Finance Systems, Finance & Strategy Sr. Business Systems Analyst

Anthropic

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: $ 205000 - 265000
Posted on: 14 hours ago
Vacancies: 1 Vacancy

Job Summary

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

We are looking for a Senior Business Systems Analyst to join our Finance Systems this role you will be responsible for the hands-on administration optimization and support of our financial planning and analysis systems. Youll work closely with Finance & Accounting stakeholders to translate business requirements into technical solutions maintain data integrity and drive continuous improvements to our financial systems infrastructure.

As a Senior Business Systems Analyst youll be a key technical contributor who bridges the gap between our finance teams and our technology platforms. Youll manage day-to-day system operations support critical financial processes and help build scalable solutions that enable efficient financial planning forecasting and reporting as we continue to grow.

Responsibilities:

Systems Administration and Support

  • Serve as a primary administrator for our financial planning platform (Pigment) maintaining system health and optimal performance
  • Manage user access security settings and system configurations to ensure appropriate controls and data governance
  • Provide technical support and troubleshooting for end-users resolving issues and answering system-related questions
  • Monitor system performance and proactively identify opportunities for optimization

System Development and Enhancement

  • Design build and maintain models and workflows within Pigment to support financial planning budgeting forecasting and reporting processes
  • Develop and maintain integrations between Pigment and other enterprise systems (e.g. Workday Financials Salesforce CRM etc.)
  • Create and maintain comprehensive system documentation including model design specifications process flows user guides and SOPs
  • Build custom reports dashboards and visualizations to meet stakeholder needs

Business Partnership and Process Improvement

  • Partner with Finance & Strategy Accounting and other Finance teams to understand business requirements and translate them into technical solutions
  • Support the month-end and quarter-end close processes by ensuring timely and accurate data flows
  • Identify and implement process improvements to streamline financial operations and enhance data quality
  • Participate in testing and validation of system changes ensuring accuracy and reliability
  • Assist with training and onboarding of new system users

Data Management and Quality

  • Ensure the accuracy and integrity of financial data across systems
  • Develop and maintain data validation rules and quality checks
  • Troubleshoot data discrepancies and work with relevant teams to resolve issues
  • Support data migration and transformation activities as needed

You may be a good fit if you:

  • Have 8 years of experience in business systems analysis with a focus on financial planning and analysis systems
  • Have hands-on experience administering and developing solutions in enterprise planning platforms (e.g. Pigment Anaplan Adaptive Planning or similar EPM tools)
  • Possess strong technical skills including advanced Excel/Google Sheets SQL and data modeling
  • Have demonstrated ability to translate business requirements into technical specifications and system designs
  • Are proficient in creating and maintaining system integrations and data pipelines
  • Have excellent problem-solving skills and attention to detail
  • Are a clear communicator who can explain technical concepts to non-technical stakeholders
  • Can work independently and manage multiple priorities in a fast-paced environment
  • Have a strong understanding of FP&A processes financial reporting and accounting principles

Strong candidates may also have:

  • Experience with Workday Financials Salesforce or other enterprise business systems
  • Familiarity with data visualization tools such as Hex Looker Tableau or Power BI
  • Knowledge of programming or scripting languages (Python JavaScript etc.)
  • Experience supporting rapid company growth and scaling financial systems accordingly
  • Understanding of financial data security and compliance requirements
  • Certification in relevant planning platforms (e.g. Pigment Anaplan Model Builder)
  • Experience working at a high-growth technology company
  • Project management skills and experience leading system implementation workstreams

The expectedbase compensation for this position is below. Our total compensation package for full-time employees includes equity benefits and may include incentive compensation.

Annual Salary:

$205000 - $265000 USD

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

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 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 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. Were 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 aboutour policyfor using AI in our application process


Required Experience:

Senior IC

About AnthropicAnthropics 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 t...
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Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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