Product Analyst
9.0/10
Aviasales
$92,000 – $149,500 USD
Remote
mid
about 4 hours ago
analyticsproducttechSQLPythondata analyticsdata architectureA/B testing
AI Summary
The vacancy is well-structured with clear responsibilities and compensation, though some details could be improved.
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Description
What you'll do
- •Build product analytics from scratch: design event tracking, define how frontend and backend data should be connected, and contribute to the overall data architecture.
- •Work closely with engineers to define analytics requirements and validate data quality after implementation.
- •Partner with the data engineering team to design data marts and ensure data is accessible and usable for analysis.
- •Define key product metrics, build dashboards, and set up ongoing monitoring.
- •Analyze product usage and feature performance, prepare analytical reports, and uncover actionable insights.
- •Investigate current user and operational workflows to help the team make informed product decisions.
- •Partner with the product manager on prioritization and help shape analytical questions and hypotheses.
- •In the future, contribute to the setup and analysis of A/B tests.
Conditions
- •Work from anywhere in the world: no location restrictions, salary paid in USD, travel-loving culture.
- •No bureaucracy: efficient processes, horizontal and open communication, quick idea discussion and decision-making.
- •Benefits compensation: private medical insurance, psychotherapy or language courses, sports activities, and sick leave.
Requirements
- •3+ years of experience in data analytics or product analytics.
- •Experience designing event tracking and building analytics systems from scratch.
- •Strong understanding of how frontend and backend data connect, and how to design a reliable analytical data model.
- •Advanced SQL skills, including analytical functions, working with streaming data, and combining data from multiple sources.
- •Experience analyzing data with Python.
- •Solid understanding of mathematical statistics and the fundamentals of A/B testing.
- •Ability to visualize data clearly and build intuitive, actionable reporting.
- •High level of autonomy and proactivity, with the ability to work effectively in an environment where many processes are still being established.
- •Strong attention to data quality and a habit of validating and double-checking results.
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