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oracle

Sr Business Systems Analyst

Uber
San Francisco, USA
Full-time
Senior · 4+ years experience
Onsite
Discovered 1 weeks ago
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Full Job Posting

Basic Qualifications

  • Minimum 4 years of experience in data analytics, consulting, sales operations, or supply chain analytics.
  • Bachelor’s or Master’s degree in a quantitative field such as Engineering, Data Analytics, Finance, or Computer Science.
  • Minimum 2 years of direct experience in the strategy and execution of data governance, data quality, or AI/ML-driven projects.
  • Strong proficiency in SQL and hands-on experience with data visualization tools (Tableau or Power BI).
  • Experience with enterprise-level systems, specifically Salesforce (CPQ, Account Hierarchies) or Oracle/ERP environments.

Preferred Qualifications

  • Proficiency in Python for data science, automation, or API integration.
  • Hands-on experience with prompt engineering and deploying LLM-based solutions (e.g., GPT, Gemini).
  • Deep understanding of Master Data Management (MDM), data lineage, and metadata management.
  • Familiarity with compliance frameworks, such as SOX or HIPAA, and building audit-ready data processes.
  • Proven ability to translate complex, ambiguous business problems into structured, data-backed solutions for non-technical stakeholders.
  • Experience in high-growth tech environments where priorities and tech stacks evolve rapidly.

Responsibilities

  • For San Francisco, CA-based roles: The base salary range for this role is USD $133,000 per year - USD $148,000 per year.
  • You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
  • Lead the design and implementation of data governance frameworks and spend analytics programs, from the initial business case to the rollout of global operating models.
  • Scope and prioritize complex data requirements across matrixed stakeholders, including IT engineering, finance, and regional operations teams.
  • Build and maintain intelligent dashboards and real-time system alerts using Tableau or Power BI to deliver decision-ready insights to executive leadership.
  • Extract and analyze large-scale datasets from ERP and CRM systems (Oracle, Salesforce), identifying hidden patterns, risks, and multi-million dollar savings opportunities.
  • Champion technical excellence by establishing data quality standards, deduplication processes, and monitoring data traceability across the information lifecycle.
  • Experiment with emerging technologies, including prompt engineering and LLM model testing, to deploy AI agents that optimize inefficient sourcing or commercial workflows.

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