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

Requirements

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

Benefits

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!

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