Data Analyst - Stockholm
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Northzone is seeking a hands-on Data Analyst based in Stockholm to own and develop our internal analytics stack, working closely with our operations and investment teams. This role is ideal for someone who enjoys rolling up their sleeves, make sense out of unstructured data and build systems that make others more effective.
You'll be the connective tissue between our data, tools, and people—turning raw data into practical insights that enhance portfolio tracking, deal sourcing, and internal decision-making. You'll also help shape our internal data workflows, tooling stack, and light BI infrastructure.
We're not building complex machine learning models, but we are building thoughtful, reliable internal data systems - and we'd love your help.
What You'll Do
Portfolio Data & BI Foundations
This role is not for someone seeking cutting-edge ML work or a highly structured corporate analytics team. Instead, you should be someone who:
You'll be the connective tissue between our data, tools, and people—turning raw data into practical insights that enhance portfolio tracking, deal sourcing, and internal decision-making. You'll also help shape our internal data workflows, tooling stack, and light BI infrastructure.
We're not building complex machine learning models, but we are building thoughtful, reliable internal data systems - and we'd love your help.
What You'll Do
Portfolio Data & BI Foundations
- Structure and manage key internal datasets related to portfolio performance, financials, and operational KPIs
- Build dashboards and reports that help us track what matters across companies, sectors, and time
- Benchmark portfolio metrics against market data (via tools like Affinity, Standard Metrics, or others)
- Help evaluate, implement, and improve data tooling (Snowflake, Looker, Sigma, Affinity integrations, etc.)
- Act as the internal owner for our data flows—identify gaps, fix breakages, and communicate clearly with stakeholders.
- Support research efforts on sectors, markets, and emerging technologies - e.g., tracking valuations or sector trends over time
- Assist with ad hoc projects using external datasets (Crunchbase, PitchBook, etc.)
- Prepare simple, clear visualizations and summaries for internal decks or LP updates.
This role is not for someone seeking cutting-edge ML work or a highly structured corporate analytics team. Instead, you should be someone who:
- Has 1-3 years of relevant experience in data analytics, business intelligence, or adjacent roles (startups, ops, FP&A, venture platform, research, or consulting)
- Is comfortable working solo on data problems, but knows when to ask questions or bring in help
- Can, outside of analyzing data, build a story around it, including using visualization tools to make data insightful and accessible
- Has solid experience with Excel and ideally BI tools (Looker, Tableau, Sigma, etc.). Bonus: familiarity with Python, SQL or light scripting
- Has a strong sense of internal "product ownership"—you care about whether people actually use what you build
- Is curious, pragmatic, and good at simplifying—not over-engineering
- Can be trusted to interface with both junior and senior stakeholders, and explain technical things clearly
- May not have VC experience (that's okay!), but is interested in startups, tech, or long-term investing.
- You like simple, clear data and value clean dashboards over endless dashboards
- You want a role with impact, ownership, and stability
- You might have worked at a startup or small team, where you wore multiple hats and had to figure things out yourself
- You want to own something end-to-end—from sourcing data to seeing decisions being made with it
- You're a builder, you're happy to fix a bug, standardize a field name, or push a Slack update if it helps someone else
- You want to work with one of the best team in Venture!
- 25-day holidays
- Generous parental leave
- Private health insurance
- Several off-sites with the team each year
- Wellness budget
Post Date
2025-06-13
Job Type
-
Employment type
Full-time
Category
Analyst
Level
Entry
Country
Sweden
Industry
IT ServicesIT Consulting ,
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