Data Analyst, Reports & Insights; Tech Support Operations; Req

Position: Data Analyst, Reports & Insights (Tech Support Operations) (Req # 1773)

Overview

From the very beginning, Sugar CRM had a unique vision: to offer a different kind of customer relationship management (CRM) software. We pioneered a solution that easily adapts to customer needs, and now, more than two decades later, we’re on a mission to help sales teams reach their highest potential. Our diverse team around the world shares a passion for helping customers succeed. Together, we’re building a culture that values personal and professional growth—and we’re proud to be recognized as a Great Place to Work. We care about work/life balance and flexibility for our employees, and we're proud of how we show up for our customers every day. If you're looking to level up your career and help businesses grow better and faster, you’re in the right place. Learn more about Sugar CRM careers and how you can be part of our journey. Role Where Do You Fit? We are looking for a data-driven and detail-oriented Operations Analyst – Reports & Insights to drive visibility and actionable insights across our Technical Support organization. This role is responsible for building reporting infrastructure, surfacing operational trends, and enabling data-informed decisions that elevate support performance and customer experience. The ideal candidate is comfortable working across datasets, tools, and stakeholders—translating complex data into meaningful narratives that guide planning, optimization, and execution. You’ll partner closely with Support Operations and Technical Support Leadership to deliver accurate, timely, and impactful reporting. This role operates on a hybrid model, with a mix of remote work and in-office collaboration at our Denver, Colorado location, specifically, working in-office (3) days per week. Impact You Will Make in the Role

• Design, build, and maintain reporting dashboards and data visualizations that provide clear visibility into support operations, case patterns, agent productivity, backlog health, and customer sentiment.
• Surface trends and anomalies in case volume, escalation rates, SLA compliance, and agent performance to identify operational gaps and improvement opportunities.
• Analyze workforce distribution and utilization to support staffing decisions, regional load balancing, and shift planning.
• Provide insights into customer-raised case patterns, including product-related issues, recurring themes, and root causes, to guide proactive support and cross-functional alignment.
• Collaborate with Support Operations and leadership to translate operations needs into actionable metrics and reporting frameworks.
• Deliver regular insights to support performance reviews, strategic planning, and optimization initiatives.
• Ensure data accuracy, consistency, and integrity across systems, driving confidence in operational metrics used for decision-making.
• Enable a data-driven culture by providing self-serve reporting guidance and fostering data literacy within the Technical Support organization.

What You Will Bring

• 3–5 years of experience in operations analysis, data analytics, or support operations analytics, preferably in a SaaS or technical support environment.
• Proven ability to translate complex data sets into actionable insights and operational recommendations.
• Proficiency in SQL and experience with BI tools (e.g., Looker, Tableau, Power BI) for building dashboards and automated reports.
• Strong analytical skills with experience identifying performance gaps, workflow inefficiencies, and trends across large support datasets.
• Familiarity with CRM and support platforms such as Zendesk, Salesforce, or Sugar

CRM.

• Excellent communication skills with the ability to present data to technical and non-technical stakeholders.

Preferred Qualifications

• Experience supporting Technical Support or Customer Experience teams with reporting on SLAs, CSAT, case volume, and agent productivity.
• Working knowledge of data modeling, data governance, or structured reporting systems.
• Experience in workforce analysis or forecasting for global or distributed support teams.
• Familiarity with scripting or automation tools (e.g., Python, dbt, or similar) to support scalable data workflows.
• Understanding of Sugar

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