高级分析工程师
Senior Analytics Engineer
在 Vanta，我们的使命是帮助企业在赢得信任的同时证明信任。我们相信安全应该持续监控和验证，我们赋能企业更好地实践安全，并轻松地加以证明。Vanta 有一支善良且才华横溢的团队，虽然一些成员有之前的安全经验，但许多人在没有相关经验的情况下也在 Vanta 取得了成功。
作为高级分析工程师，你将负责建立一流的分析功能基础。你将与我们的数据科学团队和业务利益相关者紧密合作，确保我们的分析堆栈和流程既能满足当前的业务需求，又能面向未来。
你在 Vanta 担任高级分析工程师时将负责以下工作：
- 设计并实现复杂的数据模型，以支持仪表盘、自助分析和数据科学团队。
- 编写高度优化、可扩展的 SQL 查询，运行在大规模、异构的数据仓库上。
- 通过语义层和可观测性功能启用 AI 工具，指导分析功能遵循最佳实践。
- 管理和改进推动数据驱动决策解决方案的数据基础设施。
- 协助开发前端应用，使分析数据集在全公司范围内可用。
- 与产品和企业工程系统团队合作，构建源系统结构，以便在整个企业中进行报告消费。
在这个职位上取得成功需要：
- 至少四年处理数据的经验，以及两年软件工程或相关领域的经验。
- 具备常见分析工具的经验（例如 dbt 是必须的，Stitch/Fivetran，Snowflake/BigQuery/Redshift，Airflow，Dagster，Looker/Mode/Sigma）。
- 带着系统导向和软件工程思维来开展分析工程实践。我们希望构建管理数据的框架，减少定制查询。
- 对现代数据方式中的维度模型和事实模型有深入理解。
- 对提升数据开发者体验充满热情，致力于为公司各处的数据赋予超级能力。
- 在数据仓库方面，希望在安全、匿名化和合规管理领域引领行业。
- 必须已获得在美国工作的授权，无需当前或未来的雇主担保。
- 愿意使用 AI 来增强自己的技能并加强工作——展现出好奇心、学习意愿，以及在负责任地应用 AI 以提高效率时的判断力。
查看英文原文
At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it.
As a Senior Analytics Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our data science team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future.
What you’ll do as an Senior Analytics Engineer at Vanta:
- Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams.
- Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses.
- Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices.
- Manage and improve data infrastructure needed to drive data-driven decision-making solutions.
- Help develop front end applications to expose analytical data sets enterprise wide
- Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise.
How to be successful in this role:
- Have at least four years of experience working with data and two years of experience in Software Engineering or a related field.
- Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma).
- Bring a system-oriented and software engineering mindset to the Analytics Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries.
- Deep knowledge of crafting dimensional and fact models in modern data fashion.
- Have a passion for enabling the developer experience of data, and being obsessed with giving data super powers across the company.
- Desire to lead the industry in security, anonymization, and compliance management when it comes to data warehousing.
- Must be authorized to work in the U.S. without the need for current or future employer sponsorship.
- Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.
What you can expect as a Vanta’n:
- Industry-competitive salary and equity
- Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
- 16 weeks paid Parental Leave for all new parents
- Health & wellness stipend
- Remote workspace, internet, and cellphone stipend
- Commuter benefits for team members who report to the SF and NYC office
- Family planning benefits
- Matching 401(k) contribution with immediate vesting
- Flexible PTO policy, plus 80 hours of Sick Time
- 11 company-paid holidays
- Virtual team building activities, lunch and learns, and other company-wide events!
- Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials.
#LI-remote
At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.
About Vanta
We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged.
Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.