We are on the lookout for a Data Analyst to join our team. In this role, you will be instrumental in guiding our marketing strategies, product development, and monetization through data-driven insights. As a core member of our analytics team, your expertise in extracting, manipulating, and analyzing extensive datasets will be key to driving company-wide growth and efficiency.
Key Responsibilities:
Analyze and manipulate extensive datasets related to marketing, in-app events, products, and monetization to derive actionable insights.
Partner with various departments, such as marketing, product management, finance, and data engineering, to synchronize objectives, share insights, and promote collaborative projects.
Create and sustain dashboards and reports for key performance metric tracking.
Execute A/B testing, cohort analysis, and segmentation to enhance user acquisition, product development, and monetization.
Work on external machine learning collaborations to boost data capabilities and employ advanced analytical methods, fostering user engagement and business growth.
Required Skills and Experience:
Expertise in data analysis tools and programming languages, like SQL and Python.
Minimum of 5 years in data analyst roles, preferably in the B2C app or mobile gaming sectors.
Proficient with data visualization tools such as Looker or Tableau, and adept at crafting intuitive dashboards and reports.
Strong analytical skills to interpret complex data sets and convey findings effectively to non-technical stakeholders.
Excellent communication skills for presenting insights and collaborating with non-technical team members.
Robust problem-solving abilities and proficiency in troubleshooting technical issues.
Experience with mobile analytics platforms (e.g., Adjust, Firebase) for accurate measurement of user acquisition and engagement.
Deep understanding of and passion for the mobile app and gaming industries, including market trends and player behaviour.
Preferred Qualifications:
Knowledge of statistical analysis and modelling techniques for advanced data analysis and deeper user behaviour insights.
Familiarity with user attribution methods across different platforms.
Karrierestufe
Management
Beschäftigungsverhältnis
Vollzeit
Tätigkeitsbereich
IT
Branchen
Technologie, Information und Medien
Mit einer Empfehlung lassen sich Ihre Chancen auf ein Vorstellungsgespräch bei THRYVE verdoppeln.