Pragmatike
Senior Data Analyst B2C
Job Description
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:
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Analyze and interpret market and user data to drive business decisions and improve product offerings.
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Develop and maintain robust data architecture for efficient data processing and analysis.
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Present data insights in a clear, actionable manner to stakeholders across the company.
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Understand and navigate the complexities of app marketing and related data restrictions.
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Support product development and commercial objectives by providing data-driven insights and recommendations.
Responsibilities:
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Design, implement, and manage backend data architecture to support analytics and reporting needs.
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Collect, process, and analyze large datasets to extract meaningful insights about user behavior, product performance and growth roadmaps.
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Create and maintain dashboards, reports, and visualizations to present data in an understandable and actionable way.
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Collaborate with product, business, engineering and management teams to align data initiatives with company goals.
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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.
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Ensure compliance with data privacy regulations and best practices in data handling.
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Augment the company with relevant Ai toolings to grow and scale with data insights.
Skills and Qualifications:
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8+ years of proven working experience in data science, analytics, or a related field in tech/ cloud/ software domain.
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Proficiency in programming languages such as Python, R, or SQL.
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Experience with data visualization tools like Mixpanel, Domo or similar.
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Solid understanding of backend data architecture and database management.
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Ability to interpret complex data and present it in a clear, concise manner.
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Familiarity with data privacy regulations and best practices.
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Excellent problem-framing, problem solving and project management skills.
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Excellent communication skills with proficiency in English.
Preferred Qualifications:
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Experience in the B2C app companies, particularly with user data analysis.
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Commercial acumen and the ability to align data insights with business objectives.
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Understanding of app marketing strategies and associated data restrictions.
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Knowledge of machine learning techniques and their application in business contexts.
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Ability to work independently and collaboratively.
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Fluency in AI-powered toolings to optimize productivity and efficiency.