Engineering Operations Data Analyst

Company Description

QAD is building a world-class SaaS company, and we are growing. We are looking for talented individuals who want to join us on our mission to help solve relevant real-world problems in manufacturing and the supply chain.

We are a virtual first company and your primary work experience will be virtual / working from your home.  Occasional travel to a physical office may be required to enhance working relationships, collaboration, design, strategy and alignment.    

Job Description

QAD is seeking a Engineering Operations Data Analyst who will be responsible for gathering, analysing, and interpreting data related to software development processes, performance, and quality. This role involves developing metrics, generating insightful reports, and working closely with engineering teams to identify areas of improvement, optimize workflows, and ensure alignment with organizational goals.

The ideal candidate will have strong analytical skills, a deep understanding of software development lifecycle (SDLC) practices, knowledge of development tools (Jira, Aha!, GitLab, etc.) and experience surfacing engineering financial and operational data.

What will you do:

• Metrics collection and definition - Design systems and processes to automate the collection of software metrics.

• Data analysis and reporting - Analyse data to identify trends, patterns, and areas of improvement in development processes. Generate dashboards and reports to present actionable insights to engineering and leadership teams.

• Tooling and integration - Integrate metrics collection with existing development tools (e.g., Jira, GitLab, Aha!, etc.). Evaluate and implement analytics tools to enhance metric tracking and reporting capabilities.

• Stakeholder collaboration - Work with engineering managers, product owners, and project managers to align metrics with project objectives.

Qualifications

• 2-5 years of experience in software development, quality assurance, or data analytics roles.

• Proven experience working with software development metrics and process improvement.

• Strong knowledge of SDLC and Agile/Scrum methodologies.

• Proficiency in data visualization tools.

• Familiarity with tools like Jira, GitLab, GitHub, Aha!, etc. for metric extraction.

• Advanced skills in Excel, SQL, or Python for data analysis.

• Flexibility to work Western European Time Zone hours.

Additional Information

• Your health and well being are important to us at QAD. We provide programs that help you strike a healthy work-life balance.
• Opportunity to join a growing business, launching into its next phase of expansion and transformation.
• Collaborative culture of smart and hard-working people who support one another to get the job done.
• An atmosphere of growth and opportunity, where idea-sharing is always prioritized over level or hierarchy.
• Compensation packages based on experience and desired skill set

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About QAD:

QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face ever-increasing disruption caused by technology-driven innovation and changing consumer preferences. In order to survive and thrive, manufacturers must be able to innovate and change business models at unprecedented rates of speed. QAD calls these companies Adaptive Manufacturing Enterprises. QAD solutions help customers in the automotive, life sciences, packaging, consumer products, food and beverage, high tech and industrial manufacturing industries rapidly adapt to change and innovate for competitive advantage.

QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. 

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