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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Own end-to-end visibility of client commitments by monitoring service health, tracking SLAs, and performing root cause analysis. Build and maintain the service observability handbook and dashboards to ensure data accuracy and operational improvement.
Requires 6+ years of professional experience in data or operations analysis with strong SQL and BI tool skills. Must be exceptionally organized with high attention to detail and the ability to communicate technical findings to non-technical audiences.
San Francisco Bay Area (Hybrid — Burlingame office 2-3x/week required)
Must currently reside locally; this is not a remote-eligible role.
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.
Simbe's Data Science & Analytics team is looking for a Senior 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 is a delivery-driven role, not analytics for its own sake. Success is measured by whether our clients received accurate, timely data, not by the elegance of the analysis.
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.
You'll be personally building, owning, and operating the SOPs day to day, not directing a team.
\nResponsibilitiesIndependently define and evolve what "healthy service" looks like across the clients portfolio, partnering with the account team on contracted requirements, accuracy SLAs, and prioritization without needing that framework handed to you
Own tracking and reporting of account and fleet level performance across deliverables, accuracy, and timeliness end-to-end: with the rigor to detect subtle regressions and the discipline to report them consistently, and the judgment to decide what's worth escalating versus monitoring
Lead detailed QA and root cause analysis to identify service gaps and systemic patterns, going beyond surface metrics to understand what's actually happening and why, setting the bar for investigation quality rather than following an existing playbook
Document findings with precision; maintain a clear audit trail of issues, resolutions, and follow-ups
Drive issues to resolution directly with the engineering team, exercising independent judgment on prioritization and escalation; own the outcome, not just the handoff, and verify that quality actually improved
Own and continuously evolve the service observability handbook and standard operating procedures — proactively identifying where process is missing or breaking down, not just maintaining what exists
Bring structure to recurring workflows so that nothing falls through the cracks across teams, and identify opportunities to scale or automate as the client base grows
Work with the data-labeling team to forecast resource requirements given contracted accuracy SLAs
Act as a trusted, senior voice with the Computer Vision, Solutions Engineering, Service Operations, and Client Success teams — shaping how the system gets configured to maximize service quality, not just executing on requests
Host office hours and mentor others on service observability tooling and practices, driving adoption and raising the bar across the broader organization
Build and maintain dedicated dashboards and tooling (Looker, BigQuery, etc.) to monitor service health at the client and fleet level, with full ownership over architecture and design decisions
Maintain a high standard of data accuracy and dashboard reliability. You are the source of truth others depend on, with the autonomy to decide how that trust gets earned and maintained
6+ years of full-time, post-degree professional experience in a data analyst, operations analyst, QA analyst, or similar role with a strong analytical and operational bent (internships, research assistantships, and time enrolled in a degree program do not count toward this minimum)
Experience with SLA/SLO tracking or service-level reporting in a SaaS or tech operations context
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
Familiarity with dbt or similar data transformation tooling
Exposure to forecasting or capacity planning workflows
Experience mentoring or setting standards for junior analysts
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.
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.
The store intelligence platform retail trusts
Simbe, the global leader in retail shelf digitization, is the trusted partner for retailers confronting today's most critical challenges: 66% of "out-of-stock" items hidden within stores, 90% of pricing errors missed by manual audits, and 95% labor attrition. As the market leader across a dozen retail sectors globally, our unique combination of AI, robotics, RFID, and advanced sensors delivers immediate shelf intelligence without the need for planograms. Simbe customers consistently achieve transformative results: 2% margin growth, 98% on-shelf availability, 90% improved price accuracy, and 50+ weekly labor hours reallocated to customer service per store. Our enterprise-grade platform seamlessly integrates with existing retail systems, delivering ROI within three months while powering the intelligent retail operating model necessary to compete today.
Offices: 385 Oyster Point Blvd, STE #2, South San Francisco, California 94080, US
Based on 2242 listings with disclosed salaries, most data & analytics jobs in San Francisco, CA pay between $125k–$278k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 2,790 open data & analytics positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include OpenAI, UCSF Department of Anesthesia and Perioperative Care, Salesforce, Williams-Sonoma, Inc., Anthropic, among others. Browse the listings above to see every active employer.
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