• Experis
  • Information Technology
  • Part-Time

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Scrum Master with Data & Analytics Experience

Description: Guide and coach the team and organization to follow Agile/Scrum practices
Guide and coach the team to become self-organized
Help the team assess their Scrum Maturity and higher levels of maturity
Understand basic fundamentals of iterative development
Understand other processes and methodologies and can speak intelligently about them and leverage other techniques to provide value to a team/enterprise
Understand basic fundamentals of software development processes and procedures
Understand the value of commitments to delivery made by a development team
Understand incremental delivery and the value of metrics
Understand backlog tracking, burndown metrics, velocity, and task definition
Familiarity with common Agile practices, service-oriented environments, and better development practice
Escalate issues early and provide concise issue descriptions to upper level management coupled with recommended paths for resolution
Program Manage multiple project work streams using a variety of project scheduling tools
Ability to work in a matrix managed environment where many resources are only part time on the project
Ability to encounter an issue and quickly diagnose and put actions in place for triage, research, escalation, and resolution
Executive presence and good presentation skills
Dependable and solid follow up with a good customer service attitude
Ability to be firm about deadlines

Skills:
Experienced in a Scrum Master role for at least two years for a Data & Analytics development team
Knowledge of Agile approaches Kanban, Scrum, XP, etc.
Knowledge and experience with Agile techniques Automated Testing, User Stories, TDD, Continuous Integration
Bachelors Degree or equivalent

Experis is an Equal Opportunity Employer (EOE/AA)



Associated topics: architect, back end, design, design pattern, devops, matlab, perl, senior, software architect, software engineer lead

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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