Position Summary
Decisions is a fast-growing, private-equity backed technology company that provides the only seamlessly integrated workflow and rules platform for business process automation. The Company is trusted by some of the most well-known and respected Fortune 500 companies and SMBs worldwide, including Pfizer, Rite Aid, Staples, and American Express. Using the Decisions' no-code BPM platform, customers across industry verticals are empowered to rapidly automate and transform their business processes, improve operational efficiency, and drive company results, regardless of technical skillset.
We seek a highly analytical and detail-oriented Data Analyst to join our Product Engineering team. In this role, you will focus on collecting, organizing, and analyzing data tied to DORA Metrics (DevOps Research and Assessment), while creating actionable reports that enable data-driven decisions. Your contributions will directly influence our ability to measure, enhance, and optimize software delivery performance, operational efficiency, and the overall effectiveness of our product engineering efforts.
Key Responsibilities:
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Manage data from disparate systems and transform it into a structured, meaningful, and usable dataset.
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Automate data collection, analysis, and reporting processes to improve efficiency.
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Build and maintain dashboards, reports, and visualizations to communicate insights effectively.
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Collaborate with cross-functional teams to define KPIs and deliver actionable insights.
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Benchmark engineering performance against industry standards and internal goals.
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Conduct ad hoc analyses to address specific business challenges and support strategic initiatives.
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Ensure data quality, governance, and documentation for transparency and consistency.
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Analyze DORA Metrics (Deployment Frequency, Lead Time, MTTR, Change Failure Rate) to identify trends and improve software delivery performance.
Qualifications:
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Education: Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field.
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1+ years of experience as a Data Analyst, preferably in a software engineering or DevOps environment.
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Strong analytical skills, attention to detail, and the ability to deep dive into processes and systems.
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Excellent communication and collaboration abilities (written and verbal).
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Proficiency in MS Office, with advanced Excel and PowerPoint skills required.
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Proficiency in SQL and experience working with relational databases.
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Knowledge of scripting languages (e.g., Python, R) for data analysis and automation.
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Experience with data visualization tools (e.g., Tableau, Power BI, Looker) and analytics platforms.
Top Skills
What We Do
Decisions provides a rules-driven, no-code platform, enabling companies to drastically reduce their time to market for their applications. Decisions technology is deployed as the basis of multiple commercial applications in healthcare, life sciences, finance, logistics, and operations software. It is used directly by companies on almost every continent, ranging from mid-size companies to many Fortune 500 corporations.
Decisions provides one no-code platform for all types of business processes. With our no-code visual designer you can deploy fast and empower business users to manage their own processes. There are thousands of features built-in, ready to drag and drop and you’re done! Our rules-driven automation allows you to adapt quickly to price changes, regulations, customer demands and more.
We have seen technology evolve rapidly during the past decade, and the disruption of Covid-19 cannot be understated. Entire industries have been forced to reengineer how they get work done. The chaos caused by the pandemic has shown how ill-prepared many businesses are to adapt to sudden changes. For example, processing paperwork is difficult when employees are remote and paper forms are physically at the office.
Without automation, these processes grind to a halt. Systems and processes that are inflexible and cannot scale break down when people change their behavior all at once. These are just some of the challenges presented by the global pandemic that are accelerating the adoption of automation and digital transformation.
We remain committed to delivering an experience that gives more control and configuration ability to administrators. Specifically, allowing programmers to build things that can be configured by non-programmers in a way that is safe, visible and flexible. This challenge has driven us to create numerous technologies in use today at some of the world's largest and most innovative companies.
