Job Title: Data Analyst

Location: Not specified

Type: Full-time

Role Overview:

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.