Full-Time Senior Data & Analytics Lead

The simple task of buying software, services, or tools at work has become hopelessly complicated.
Today, enterprises spend $120T+ per year globally and rely on vendors more than ever before.
Zip addresses this problem with a purpose-built procurement platform.
Key Features: Provides a simple, consumer-grade user experience.
Developed leading solution in the $50B+ TAM space.
World's leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and Prudential rely on Zip.
World-class team from category-defining companies.
$2.2 billion valuation with $370 million in funding.
Focused on developing cutting-edge technology and expanding globally.

Role Overview: Seeking a Senior Data & Analytics Lead to partner with Finance, Strategy, and executive leadership teams.
Responsibilities:

1. Architect sophisticated models.
2. Develop clear and insightful data visualizations.
3. Deliver actionable insights for critical business decisions.
4. Optimize operational performance.
5. Transform complex financial data into strategic recommendations.
6. Empower stakeholders to make data-driven decisions.

Key Skills:

• Strategic Modeling & Analysis: Design and deploy advanced financial models, conduct scenario analysis.
• Proactive Insight & Recommendation Generation: Deliver predictive and prescriptive analytics, identify trends and anomalies.
• Financial Data Architecture Oversight: Define and refine data analytics architecture, collaborate with data engineering.
• Cross-Functional Partnership: Partner with Finance, FP&A, and other business units.
• Insightful Data Visualization: Create compelling interactive dashboards and reports.
• Financial Systems & Process Enhancement: Drive improvements in financial reporting.
• AI-Driven Financial Analytics: (Optional) Explore and implement advanced techniques.

Qualifications:

• 5+ years experience in data engineering, analytics engineering, or related field.
• 5+ years in analytical roles.
• SQL Mastery: Expert skills for data manipulation, financial modeling.
• Stakeholder Management & Communication: Translate complex data into actionable insights.
• Analytical & Problem-Solving: Solve ambiguous problems with sophisticated frameworks.
• Builders Mindset: Proactive, curious, results-driven, passionate about data solutions.
• Data Visualization Expertise: Build insightful dashboards with BI tools (Tableau, Power BI).
• Nice to Haves: Experience operationalizing AI/ML models, proficiency in Python.

Salary Range: $140,000 - $220,000

Perks & Benefits: Equity, full health/dental/vision, catered lunches/dinners, commuter benefits, team building events, flexible PTO, Apple equipment, 401k, etc.

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