Data Analyst
Stockholm, Sweden
Scrive
Streamline online contracts with electronic signatures. Manage documents online from anywhere, on any device. Try Scrive for free!We Care, We Challenge, We Commit, We Collaborate
Join Scrive and be part of an international, fast-growing company headquartered in Stockholm, Sweden. Collaborate with smart, caring, and driven colleagues across Europe as we shape the Scrive story. đ
The opportunity
Weâre now expanding our Data & Analytics capabilities and are looking for a versatile Data Analyst to join our small but impactful team. In this role, youâll take the lead in modernizing our reporting infrastructure, enhancing data pipelines, and acting as a critical link between data and the rest of the organization.
Youâll work closely with stakeholders across Revenue, Product, Finance, Development, and more, with the shared goal of unlocking smarter decision-making through data. This is a hands-on role where youâll help shape our tools, processes, and the way we work with dataâwhile ensuring accuracy, clarity, and accessibility every step of the way.
The role can be based fully remote anywhere in EU, or hybrid/onsite at any our offices (Stockholm, Copenhagen, Amsterdam, Berlin, Oslo or Brno). You will report to the Director of R&D.
What you will do
Drive the migration of data reporting from Count to Python-based Streamlit applications
Maintain, improve, and troubleshoot existing reports during the transition period
Collaborate closely with stakeholders to understand business needs and define data requirements
Build and maintain a list of team-supported reports with clear ownership and expectations
Support better product tracking by implementing and promoting data contracts
Proactively identify data collection opportunities and work with developers to capture the right events
Refactor and document datasets to improve reliability, consistency, and usability
What weâre looking for
To thrive in this role, youâre a problem-solver who enjoys building sustainable, scalable data solutions and translating data into insights that matter. You are structured, communicative, and curious.
We expect you to bring:
3+ years of experience in data analysis, engineering, or a related field
Proficiency with SQL and data modeling concepts
Strong Python programming skills, particularly with data manipulation libraries (Pandas)
Experience with interactive dashboard development (Streamlit experience is a plus)
Ability to translate business questions into data requirements
Excellent communication skills with the ability to explain complex data concepts to non-technical audiences
Self-motivated with a proactive approach to identifying data opportunities
EU Residency or work permit
đ Bonus points if you have:
- Background in data governance or data quality initiatives
- Experience with managing a Data pipeline
- Possibility to work hybrid/on-site at any of our offices
- Knowledge of best practices in data documentation and metadata management
- experience with Software development in a team (releases, deployment, versioning, reviews)
- Feeling for User Experience
- Experience with GitHub Actions, CI/CD
Our Tech Stack
Data Warehousing: Snowflake
BI Tools: Count.co, Tableau
Data Processing: DuckDB, dbt
Workflow Orchestration: Prefect
Collaboration: Jira, Confluence, Git, G Suite
Donât meet every single requirement? Apply anyway! Studies show that women and people from underrepresented groups are less likely to apply for jobs unless they meet every qualification. At Scrive, we value diverse perspectives and encourage anyone who is excited about this role to apply.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: CI/CD Confluence Data analysis Data governance Data pipelines Data quality Data Warehousing dbt Engineering Finance Git GitHub Jira Pandas Pipelines Python R R&D Snowflake SQL Streamlit Tableau
Perks/benefits: Team events
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