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Senior Data Analyst B2C

3 months ago

Stockholm, Sweden PRAGMATIKE Full time

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.