Job Responsibilities
- Collaborate with business partners, finance, and domain experts to understand business problems and develop new strategies.
- Consult on experimental design and data collection, ensuring compliance with GDPR regulations and best practices in data handling and storage.
- Interpret and present findings to stakeholders and senior management in a clear, logical, and persuasive manner, using effective visualizations.
- Perform ad hoc analysis to provide actionable insights on product performance, customer behavior, and market trends.
- Collaborate with data engineers, machine learning engineers and dashboard developers to automate and optimize business processes.
- Identify unexplored opportunities to change how we do business using data.
- Lead innovation projects to drive advanced analytics.
- Maintain a rigorous control environment to ensure accurate and timely results, with a strong emphasis on compliance with GDPR regulations.
Required Qualifications, Capabilities, and Skills
- 5+ years of experience in applying statistical methods to real-world problems.
- Experience with relational databases, optimizing SQL to pull and summarize large datasets, report creation, and ad-hoc analyses.
- Experience with business intelligence analytics and data preparation tools such as Alteryx, Tableau, Python, etc.
- Leverage expertise in big data and statistics to tackle open-ended business challenges, using predictive analytics and data modeling to support business growth and innovation.
- Bachelor's degree in a quantitative discipline (e.g., Data Science, Mathematics, Statistics, Physics, Engineering, Economics, Finance).
- Ability to understand business context and identify opportunities in data.
- Experience in a dynamic, agile environment within a geographically distributed team.
- Experience with web analytics tools (e.g., Google Analytics, Adobe).
- Highly organized with the ability to prioritize multiple tasks.
- Excellent communication skills and ability to build relationships with key stakeholders.
- Fluency in GDPR regulations and data handling practices, with a strong understanding of how to manage and store data appropriately within the EU.
Preferred Qualifications, Capabilities, and Skills
- Intellectual curiosity, strategic thinking, and ability to solve unstructured problems independently.
- Familiarity with machine learning.
- Experience in marketing analytics.