What you’ll do:
- Design, build, and maintain analytics tools, dashboards, and reports that deliver actionable insights to stakeholders
- Ensure solutions are scalable, fast, and reliable, updating them as business needs or data sources evolve
- Build, automate, and optimize data pipelines that integrate multiple sources into analytics platforms
- Ensure smooth end-to-end data flow — from raw input to dashboards — with high data quality and integrity
- Conduct deep-dive analyses to uncover trends, patterns, and actionable opportunities
- Apply statistical or machine learning methods when appropriate to generate insights and guide decision-making
- Partner with cross-functional teams to understand business challenges and deliver tailored data solutions
- Provide analytics support to both internal teams and external clients using our marketing services
What you need to succeed:
- 2+ years of hands-on experience using Python in production environments, ideally within large, complex codebases
- Solid understanding of core statistical concepts — basic distributions, their properties, and statistical tests
- Strong communication skills and a proactive mindset — you're comfortable working across teams and driving solutions
- Bachelor's degree (or higher) in Computer Science, Mathematics, Statistics, Data Science, or a related field
Nice to have:
- Experience in marketing analytics