Description de l’emploi

Full job description

NSNL is building data-driven products and decisions through strong analytics, reliable data pipelines, and practical experimentation. As a Data Intern, you will help turn raw data into insights that teams can act on.

What you will do

• Support data collection, cleaning, and preparation for analysis
• Build dashboards and recurring reports for product, operations, or growth teams
• Write SQL queries to extract and transform data from internal sources
• Analyze user or business performance trends and present findings clearly
• Help improve data quality (validation checks, documentation, consistent definitions)
• Assist with basic automation (Python notebooks, scheduled queries, lightweight ETL tasks)
• Contribute to experimentation and measurement (KPIs, cohorts, funnels, A/B analysis where relevant)

What we are looking for

• Student in a quantitative field (Data Science, Computer Science, Statistics, Economics, Engineering, Business Analytics, or similar)
• Comfortable with SQL (joins, aggregations, basic window functions is a plus)
• Familiar with Python for analysis (pandas, notebooks) or strong motivation to learn fast
• Solid analytical thinking and attention to detail
• Clear communicator who can explain results to non-technical stakeholders
• Bonus: experience with BI tools (Power BI, Tableau, Looker, Metabase), Git, dbt, cloud data warehouses

What you will learn

• How to work with real production datasets and business constraints
• Practical analytics workflows: definitions, KPI design, dashboards, stakeholder reporting
• How data pipelines and modern analytics stacks work in a real team
• How to translate questions into metrics and decisions

Work Location: In person