At a Glance
- Tasks: Analyse data to optimise supply chain and logistics for speed and cost-effectiveness.
- Company: Join Nivoda, a rapidly growing marketplace in the global jewellery industry.
- Benefits: Enjoy flexible hours, remote work, unlimited holiday, and growth opportunities.
- Other info: Be part of an innovative team during an exciting phase of expansion.
- Why this job: Make a real impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: 3+ years as a Data Analyst with strong SQL skills and a passion for logistics.
The predicted salary is between 40000 - 50000 £ per year.
About Nivoda
Nivoda’s growth trajectory has skyrocketed over the past 12 months, and we continue to expand across new regions at an unprecedented pace. Our DNA centers on understanding our customers' needs and offering them a seamless experience. With a growing team based in major cities worldwide, including London, New York, Hong Kong, and Mumbai, Nivoda is becoming the go-to marketplace for the global jewelry industry. We are bold, innovative, and relentless in our pursuit of excellence as we transform an industry steeped in tradition.
About the Role
Nivoda is looking for a talented Data Analyst to join our Global Fulfillment Team. In this role, you will be the primary analytical partner for our Fulfillment Department, ensuring that our supply chain, logistics, and delivery operations are optimized for speed, cost-effectiveness, and reliability. You will bridge the gap between complex logistical data and actionable business strategy. The ideal candidate is a SQL expert who enjoys digging into messy data to find the "why" behind the numbers and who knows how to leverage modern AI tools to work faster and smarter. You will play a key role in monitoring fulfilment performance, identifying issues, and enabling the team to move faster with data.
What You'll Do
- Operational Optimization: Analyze fulfilment workflows to identify bottlenecks across the supply chain and propose data-backed solutions to improve delivery speed, cost efficiency, and reliability.
- Reporting & Dashboards: Design, build, and maintain automated dashboards tracking key fulfillment KPIs, including shipping costs, transit times, SLA adherence, and hub performance. Ensure data is accurate, accessible, and actionable for stakeholders.
- SQL & Data Analysis: Independently write and own complex SQL queries to extract, transform, and analyze large fulfilment datasets. Translate business questions into structured queries, build reusable data models, and ensure consistent KPI definitions across reporting.
- Insights & Decision Support: Go beyond reporting to proactively identify trends, anomalies, and opportunities within fulfilment data. Generate clear, actionable insights and recommendations that drive operational and strategic decision-making.
- Cross-Functional Collaboration: Partner closely with Operations, Logistics, Product, and Data teams to understand pain points, support decision-making, and provide analytical input into key strategic initiatives.
- Data Modeling: Work with Data Engineers to ensure fulfillment data is clean, well-structured, and scalable within the data warehouse, supporting long-term analytics and reporting needs.
- Quality Assurance: Monitor data integrity across fulfilment systems, proactively identifying and resolving discrepancies to maintain trust in reporting and operational metrics.
- Performance Monitoring: Track key fulfilment KPIs on an ongoing basis, proactively flagging issues, anomalies, and performance deviations. Investigate root causes using data and support continuous monitoring of courier performance, batching efficiency, and delivery speed to ensure consistent operational reliability.
- Leverage AI Tools: Use AI tools to accelerate analysis, automate repetitive tasks and draft written outputs. We expect this person to be a practitioner of AI-assisted work, not just someone who is curious about it.
What You'll Need
Required Qualifications:
- Experience: 3+ years of experience in a Data Analyst or Business Analyst role
- Advanced SQL: Strong proficiency writing complex, performant queries. Comfortable with joins, aggregations, window functions, and working with large datasets independently
- Analytical Rigor: Proven ability to translate raw data into clear insights and recommendations that influence business decisions
- Problem Solving: Ability to investigate ambiguous problems, identify root causes, and structure data-driven solutions
- Domain Interest: Interest in logistics, e-commerce, marketplaces, or supply chain operations
Highly Desirable:
- Modern Data Stack: Experience working with cloud data warehouses such as Snowflake or BigQuery
- Data Transformation: Exposure to tools like dbt or experience structuring reusable datasets/models
- Visualization Tools: Experience building dashboards in Looker, Tableau, or Power BI
What We Offer
- Flexible working hours and a vibrant company culture
- Remote work
- Plenty of opportunities for growth and learning
- Unlimited holiday allowance
- Chance to join and contribute to a company during its exponential expansion phase
Nivoda is proud to be an equal opportunity workplace dedicated to promoting diversity. We don’t discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Even if it seems you don't meet 100% of our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable.
Please note: Our Talent Acquisition Team is international coming from across the world. We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly. This is a full time, permanent position that's remote within Europe. Unfortunately, we are unable to offer sponsorship at this time.
If after reading this job description you believe this is not the best fit for you, we’d encourage you to join our Talent Pool so we can keep you in mind as new roles open up.
Data Analyst (Fulfilment) in Amsterdam employer: Nivoda
Nivoda is an exceptional employer that fosters a vibrant and flexible work culture, allowing employees to thrive in a remote environment while contributing to the rapid growth of the global jewelry marketplace. With unlimited holiday allowance and ample opportunities for professional development, team members are empowered to innovate and make impactful decisions, all while collaborating with diverse colleagues across major cities worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Fulfilment) in Amsterdam
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Nivoda. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by diving deep into Nivoda's mission and values. Show us how your skills align with our goals, especially in data analysis and operational optimisation.
✨Tip Number 3
Practice your SQL skills! Be ready to discuss complex queries and how you've used data to solve real-world problems. We love candidates who can demonstrate their analytical prowess.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Analyst (Fulfilment) in Amsterdam
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Analyst role. Highlight your SQL expertise and any relevant projects you've worked on, especially those involving logistics or supply chain.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data analysis and how you can contribute to Nivoda's mission. Share specific examples of how you've used data to drive decisions in previous roles.
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Include examples of complex SQL queries you've written or dashboards you've built that had a real impact on business outcomes.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Nivoda
✨Know Your SQL Inside Out
As a Data Analyst, your SQL skills are crucial. Brush up on complex queries, joins, and aggregations. Be ready to discuss specific examples of how you've used SQL to solve problems or derive insights from data.
✨Showcase Your Analytical Mindset
Prepare to demonstrate your ability to turn raw data into actionable insights. Think of a few scenarios where you identified trends or anomalies in data and how those findings influenced business decisions. This will show your analytical rigor.
✨Familiarise Yourself with AI Tools
Since leveraging AI tools is part of the role, be prepared to discuss any experience you have with them. If you’ve used AI for data analysis or automation, share those experiences and how they improved your workflow.
✨Understand the Fulfilment Landscape
Research the logistics and supply chain industry, especially as it relates to e-commerce. Being able to speak knowledgeably about current trends and challenges in fulfilment will set you apart and show your genuine interest in the domain.
