Senior Data Analyst – Customer Success Data Operations

Overview

About Jules AI

At Jules AI, we’re redefining how recycled and industrial commodities are traded — building intelligent systems that bring efficiency, transparency, and insight to every transaction. Our mission is bold: empower smarter decisions through data, automation, and AI-powered intelligence.

Now, we’re looking for a Senior Data Analyst to help our customers unlock the full potential of their data — turning raw information into actionable intelligence that fuels smarter trade, risk management, and operational excellence.

What You’ll Do
Data Engineering & Integration

• Build, maintain, and optimize data pipelines connecting internal databases and external sources.
• Write efficient SQL queries to clean, validate, and transform large datasets for reporting and AI integrations.
• Map data elements between systems, ensuring accuracy, consistency, and traceability across workflows.

Analytics & Insights

• Translate complex business questions — like “Who are my best suppliers?”, “Who owes me money — and for how long?”, or “Where am I losing efficiency in logistics?” — into powerful, data-driven answers.
• Design dashboards, queries, and data models that turn raw data into meaningful insights for customers and internal teams.
• Build automated reports that blend structured data with templates to streamline intelligence delivery.

Stakeholder Collaboration

• Partner closely with Customer Success, Product, and Engineering teams to understand needs and translate them into actionable data solutions.
• Act as the primary data contact for customer-facing teams, ensuring insights are timely, accurate, and aligned with business goals.

Data Quality & Automation

• Define and monitor data quality thresholds, and implement robust validation and reconciliation procedures.
• Identify opportunities to automate reports, workflows, and QA processes, reducing manual effort and increasing reliability.
• Investigate, troubleshoot, and document root causes for data issues — driving continuous improvement.

Documentation & Knowledge Sharing

• Maintain clear documentation for data models, mappings, and operational processes.
• Share best practices, tools, and learnings to elevate the data culture within the team.

*What You Bring
*

• 2+ years of experience in data management, analytics, or operations.
• Bachelor’s degree in Computer Science, Engineering, or Data-related fields (Master’s a plus, not required).
• Advanced proficiency in SQL and Excel/VBA.
• Working knowledge of Python for data manipulation and automation (preferred but not required).
• Familiarity with JSON, HTML, and diverse data formats.
• Strong background in data analysis, process optimization, and reporting automation.
• Excellent communication skills — you can explain technical findings to both developers and business leaders.
• Detail-oriented mindset, analytical curiosity, and ownership mentality.

Why You’ll Love Working With Us

• Collaborate with a global, diverse team bringing intelligence to the recycled commodities ecosystem.
• Work on a rich, structured dataset — more than 200 tables covering every step of the transaction journey — a playground for data lovers.
• Shape how AI and analytics intersect, powering real-time insights across systems like ChatGPT, Claude, and Luzmo.
• Enjoy flexibility, autonomy, and growth — in how you work, learn, and evolve.
• Competitive compensation, annual appraisals, health coverage, paid vacation, and flexible hours for work-life balance.
• Be part of a company that values diversity, inclusion, and innovation — because better perspectives lead to better products.

Bonus Traits We Value

• You think like a builder: designing data solutions that scale efficiently.
• You think like an analyst: spotting patterns, anomalies, and opportunities before others do.
• You think like a partner: aligning data strategy with business outcomes and customer success.