Verified Job
Engineering - Architecture
Engineering Ops Support Analyst
Engineering - Architecture
#730296
Remote / WFH
Sphera
Job Description
phera is a leading global provider of enterprise software and services that enables companies to manage and optimize their environmental, health, safety and sustainability. Our mission is to create a safer, more sustainable and productive world.
Sphera is a portfolio company of Blackstone, a U.S.-based alternative asset investment company that focuses on private equity, technology and innovation, and more. Blackstone businesses succeed through strong partnerships, a personalized approach and a commitment to exceptional performance with uncompromising integrity. Sphera and Blackstone are leaders in the Environmental, Social and Governance (ESG) space.
We are guided by our core values which are Customer-Centric, Accountable, Innovative, Collaborative, and Action-Oriented. These values help us recruit the right talent to join our rapidly expanding team of around 1400 Spherions around the globe. It is important to us that each and every Spherion is not only eager to challenge themselves and knows how to get work done but is an awesome addition to our company culture.
Role Overview
This is an exciting time to join Sphera as we scale our product and technology organization, strengthen our operating model, and advance engineering productivity and AI-enabled delivery.
The Engineering Operations / Metrics Support Analyst will support the Engineering Operations & Productivity team by helping collect, validate, organize, and report on engineering delivery, productivity, and AI adoption data. This is an entry-level role ideal for someone analytical, detail-oriented, and interested in learning how technology organizations operate at scale.
The role will help maintain dashboards, improve data quality, support operational reporting, and provide analytical support for leadership visibility across Product and Technology.
Key Responsibilities
• Collect, organize, and validate engineering delivery metrics from tools such as Azure DevOps, Jira, GitHub, Power BI, Jellyfish, LinearB, or similar platforms.
• Support recurring dashboards, reports, and executive-ready summaries for Engineering Operations leadership.
• Track basic delivery and productivity indicators such as cycle time, lead time, blocked work, backlog health, defect trends, release indicators, and AI tool adoption.
• Review data for completeness, consistency, and accuracy; identify gaps, anomalies, or missing information.
• Support cleanup of tool data, including owners, states, dates, priorities, tags, parent-child links, and release information.
• Help maintain AI adoption scorecards, including access, active usage, training completion, and usage trends.
• Prepare clean tables, charts, trackers, and summaries for leadership reviews.
• Maintain action item trackers, decision logs, risk logs, and operational follow-ups.
• Support Engineering Operations documentation, SharePoint pages, templates, process guides, and playbooks.
• Assist with ad hoc analysis to help identify trends, outliers, risks, and improvement opportunities.
Required Experience
• Internship experience or 1-2 years of experience in operations, analytics, business analysis, project coordination, engineering support, or a related field.
• Strong attention to detail and comfort working with data.
• Proficiency with Microsoft Excel or Google Sheets.
• Ability to organize information clearly and identify inconsistencies.
• Strong written and verbal communication skills.
• Ability to follow up with stakeholders and track open items to closure.
• Interest in software delivery, engineering operations, technology, metrics, or AI-enabled productivity.
• Organized, curious, reliable, and willing to learn new tools quickly
Preferred Qualification
• Exposure to Azure DevOps, Jira, GitHub, Power BI, Tableau, SharePoint, Confluence, or similar tools.
• Basic understanding of software delivery or technology operations.
• Experience creating dashboards, reports, trackers, or summaries.
• Interest in AI tools, engineering productivity, delivery metrics, or process improvement.
• Basic SQL, Power Query, or data visualization experience is a plus but not required.
Sphera is a portfolio company of Blackstone, a U.S.-based alternative asset investment company that focuses on private equity, technology and innovation, and more. Blackstone businesses succeed through strong partnerships, a personalized approach and a commitment to exceptional performance with uncompromising integrity. Sphera and Blackstone are leaders in the Environmental, Social and Governance (ESG) space.
We are guided by our core values which are Customer-Centric, Accountable, Innovative, Collaborative, and Action-Oriented. These values help us recruit the right talent to join our rapidly expanding team of around 1400 Spherions around the globe. It is important to us that each and every Spherion is not only eager to challenge themselves and knows how to get work done but is an awesome addition to our company culture.
Role Overview
This is an exciting time to join Sphera as we scale our product and technology organization, strengthen our operating model, and advance engineering productivity and AI-enabled delivery.
The Engineering Operations / Metrics Support Analyst will support the Engineering Operations & Productivity team by helping collect, validate, organize, and report on engineering delivery, productivity, and AI adoption data. This is an entry-level role ideal for someone analytical, detail-oriented, and interested in learning how technology organizations operate at scale.
The role will help maintain dashboards, improve data quality, support operational reporting, and provide analytical support for leadership visibility across Product and Technology.
Key Responsibilities
• Collect, organize, and validate engineering delivery metrics from tools such as Azure DevOps, Jira, GitHub, Power BI, Jellyfish, LinearB, or similar platforms.
• Support recurring dashboards, reports, and executive-ready summaries for Engineering Operations leadership.
• Track basic delivery and productivity indicators such as cycle time, lead time, blocked work, backlog health, defect trends, release indicators, and AI tool adoption.
• Review data for completeness, consistency, and accuracy; identify gaps, anomalies, or missing information.
• Support cleanup of tool data, including owners, states, dates, priorities, tags, parent-child links, and release information.
• Help maintain AI adoption scorecards, including access, active usage, training completion, and usage trends.
• Prepare clean tables, charts, trackers, and summaries for leadership reviews.
• Maintain action item trackers, decision logs, risk logs, and operational follow-ups.
• Support Engineering Operations documentation, SharePoint pages, templates, process guides, and playbooks.
• Assist with ad hoc analysis to help identify trends, outliers, risks, and improvement opportunities.
Required Experience
• Internship experience or 1-2 years of experience in operations, analytics, business analysis, project coordination, engineering support, or a related field.
• Strong attention to detail and comfort working with data.
• Proficiency with Microsoft Excel or Google Sheets.
• Ability to organize information clearly and identify inconsistencies.
• Strong written and verbal communication skills.
• Ability to follow up with stakeholders and track open items to closure.
• Interest in software delivery, engineering operations, technology, metrics, or AI-enabled productivity.
• Organized, curious, reliable, and willing to learn new tools quickly
Preferred Qualification
• Exposure to Azure DevOps, Jira, GitHub, Power BI, Tableau, SharePoint, Confluence, or similar tools.
• Basic understanding of software delivery or technology operations.
• Experience creating dashboards, reports, trackers, or summaries.
• Interest in AI tools, engineering productivity, delivery metrics, or process improvement.
• Basic SQL, Power Query, or data visualization experience is a plus but not required.
