Pragmatike
Job Description:
- Location: Fully remote, EU timezone (CET +/- 2hours)
- Start date: ASAP
- Languages: English is mandatory; French is a plus
- Our client: Cloud Computing / Distributed Systems / AI – European Saas
Objectives of this Role:
- Analyze and interpret market and user data to drive business decisions and improve product offerings.
- Develop and maintain robust data architecture for efficient data processing and analysis.
- Present data insights in a clear, actionable manner to stakeholders across the company.
- Understand and navigate the complexities of app marketing and related data restrictions.
- Support product development and commercial objectives by providing data-driven insights and recommendations.
Responsibilities:
- Design, implement, and manage backend data architecture to support analytics and reporting needs.
- Collect, process, and analyze large datasets to extract meaningful insights about user behavior, product performance and growth roadmaps.
- Create and maintain dashboards, reports, and visualizations to present data in an understandable and actionable way.
- Collaborate with product, business, engineering and management teams to align data initiatives with company goals.
- Stay up-to-date with the latest trends and best practices in data science, nalytics, and B2C app marketing and educate stakeholders on best practices.
- Ensure compliance with data privacy regulations and best practices in data handling.
- Augment the company with relevant Ai toolings to grow and scale with data insights.
Skills and Qualifications:
- 8+ years of proven working experience in data science, analytics, or a related field in tech/ cloud/ software domain.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with data visualization tools like Mixpanel, Domo or similar.
- Solid understanding of backend data architecture and database management.
- Ability to interpret complex data and present it in a clear, concise manner.
- Familiarity with data privacy regulations and best practices.
- Excellent problem-framing, problem solving and project management skills.
- Excellent communication skills with proficiency in English.
Preferred Qualifications:
- Experience in the B2C app companies, particularly with user data analysis.
- Commercial acumen and the ability to align data insights with business objectives.
- Understanding of app marketing strategies and associated data restrictions.
- Knowledge of machine learning techniques and their application in business contexts.
- Ability to work independently and collaboratively.
- Fluency in AI-powered toolings to optimize productivity and efficiency.
To apply for this job please visit www.careers-page.com.