Back to jobs

Accounting Analytics & BI Engineer

San Francisco, CA | New York City, NY

Actively hiring, first seen by us today
Pay
USD 270,000–345,000/year — pay source
Annual Salary: $270,000—$345,000 USD Logistics
The annual compensation range for this role is listed below.
Read the full posting
Work setting
Not stated
Employment
Not stated

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Visa sponsorship: We do sponsor visas! However, we aren't 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.
Read the full posting

What you’ll work on

Full posting

As a member of our Finance Analytics and Business Intelligence team, you'll play an instrumental role in our company's mission of building safe and beneficial AI by establishing the analytics engineering and business intelligence capabilities our Accounting organization runs on.

You'll partner closely with the Accounting organization to build the data foundation that turns financial and operational data into reliable, self-serve insight and automated processes.

  • Design, build, and maintain data models and orchestration pipelines (dbt, Airflow) that power analytics, reporting, and downstream financial workflows

  • Develop dashboards, visualizations, and data applications that give stakeholders self-serve access to their data

  • Translate stakeholders' business questions into well-defined metrics and tools, and turn the resulting analysis into clear recommendations

From the employer’s posting
As a member of our Finance Analytics and Business Intelligence team, you'll play an instrumental role in our company's mission of building safe and beneficial AI by establishing the analytics engineering and business intelligence capabilities our Accounting organization runs on. In this unique company, technology, and moment in history, your work will be critical to ensuring accurate financial reporting, streamlining accounting processes, and supporting financial operations as we deploy safe, frontier AI at scale to the world.
You'll partner closely with the Accounting organization to build the data foundation that turns financial and operational data into reliable, self-serve insight and automated processes. That means owning the data models and orchestration beneath accounting analytics, designing the dashboards and data applications stakeholders rely on day to day, and partnering across Data Engineering, Data Science, and the broader Finance organization to make sure every number is one the team can trust. Increasingly, it also means defining the future of AI-powered accounting automation; finding where AI can take on work that is manual today and reshape how the function operates.
Key responsibilities Design, build, and maintain data models and orchestration pipelines (dbt, Airflow) that power analytics, reporting, and downstream financial workflows Develop dashboards, visualizations, and data applications that give stakeholders self-serve access to their data
Design, build, and maintain data models and orchestration pipelines (dbt, Airflow) that power analytics, reporting, and downstream financial workflows Develop dashboards, visualizations, and data applications that give stakeholders self-serve access to their data Translate stakeholders' business questions into well-defined metrics and tools, and turn the resulting analysis into clear recommendations
Develop dashboards, visualizations, and data applications that give stakeholders self-serve access to their data Translate stakeholders' business questions into well-defined metrics and tools, and turn the resulting analysis into clear recommendations Build analytics that support financial reporting, the close process, reconciliations, and scenario analysis

What you’ll bring

All qualifications

Core experience

  • Proficiency in SQL and Python (or another object-oriented programming language)
  • Experience with data modeling and orchestration tools (e.g., dbt and Airflow)
  • Experience with data visualization and business intelligence tools (e.g., Looker, Tableau, Hex, Streamlit)
  • Experience designing self-serve analytics experiences for non-technical stakeholders

Preferred experience

  • Experience using AI to improve or automate analytical processes
  • Experience building data applications
  • Experience with cloud computing platforms (e.g., AWS, GCP) and their cost structures
  • Experience modeling financial impact, including forecasting and scenario analysis
Qualification wording
Proficiency in SQL and Python (or another object-oriented programming language)
Experience with data modeling and orchestration tools (e.g., dbt and Airflow)
Experience with data visualization and business intelligence tools (e.g., Looker, Tableau, Hex, Streamlit)
Experience designing self-serve analytics experiences for non-technical stakeholders
Experience using AI to improve or automate analytical processes
Experience building data applications
Experience with cloud computing platforms (e.g., AWS, GCP) and their cost structures
Experience modeling financial impact, including forecasting and scenario analysis
Education & alternatives
Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.

In the employer’s words · Read in context

Apply at Anthropic

Posting record

Report an error

Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$270K–$345K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 55.

At Anthropic, jobs usually come down by about day 46.

From 10,120 similar postings that came down, and 44 of Anthropic’s. Coming down is not always a hire.

Anthropic is hiring

26 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • dbt
  • GCP
  • Looker
  • Tableau
  • Airflow
  • Streamlit
Where the posting names them
Minimum qualifications - Proficiency in SQL and Python (or another object-oriented programming language) - Experience with data modeling and orchestration tools (e.g., dbt and Airflow)
- Experience building data applications - Experience with cloud computing platforms (e.g., AWS, GCP) and their cost structures - Experience modeling financial impact, including forecasting and scenario analysis
Key responsibilities - Design, build, and maintain data models and orchestration pipelines (dbt, Airflow) that power analytics, reporting, and downstream financial workflows - Develop dashboards, visualizations, and data applications that give stakeholders self-serve access to their data
- Proficiency in SQL and Python (or another object-oriented programming language) - Experience with data modeling and orchestration tools (e.g., dbt and Airflow) - Experience with data visualization and business intelligence tools (e.g., Looker, Tableau, Hex, Streamlit)
- Experience with data modeling and orchestration tools (e.g., dbt and Airflow) - Experience with data visualization and business intelligence tools (e.g., Looker, Tableau, Hex, Streamlit) - Experience designing self-serve analytics experiences for non-technical stakeholders

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

About Anthropic

Anthropic’s 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 a member of our Finance Analytics and Business Intelligence team, you'll play an instrumental role in our company's mission of building safe and beneficial AI by establishing the analytics engineering and business intelligence capabilities our Accounting organization runs on. In this unique company, technology, and moment in history, your work will be critical to ensuring accurate financial reporting, streamlining accounting processes, and supporting financial operations as we deploy safe, frontier AI at scale to the world.

You'll partner closely with the Accounting organization to build the data foundation that turns financial and operational data into reliable, self-serve insight and automated processes. That means owning the data models and orchestration beneath accounting analytics, designing the dashboards and data applications stakeholders rely on day to day, and partnering across Data Engineering, Data Science, and the broader Finance organization to make sure every number is one the team can trust. Increasingly, it also means defining the future of AI-powered accounting automation; finding where AI can take on work that is manual today and reshape how the function operates.

This is a foundational, hands-on role at the intersection of accounting, analytics, and business intelligence. You'll establish the durable, scalable systems the fast-growing function depends on, bringing the rigor of a culture of excellence to a function still being built from the ground up, and taking projects end to end, from an ambiguous question to a trusted, scalable system.

Key responsibilities

  • Design, build, and maintain data models and orchestration pipelines (dbt, Airflow) that power analytics, reporting, and downstream financial workflows
  • Develop dashboards, visualizations, and data applications that give stakeholders self-serve access to their data
  • Translate stakeholders' business questions into well-defined metrics and tools, and turn the resulting analysis into clear recommendations
  • Build analytics that support financial reporting, the close process, reconciliations, and scenario analysis
  • Define the future of AI-powered accounting automation in partnership with stakeholders, streamlining workflows and reducing manual effort
  • Champion data quality, testing, and documentation across the data stack

Minimum qualifications

  • Proficiency in SQL and Python (or another object-oriented programming language)
  • Experience with data modeling and orchestration tools (e.g., dbt and Airflow)
  • Experience with data visualization and business intelligence tools (e.g., Looker, Tableau, Hex, Streamlit)
  • Experience designing self-serve analytics experiences for non-technical stakeholders
  • A track record of partnering closely with Finance or Accounting teams to drive business and financial outcomes, turning open questions and data into clear, insightful analysis

Preferred qualifications

  • Experience using AI to improve or automate analytical processes
  • Experience building data applications
  • Experience with cloud computing platforms (e.g., AWS, GCP) and their cost structures
  • Experience modeling financial impact, including forecasting and scenario analysis
  • A bias for action and urgency, not letting perfect be the enemy of effective
  • A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress
  • A deep curiosity and energy for pulling the thread on hard questions
  • A passion for Anthropic's mission of building safe, beneficial AI

The annual compensation range for this role is listed below. 

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:
$270,000—$345,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based 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 aren't 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 you're interested in this work. We think AI systems like the ones we're 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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term 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. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact 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: GPT-3, Circuit-Based 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Annual Salary: $270,000—$345,000 USD Logistics
More source context
The annual compensation range for this role is listed below.
Location & working pattern

San Francisco, CA | New York City, NY

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based 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 aren't 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.
Work authorization
Location-based 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 aren't 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 you're interested in this work. We think AI systems like the ones we're 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.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.