Senior Growth Data Scientist
Tilt
AWSPythonSQL
Analytics Engineer
Netlight
full-time
Posted on:
Location Type: Office
Location: Stockholm • 🇸🇪 Sweden
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
AWSPythonSQL
About the role
- Join cross-functional data team to develop and maintain Netlight's business-critical data platform
- Build and maintain robust, well-documented data models using Snowflake and dbt
- Transform raw data into clean, usable datasets for analytics and business intelligence
- Collaborate with stakeholders to define and maintain a single source of truth for key metrics
- Ensure data quality and consistency across teams and tools
- Provide compliant, user-friendly access to data across tools (e.g. Power BI, Excel)
- Empower users of all technical levels to find, understand, and securely access data
- Manage the data access lifecycle for efficiency and security
- Continuously evaluate and improve data models for performance and scalability
- Contribute to agile planning, refinement, and delivery cycles and foundation of internal product development
Requirements
- Location: Based in Stockholm
- A degree in a quantitative field (e.g. software engineering, computer science, economics, mathematics, statistics)
- At least 2+ years of relevant experience in Analytics Engineering, Data Engineering, Data Analytics, Data Science, or Software Development
- Strong SQL skills and experience working with data warehouses
- Familiarity with scripting languages (e.g. Python, R, Matlab)
- Understanding of version control, ideally Git
- Bonus: Experience with Snowflake, dbt, AWS
- Fluent in written and spoken English (business level)
- Service-minded and communicative team player; self-driven and proactive
Benefits
- Every employee gets a mentor, delivery coach and personal communities
- Strong focus on personal and professional development
- Fun and social gatherings
- Extensive knowledge sharing
- Social events
- Spectacular conferences twice a year
- Young environment with flat structure
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata modelingdata transformationanalytics engineeringdata engineeringdata analyticsdata sciencescripting languagesversion controlagile methodologies
Soft skills
service-mindedcommunicativeteam playerself-drivenproactive
