Key skills
Data analysisEngineering OperationsAgile methodologiesGit workflowsReporting toolsCuriosityAnalytical skillsCollaboration skillsAIBITableauPower BIGitAgileScrumKanbanLeadershipCommunicationCollaboration
About this role
symplr is seeking a Senior Engineering Operations Analyst who will play a critical role in enhancing the efficiency and productivity of the Engineering organization. This individual will collaborate closely with engineering leads and cross-functional teams to analyze performance and implement data-informed improvements across workflows and processes.
Responsibilities:
- Responsible for measurement and improvement of Engineering efficiency
- Define what metrics and data we need to report on to give the CTO and other leaders what they need to measure and improve team efficiency
- Provide the CTO and senior leadership team with regular summaries of Engineering efficiency
- Recommend specific actions to improve efficiency
- Ensure maintenance of good data hygiene for accurate reporting
- Help Engineering managers understand the output of reports to measure Engineering efficiency and how they can use that information to improve their team’s effectiveness
- Provide support to Engineering managers in following organizational processes
- Optimize Engineering systems and tools for scalability, cost-efficiency, performance, and ease of use
- Provide governance and process optimization of scalable workflows and systems use
- Identify gaps in process lifecycles and propose recommended solutions to drive consistency in process execution
- Assist the Senior Leadership team with special projects and data analysis
- Assist other members of the Engineering Operations team with carrying out team functions
Requirements:
- Bachelor's degree in computer science, engineering, or related field
- 10+ years of experience in a Software Engineering setting, or in Software Engineering roles, and 3+ years of experience working in Engineering Operations or with data analysis
- Knowledge of agile development methodologies such as Scrum, Kanban, etc
- Knowledge of Git workflows
- Strong experience analyzing systems and data and presenting it to different audiences including executives
- Excellent communication and collaboration skills; ability to partner with cross-functional teams (IT, Product, Engineering, Security, Product, Quality, DevOps, Architecture, UX, Program Management, etc.)
- Master's degree in business, computer science, engineering, or related field
- Experience using Liner B or Jellyfish
- Experience leveraging AI for data analysis
- Ability to build and maintain reports using tools such as Excel, Power BI, Tableau, etc