Analytics Engineer
Analytics Engineer
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$ 265000 - 315000
1 Vacancy
Job Description
About Anthropic
Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.
About the role:
As an Analytics Engineer you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering Product GTM Finance and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable accurate metrics that can scale with our companys growth. You will also lead your own projects to enable selfserve insights to help teams make datadriven decisions.
Responsibilities:
- Understand the data needs of stakeholder teams in terms of key data models and reporting and translate that into technical requirements
- Define build and manage key data pipelines in dbt that transform raw logs into canonical datasets
- Establish high data integrity standards and SLAs to ensure timely accurate delivery of data
- Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
- Build foundational data products dashboards and tools to enable selfserve analytics to scale across the company
- Influence the future roadmap of Product and GTM teams from a data systems perspective
- Become an expert in our organizations data models and the companys data architecture
You may be a good fit if you have:
- 6 years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles preferably partnering with GTM and Product leads to build and report on key companywide metrics.
- A passion for the companys mission of building helpful honest and harmless AI.
- Expertise in building multistep ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
- Expertise in SQL and Python to transform data into accurate clean data models
- Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple crossfunctional teams.
- A bias for action and urgency not letting perfect be the enemy of the effective.
- A fullstack mindset not hesitating to do what it takes to solve a problem endtoend even if it requires going outside the original job description.
- Experience building an Analytics Data Engineering (or similar) function at startups.
- A strong disposition to thrive in ambiguity taking initiative to create clarity and forward progress.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Annual Salary:
$265000 $315000 USD
Logistics
Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.
Locationbased hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.
Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.
How were different
We believe that the highestimpact AI research will be big science. At Anthropic we work as a single cohesive team on just a few largescale research efforts. And we value impact advancing our longterm goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highestimpact work at any given time. As such we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT3 CircuitBased Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues.
Employment Type
Full Time
