Data Analyst

We're looking for a Data Analyst who will be responsible for structuring, analyzing, and visualizing our mobile app data ecosystem.
The ideal candidate will combine technical expertise with strong analytical skills to transform complex data into actionable insights.
Design and implement comprehensive data taxonomy systems to organize and categorize our mobile app data effectively.
Develop and maintain health monitoring systems for data quality assurance and anomaly detection.
Create and optimize denormalized data models to improve query performance and data accessibility.
  Build and maintain interactive dashboards and visualizations using Apache Superset Write and optimize complex SQL queries for ad-hoc analysis and reporting.
Create detailed documentation of data structures, taxonomies, and analytical processes.
Collaborate with external developers to specify requirements for custom Superset plugins Monitor data pipeline health using various AWS and Snowflake tools.
Private Health Insurance : Stay covered with our comprehensive health plan.
Meal & Transportation Allowance : Fuel your commute and appetite, stress-free!
Snacks & Cozy Office Vibes : Work in a chill space stocked with treats you’ll love.
Learning Stipend : Invest in yourself—we’ll cover part of your growth journey!
Advanced knowledge of Snowflake, including Snowpipe for data ingestion Experience with AWS services, particularly DynamoDB, Amazon Athena and Glue Crawlers.
  Proficiency in SQL and data modeling (DBT is a plus), especially denormalization techniques.
Hands-on experience with Apache Superset or similar BI tools.
Strong understanding of data quality monitoring and anomaly detection methods  Preferred Qualifications  Bachelor's degree in Computer Science, Data Science, Statistics, or related field.
3+ years of experience in data analytics, preferably in mobile app or gaming industries.
Experience with data taxonomy development and implementation.
Strong documentation skills and attention to detail.
Ability to communicate complex technical concepts to non-technical stakeholders.
Essential Soft Skills  Self-starter mentality with the ability to identify opportunities and initiate solutions without explicit direction.
Exceptional communication skills, with a demonstrated ability to ensure message clarity and verify understanding across diverse audiences.
Solution-oriented mindset with a "can-do" attitude toward challenging problems.
Ability to transform abstract requirements into concrete action plans.
Strong initiative in identifying and addressing data-related challenges proactively.
Excellent stakeholder management skills with the ability to bridge technical and business perspectives.