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Design and maintain financial data infrastructure including pipelines, dashboards, and data marts for Cloud Finance. This role requires seven years in business intelligence, analytics, or quantitative analysis, with proficiency in SQL and at least one additional language like Python or R. You'll develop ML models for forecasting and anomaly detection, automate financial processes, and communicate complex analyses to senior finance leaders. A bachelor's degree in a quantitative discipline is required.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Take ownership of designing, developing, and maintaining critical data assets for Cloud Finance, including data marts, pipelines, and dashboards. Build an insightful, accurate, and production-level financial reporting infrastructure.
  • Develop scalable ML and AI modeling solutions for anomaly detection and forecasting to surface insights at scale, bringing clarity and new analytical capabilities to complex financial trends.
  • Seek out opportunities to improve our financial operations by devising new or automating existing financial models and processes, statistical or driver-based forecasts and simulations.
  • Serve as a trusted and reliable partner to Finance colleagues across Alphabet. Support their processes and empower them with new tools and uplevel their analytical capabilities.
  • Deliver insights to decision-makers which includes automating insight-gathering processes and owning the communication of complex technical analyses to senior audiences such as Finance VPs, Directors, and Chiefs of Staff.

Minimum qualifications:

  • Bachelor's degree in a quantitative discipline or equivalent practical experience.
  • 7 years of experience in business intelligence, analytics, or quantitative analysis related fields.
  • Experience programming with SQL, and an additional programming language (e.g. with R, Python, JavaScript).


Preferred qualifications:

  • Master's in a technical or quantitative field, or equivalent practical experience.
  • Experience building data infrastructure and solutions (e.g. designing architecture, building big data pipelines, implementing scalable monitoring).
  • Experience building Machine Learning models for forecasting or anomaly detection purposes.
  • Proficiency in a programming language for data analysis and automation (e.g., Python or R).
  • Excellent communication skills, including the ability to communicate complex findings in a concise manner to a non-technical audience.
  • Bachelor's degree in a quantitative discipline or equivalent practical experience.
  • 7 years of experience in business intelligence, analytics, or quantitative analysis related fields.
  • Experience programming with SQL, and an additional programming language (e.g. with R, Python, JavaScript).

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  • Role Business Intelligence Developer, Cloud Finance
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

152K – 310K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 288 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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