SAS Data Analyst
Typical day:
– The day starts with a stand-up meeting where we review the current tickets assigned for the current sprint and address roadblocks
– After the stand-up, the top ticket priority would have time set aside to develop on.
– After a few hours of coding you have a meeting with a stakeholder to confirm some cosmetic choices and showcase the report built so far
– Some revisions are made and you’re ready to send the code to the production team to deploy
– Suddenly a stakeholder alerts you that an existing report failed to go out on its scheduled time
– You pull the job log from the server and deep dive the error code
– After patching and redeploying the report code you follow up with your manager and stakeholder that the issue has been resolved
– Your original report is deployed and you move the ticket ahead on our Kanban ready for tomorrow’s stand up
Key Responsibilities Include:
- This is an Agile development environment, working with the latest BI visualization tools and technologies
- Working with a team of BI analysts whilst helping to maintain and build new reporting analytical capabilities
- Analysis, delivery of business requests/issues/requirements, and conducting quality assurance testing for all BI deliverables supporting Sales & Marketing business functions
- Excellent leadership and communication skills required to work well with business users, other analysis teams, development teams, and IT teams
- Deliver on key projects and data strategies that directly support key business drivers
- Work with and opportunity to present to various management levels
Required Competencies:
- You have a Bachelors degree, or Masters with minimal work experience, in a discipline such as:
- Business analytics / business intelligence
- applied math
- computer science
- applied science / engineering
- economics/econometrics
- management science / operations research
- You have knowledge of, and experience with, SQL, SAS, and data visualization tools
- You are highly analytical and understand the basic principles of working with large and complex data sets
- You have the ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
- You have the ability to work with a team towards common goals
- You are able to manage multiple projects and priorities.
Preferred Competencies:
- Experience with data systems such as Oracle, SQL Server, Teradata, SAS, MicroStrategy or others
- Experience with BI and data warehouse technologies
- Basic working knowledge of project management steps
- Experience in Telecommunications