Data Analyst

About the role

The role owns the analytical foundation of the product and business operations, translating complex datasets into actionable metrics and executive-level visibility. The team works closely with product managers, data engineers, and software architects to define telemetry standards, build core reporting models, and drive data-informed decision-making.

Responsibilities

• Design and maintain scalable data models, tables, and dashboards in modern data warehouses using SQL and dbt
• Partner with product and engineering teams to define key performance indicators and instrument reliable event tracking across web and mobile platforms
• Perform deep-dive exploratory data analyses to identify user behavior patterns, growth bottlenecks, and product optimization opportunities
• Automate reporting pipelines and data quality alerts to ensure high fidelity and availability of core business metrics
• Translate complex analytical findings into clear, concise presentations and documentation for cross-functional stakeholders

Requirements

• 3–6 years of experience in data analysis, business intelligence, or analytics engineering within a technology environment
• Advanced SQL skills and hands-on experience with modern cloud data warehouses like Snowflake, BigQuery, or Databricks
• Proven track record of building and maintaining production-grade BI dashboards using tools such as Looker, Tableau, or Mode
• Experience with transformation tools like dbt and orchestration tools like Airflow or Prefect
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field

Skills

• Bonus: Experience writing Python for data analysis (pandas, NumPy) and familiarity with basic machine learning concepts