市场营销数据分析师 - 承包商
Marketing Data Analyst - Contractor
我们正在为人工智能时代重建生物科技
当突破被延迟时，世界将等待。从发现一种分子到患者，或从实验室到田间，涉及数千个缓慢、手动、不连贯的步骤。人工智能有潜力改变这一现状，将数十年的研发工作压缩成几年。但只有当干净、结构化的科学数据和人工智能被融入科学研究的过程中，这种改变才会发生。
Benchling 是生物技术研究与开发的人工智能平台。科学家使用 Benchling 设计实验、捕获结构化数据，并在他们的工作流程中直接运行 AI 代理和模型。全球超过 20 万名科学家信任 Benchling 来推动他们最重要的工作，从学术实验室到 Sanofi、Moderna，以及世界上前 50 强生物制药公司的一半以上。
我们正在为客户打造一位人工智能科学家。如果我们自己没有建立相应的基础，就无法做到这一点。人工智能素养是我们构建的基础；它是我们工作的核心，我们致力于帮助每一位新员工将其融入日常工作中。作为我们面试流程的一部分，你将完成一个简短的人工智能相关练习或讨论，以便我们了解你如何思考并利用人工智能在你的角色中产生影响。你可以自由参考你目前使用的任何工具、平台或工作流程。
职位概述
这是一个为期 6 个月的全职办公岗位，要求混合办公安排——每周至少三天（周一、周二和周四）在我们的旧金山总部。
我们的营销数据层是经过数年逐步构建的，这显而易见。支撑我们漏斗报告、活动归因和 SDR 工作流的模型、仪表板和数据管道积累了越来越多的补丁和缺口，这些正在阻碍我们的发展，尤其是在我们推进需要干净、良好文档记录的数据的 AI 驱动营销工具时。
我们正在寻找一位中级营销数据分析师，进行为期 6 个月的专注合作，嵌入到市场营销运营团队中。你将负责清理底层数据模型，交付我们一直在规划的核心仪表板，整合新的数据源，并充分文档化，使团队和我们的 AI 工具在合作结束后能够自助使用。
职责
- 负责营销漏斗的 dbt + Sigma 层，从活动成员到 MQL/MSL、会议和机会。解决依赖关系，填补模型空白，并端到端地记录逻辑。
- 将新的数据源整合到 Snowflake：广告平台 spe
查看英文原文
We are rebuilding biotech for the AI era.
When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done.
Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma.
We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today.
ROLE OVERVIEW
This is a 6 month contract in-office role with a required hybrid schedule — a minimum of three days per week (Monday, Tuesday, and Thursday) at our San Francisco HQ.
Our marketing data layer was built incrementally over several years, and it shows. The models, dashboards, and pipelines powering our funnel reporting, campaign attribution, and SDR workflows have accumulated patches and gaps that are increasingly holding us back particularly as we push into AI-driven marketing tooling that requires clean, well-documented data to work reliably.
We're looking for a mid-level marketing data analyst for a focused 6-month engagement embedded with the Marketing Operations team. You'll own the sprint to clean up the underlying data models, ship the core dashboards we've been scoping, integrate new data sources, and document everything well enough that the team and our AI tools can self-serve when the engagement ends.
RESPONSIBILITIES
- Own the dbt + Sigma layer for the marketing funnel, from campaign member to MQL/MSL, meeting and opportunities. Resolve dependencies, filling model gaps, and documenting logic end-to-end.
- Integrate new data sources into Snowflake: ad platform spend (Google, LinkedIn), GA4 traffic and conversion data, and Gong conversation and meeting object.
- Build and update marketing dashboards: funnel stage conversion, pipeline generation (effort, health, velocity), SDR activity and MQL outcomes, and per-product ARR attribution. Integrating new data sources into them.
- Build quality control and system health monitoring across the marketing stack: Marketo to SFDC sync health, lead routing coverage, data freshness, and email deliverability signals.
- Partner with our internal data team and other GTM analysts to align on core GTM data models.
- Produce a data dictionary: plain-language definitions of key marketing concepts and data model semantics written for both team and LLM consumption.
QUALIFICATIONS
- 4+ years in marketing analytics or marketing operations at a B2B SaaS company.
- Strong SQL skills and hands-on experience with dbt for data modeling and github for version control.
- Experience with Snowflake and a modern BI tool. Sigma strongly preferred.
- Working knowledge of Salesforce and Marketo data structures; you understand what an MQL is and how it moves between systems.
- Familiarity with marketing attribution concepts: campaign member models, multi-touch attribution, and lead-to-opportunity conversion.
- Experience building and documenting data models for non-technical consumers.
- Self-directed and comfortable working as an embedded contractor on a defined-scope engagement.
Benchling welcomes everyone.
We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.
We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.