Data Analyst

Job Overview

We are seeking a data analytics professional to join our Data & Marketing Tech Team, to help improve measurement, analysis, and decision-making across complex data environments. This role combines data analysis, data research, and applied AI automation to work with multiple data sources, investigate business questions, and support reliable, scalable analytical workflows.

Reports to

• Team Lead of Data & Marketing Technology

What will you do?

• Analyze data to answer business questions, identify patterns, and generate actionable insights
• Research data across complex systems with multiple internal and external sources, understanding data flows, dependencies, and limitations
• Support experiment measurement and analysis, including A/B tests, incrementality studies, and creative testing
• Partner with marketing, product, and engineering on tracking requirements, measurement plans, and documentation
• Design AI-powered automations for insight generation, anomaly detection, data validation, and analytical workflows
• Help maintain data pipelines/semantic layers; ensure metric definitions and transformation logic are clean and well-documented

What are we looking for?

• Educated in Computer Science, Mathematics, Physics, or a similar field
• Hands-on experience with data analysis and automation (SQL + Python, BI tools, workflow automation)
• Proactive mindset and eagerness to grow practical AI skills (ML fundamentals, LLM tooling, data quality automation)
• Experience operationalizing LLM workflows (prompting, evaluation, guardrails) for analytics use cases
• Responsible, self-driven approach with the ability to take ownership of tasks and communicate proactively

What additional skills will help you stand out?

• Experience with warehouses (BigQuery/Snowflake), dbt, Airflow, or similar
• Experience with product, marketing, or user behavior analytics, including funnels, cohorts, retention, attribution, LTV, experimentation, or similar measurement topics
• Familiarity with mobile attribution, analytics, or measurement platforms, as well as working with multi-source data integration
• Experience with predictive modeling techniques (e.g., regression/classification, time-series forecasting, uplift/propensity modeling) and model evaluation

Work mode

• Hybrid (2-3 days of work from the office)
• This role is eligible for relocation & immigration support.