Senior Data Analyst

Nordic Knots; Stockholms kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

Nordic Knots is seeking a Senior Data Analyst to take ownership of our BI layer, data warehouse, and business logic, from data cleaning to actionable insights. You will work closely with Finance, Tech, Operations, Buying & Merchandising, and international teams to drive strategic decisions.

You will shape data models, elevate data quality, and explore AI-enabled analytics to unlock business value in a fast-growing direct-to-consumer brand. Stockholm-based with strong cross-border collaboration.

Qualifications

• 5+ years as a data analyst, BI developer, analytics engineer, or similar in data-rich commercial environments.
• Strong SQL experience and hands-on cloud data warehousing knowledge.
• Experience modeling data and building robust BI solutions.
• Ability to translate business questions into data structures and back.
• Interest or hands-on experience applying AI to analytics work.

Responsibilities

• Own the data warehouse and BI logic end-to-end, including data sources and quality checks.
• Develop and maintain data models and business logic for reporting.
• Profile data quality, identify root causes, and collaborate with owners in source systems.
• Collaborate with Finance, Tech, Operations, Buying & Merchandising, and commercial teams.
• Define and implement new metrics and definitions across systems.
• Lead complex analyses across assortment, pricing, demand, and profitability.

Skills

SQL & BI tooling

Data warehousing

Data modeling

Analytics engineering

Commercial acumen

AI & automation

Ownership & fast pace

Job description

Nordic Knots is building a global Scandinavian design house for the modern home. Starting with hand-crafted rugs, the brand has expanded rapidly into new home categories including textiles, curtains, and bedroom collections. As we scale across markets, channels, and product categories, the volume and complexity of our data is growing just as fast and we are looking for an entrepreneurial, business-minded Senior Data Analyst to join our team in Stockholm.

This is not a reporting only role. We need a builder and an owner: someone who understands the business behind the numbers, who is just as comfortable debugging a broken data model as explaining a margin development to the commercial team, and who is genuinely excited about what AI can do for how a company works with its data. You will be the person the organization trusts when asking "is this number right?" and the person who makes sure the answer is yes.

We are a small team, and that shapes the role in the best way: the scope is broad, you own your domain end to end, and you are close enough to the business to see your work turn into decisions fast.

The Role & What You'll Do

Working closely with Finance, Tech, Operations, Buying & Merchandising, and the commercial teams in the US, UK, and Sweden, you will take ownership of our business intelligence layer: the data warehouse, the business logic within it, and the quality of what comes out of it. You will also take a leading role in bringing AI into how we work with data.

Key Responsibilities:

• Business Intelligence Reporting Logic: Own the reporting logic and technical implementation behind our reporting, making sure the numbers our KPIs are built on are correct, consistent, and reliable. KPI definitions sit with our Finance team; you are the person who makes sure the data behind them holds up.
• Data Warehouse & Data Models: Maintain and develop our data warehouse and the business model logic within it, including new sources, structural changes, and the continuous updates that follow a fast-growing product and market portfolio.
• Data Quality & Root Causes: Profile and monitor our data quality, find the errors before the business does, and drive the work of tracing issues back to their root cause in our source systems together with the teams that own them.
• New Metrics & Definitions: Dig into potential new metrics, dimensions, and definitions together with Finance and the commercial teams, and build them into our systems so we can answer questions we have not been able to answer before.
• Complex Analysis: Support and lead more complex analysis projects across assortment, pricing, demand, channel performance, and profitability.
• AI Initiatives: Take part in and lead AI initiatives within the organization, from agentic analytics and automation to identifying and building the use cases with real business value.
• Data Accessibility: Make data more accessible across the organization through documentation, self-service, and enablement so that team members can answer their own questions with confidence, at the highest possible quality.
• End-to-End Ownership: As part of a small team, you own your area from groundwork to strategy including the hands-on parts, such as data cleaning and mapping and quick turnarounds on ad-hoc requests from the business.

Who You Are

Most importantly, you are commercially curious and quality-obsessed. You are not satisfied with a query that runs; you want a number that is right and a definition the business agrees on. You are pragmatic, take real ownership of your domain, and enjoy an environment where you can see the impact of your work quickly.

We believe you have:

• Analytics Background: 5+ years of experience as a data analyst, BI developer, analytics engineer, or similar. Ideally from retail, e-commerce, consumer goods, or another data-rich commercial environment.
• Technical Craft: Strong SQL and solid, hands-on experience with modern cloud data warehousing, data modelling, and BI tooling. You know how to build a data model that holds up over time.
• Commercial Understanding: A real grasp of how a consumer brand makes money and the ability to translate business questions into data structures and back again.
• Quality & Root-Cause Mindset: Structured, methodical, and persistent about data quality, with the communication skills to drive fixes in systems and processes you do not own yourself.
• AI Curiosity: Genuine interest and preferably hands-on experience in applying AI and automation to analytics work, with the judgement to tell a real use case from a demo.
• Entrepreneurial Drive: High agency, agility, and enthusiasm for a fast-paced environment where you wear multiple hats and build things that did not exist before you arrived.
• Hands-On Attitude: Comfort moving between strategic development and detailed, practical work. The person who designs the data model is also the person who gets it right in the details.

What The Role Offers

• Unusually broad scope for a single role, you will touch nearly every part of the business, and see the results of your work in decisions made the same week.
• The mandate to shape both our data platform and our AI agenda, rather than inheriting someone else's.
• High autonomy, close collaboration with the commercial and tech leadership team, and short distance from idea to implementation.
• An international, fast-paced environment with a passionate, collaborative team.

Nordic Knots

Nordic Knots was founded in 2016 by Liza Laserow, Fabian Berglund, and Felix Berglund. We are a fast-growing direct-to-consumer Scandinavian interior design brand with the USA as our major market.

Nordic Knots was born from a culture of thoughtful design that lasts beyond seasons and trends. Fusing function and aesthetics with a Scandinavian sensibility, we craft timeless textiles for the modern home. We believe that great textiles are foundational and can transform a house into a harmonious home - framing the most beautifully curated lives.

The head office as well as the flagship store is located at Birger Jarlsgatan in central Stockholm. We have a constantly growing team across Sweden, the USA, and the UK.

What We Offer

We are a driven team with high ambitions and an entrepreneurial, open-minded culture where new ideas and initiatives are encouraged. At Nordic Knots, everyone plays a meaningful role in contributing to our continued growth.

We value diversity and inclusion and welcome applicants who bring different perspectives, experiences, and ideas to our team.

Location

This position is based at our headquarters in Stockholm with close interaction with our US and UK teams.