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