
- Drive efficiencies, results, and growth
- Respect and promote inclusion and diversity
- Do what's right for each other, our customers, investors, and our communities
- Back up your team members where required
- Don't let anyone have to fix or complete work that you are responsible for
Requirements:
- A qualification in statistics, computer science, data science, or analytics or a related field
- Demonstrated technical experience using programs to extract, analyze, and manipulate data from various disparate data sources and systems
- Demonstrable experience in a data analytics or business intelligence role working with databases, e.g., Oracle, MySQL, MS
- Basic understanding of SD-WAN preferred
- Demonstrated reporting and analytical experience using BI tools or any other tools of preference
- Solid experience in developing queries and reports based on user requirements
- Must be prepared to work flexible hours dependent on key project deliverables
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