{"id":963720,"url":"https://alion.io/job/simbe-robotics-staffsenior-analytics-engineer-data-science-analytics-dsa","title":"Staff/Senior Analytics Engineer, Data Science & Analytics (DSA)","company":{"id":8498,"name":"Simbe Robotics","domain":"simberobotics.com","url":"https://alion.io/company/simbe-robotics","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":76,"open_postings":4,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":100,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":165000,"currency":"USD","period":"year","gross":null,"usd_annual":165000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Multimodal AI","optional":false},{"name":"BigQuery","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"LLM","optional":true},{"name":"Looker","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-15T21:47:23Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-05T01:51:29Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"San Francisco Bay Area (Hybrid - Burlingame office 2-3x/week required)\nMust currently reside locally; this is not a remote-eligible role.\nSimbe 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.\nPosition Overview\nWe are looking for an experienced Analytics Engineer to join the Data Science & Analytics team, owning production-grade data pipelines from ideation through delivery. This is an engineering-forward role, you'll partner closely with Product Management, Engineering, and Data Scientists to ship reliable, user-facing features that surface insights from our retail data at scale. Establish organized data marts to empower self-serve analytics and AI powered insights.\nYou are someone who thrives at the intersection of data and software engineering: you write production code, own the reliability of the systems you build, and drive cross-functional projects to completion without waiting to be unblocked.\nLeveling (Senior or Staff) will be determined through the interview process based on your background and technical depth.\nKey Responsibilities\nOwn production pipelines end-to-end - design, build, and maintain robust analytics pipelines that run reliably in production, including monitoring, alerting, and iterative improvement\n\nScope and deliver features - take raw data and shape it into analytical models via Kimball Dimensional modeling with dbt.\n\nDrive cross-functional delivery - proactively identify blockers, align stakeholders across teams, and move projects forward with minimal oversight\n\nApply AI tooling to accelerate work - leverage LLMs, agents, and other AI-assisted workflows to increase the speed and quality of analysis and development\n\nTranslate retail data into decisions - connect store-level signals (inventory, on-shelf availability, task execution, etc.) to meaningful business outcomes for both internal teams and retail clients\n\nRaise analytical standards - establish best practices for reproducibility, documentation, and code quality across the team's data science and analytics work\n\nBuild conversational data experiences - design and prototype AI agent or chatbot interfaces that allow internal or external users to query and explore retail data through natural language (nice to have)\n\nQualifications\n5+ years of experience in analytics engineering or a closely related role, with demonstrable delivery of production features\n\nExperience with dbt for data transformation and Kimball Dimensional modeling: writing models, tests, and documentation as part of a production analytics engineering workflow\n\nSolid SQL and experience working with large-scale cloud data platforms (GCP/BigQuery preferred)\n\nExperience owning the full lifecycle of analytics features: scoping, building, shipping, and maintaining\n\nProven ability to work across functions: you've partnered with Engineering, Product, or Commercial teams and know how to communicate tradeoffs and drive alignment\n\nRetail industry experience strongly preferred (store operations, inventory, merchandising, supply chain, or equivalent)\n\nHands-on experience using AI tools (LLM APIs, coding assistants, prompt engineering) to accelerate analytical work\n\nPreferred Qualifications\nFamiliarity with, pipeline orchestration (Airflow or similar), model monitoring, CI/CD for analytical workflows\n\nExperience with data visualization tools (Looker, Tableau, or similar) for communicating findings to non-technical stakeholders\n\nWhy You'll Love Working with Us\nOwnership that matters - you'll have real scope over systems and features that run in production and directly affect how our retail partners operate\n\nHigh-signal environment - focused team where your work is visible and your technical judgment is trusted\n\nRetail at scale - Simbe's data spans thousands of stores and billions of shelf observations, a genuinely rich and challenging domain","description_format":"text","description_chars":4121,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Retail & Commercial Robotics","Retail & Commerce AI"],"lifecycle":[{"event":"open","at":"2026-09-16T12:34:57Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5 · green card filings: 1","filings_12m":5,"filings_prev_12m":1,"green_card_filings_12m":1,"median_offered_wage_usd":160000,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.891,"p_room":1,"age_days":18,"expected_fill_days":100,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-04T05:45:00Z"},"pay":{"stated_usd_annual":165000,"is_top_pay":false},"html_url":"https://alion.io/job/simbe-robotics-staffsenior-analytics-engineer-data-science-analytics-dsa","json_url":"https://alion.io/job/simbe-robotics-staffsenior-analytics-engineer-data-science-analytics-dsa.json","meta":{"generated_at":"2026-10-05T02:49:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3888,"day_limit":5000,"remaining_today":1112,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}