
Job Overview
Location
Remote - European timezone
Job Type
Full-time
Category
Data Science
Date Posted
May 26, 2026
Full Job Description
đź“‹ Description
- • Serve as the primary analytical partner for Nivoda’s Global Fulfillment Team, driving data-informed optimization of supply chain, logistics, and delivery operations to enhance speed, cost-efficiency, and reliability.
- • Design, build, and maintain automated dashboards tracking key fulfillment KPIs including shipping costs, transit times, SLA adherence, and hub performance, ensuring data accuracy and accessibility for stakeholders.
- • Independently write and own complex SQL queries to extract, transform, and analyze large-scale fulfillment datasets, translating business questions into structured analytical workflows and building reusable data models.
- • Proactively identify trends, anomalies, and opportunities within fulfillment data to generate actionable insights that directly influence operational and strategic decision-making.
- • Collaborate cross-functionally with Operations, Logistics, Product, and Data teams to understand pain points, support decision-making, and provide analytical input into key strategic initiatives.
- • Work with Data Engineers to ensure fulfillment data is clean, well-structured, and scalable within the data warehouse, enabling long-term analytics and reporting capabilities.
- • Monitor data integrity across fulfillment systems, proactively identifying and resolving discrepancies to maintain trust in reporting and operational metrics.
- • Track key fulfillment KPIs continuously, flagging performance deviations and investigating root causes related to courier performance, batching efficiency, and delivery speed.
- • Leverage AI tools to accelerate data analysis, automate repetitive tasks, and draft written outputs, demonstrating practical, daily use of AI-assisted workflows rather than theoretical interest.
- • Ensure consistent KPI definitions across all reporting channels and maintain alignment between analytical outputs and operational goals.
- • Translate ambiguous logistical problems into structured data investigations, delivering clear, evidence-based recommendations that drive measurable improvements in fulfillment performance.
- • Maintain ownership of fulfillment data pipelines and reporting standards, ensuring scalability and reliability as the company expands across new European regions.
- • Support continuous monitoring of operational performance by integrating real-time data feedback loops into daily workflows and decision cycles.
🎯 Requirements
- • 3+ years of experience in a Data Analyst or Business Analyst role
- • Advanced proficiency in SQL, including complex joins, aggregations, window functions, and independent analysis of large datasets
- • Proven ability to translate raw data into clear, actionable insights that influence business decisions
- • Strong problem-solving skills with experience investigating ambiguous operational issues and identifying root causes
- • Demonstrated interest in logistics, e-commerce, marketplaces, or supply chain operations
- • Experience with cloud data warehouses such as Snowflake or BigQuery
- • Experience building dashboards in Looker, Tableau, or Power BI
- • Exposure to dbt or experience structuring reusable data models
🏖️ Benefits
- • Flexible working hours and a vibrant company culture
- • Remote work within European timezones
- • Unlimited holiday allowance
- • Plenty of opportunities for growth and learning
- • Chance to join and contribute to a company during its exponential expansion phase
Skills & Technologies
About Nivoda Limited
Nivoda operates a B2B digital marketplace for diamonds and jewelry, connecting suppliers and buyers worldwide. The platform aggregates inventory from manufacturers and wholesalers, offering real-time pricing, secure payments, and global logistics. Headquartered in London with offices in India, Israel, and the U.S., it serves retailers and e-commerce businesses seeking transparent sourcing and efficient fulfillment without holding physical inventory.
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