Job Description
Simbe Robotics is a leading retail robotics company providing in-store intelligence solutions that help retailers optimize operations, improve shelf execution, and deliver valuable data insights. Our autonomous robots and multi-modal data collection systems are transforming how retailers manage inventory and make data-driven decisions.
Position Overview
Simbe’s Data Science & Analytics team is looking for a Service Analyst to own end-to-end visibility into how well we’re delivering on our client commitments. You’ll sit at the intersection of client success, engineering, and operations. You will be building the processes, owning the investigations, and strengthening the cross-functional partnerships that keep our service quality measurable, accountable, and continuously improving.
This role demands someone who is analytically rigorous and operationally disciplined. You’ll be tracking dozens of moving pieces across clients, SLAs, and system behaviors simultaneously. The role requires both the attention-to-detail to catch what others miss and the organizational instincts to keep it structured and actionable.
Responsibilities
Service Monitoring
Partner with the account team to understand contracted requirements, accuracy SLAs, and prioritization across the clients portfolio
Own tracking and reporting of account and fleet level performance across deliverables, accuracy, and timeliness: with the rigor to detect subtle regressions and the discipline to report them consistently
Analysis & QA
Perform detailed QA and root cause analysis to identify service gaps and systemic patterns by going beyond surface metrics to understand what’s actually happening and why
Document findings with precision; maintain a clear audit trail of issues, resolutions, and follow-ups
Flag issues and prioritize fixes with the engineering team; hold the thread through to resolution and verify that quality actually improved
Process & Documentation
Own and continuously improve the service observability handbook and standard operating procedures
Bring structure to recurring workflows so that nothing falls through the cracks across teams
Cross-functional Collaboration
Work with the data-labeling team to forecast resource requirements given contracted accuracy SLAs
Collaborate with the Computer Vision, Solutions Engineering, Service Operations, and Client Success teams to configure the system to maximize service quality
Host office hours to drive adoption of service observability tools across the broader organization
Tooling & Dashboards
Build and maintain dedicated dashboards and tooling (Looker, BigQuery, etc.) to monitor service health at the client and fleet level
Maintain a high standard of data accuracy and dashboard reliability. You are the source of truth others depend on
Qualifications
2–5 years in a data analyst, operations analyst, QA analyst or similar role with a strong analytical and operational bent
Strong SQL and data querying skills. Comfortable working in BigQuery or equivalent cloud warehouse
Experience building and maintaining dashboards in BI tools (Looker preferred)
Exceptionally organized, able to manage multiple workstreams, track open issues across teams, and keep documentation current without prompting
High attention to detail: you notice when numbers don’t add up, when a trend breaks pattern, or when a process step was skipped
Clear communicator across technical and non-technical audiences; able to translate data findings into crisp operational recommendations
Preferred Qualifications
Experience with SLA/SLO tracking or service-level reporting in a SaaS or tech operations context
Familiarity with dbt or similar data transformation tooling
Exposure to forecasting or capacity planning workflows
$100,000 - $125,000 a year
The base salary offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including equity compensation, in addition to a full range of medical, financial, and/or other benefits.
Simbe’s approach emphasizes total rewards - base pay, equity, incentives, and benefits - rather than viewing compensation as cash alone. We believe the full package, including ownership through equity and well-being support, is what drives engagement, retention, and alignment with our mission.
Closing
At Simbe, you will be at the forefront of retail innovation, working with cutting-edge AI and robotics technologies to transform retail operations. Our culture is dynamic, inclusive, and driven by a passion for improving the way retailers operate and serve their customers. Join us to be a part of a team that is not only reshaping the future of retail but also offering immense value to our clients worldwide.
Simbe Values: R. E. T. A. I. L.
Result Driven - We are customer-centric and results-driven. We strive to create immense value for our team, partners, customers, and investors.
Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally.
Transparent - We highly value open communication internally, and with our partners and customers. We are receptive to feedback.
Agile - We are agile and always eager to learn. We quickly adapt to changes and customer needs.
Innovative - We are bold and innovative, with an intense focus on product design and user experience.
Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
