Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
A/B Testing @ 3
Communication @ 6
Data Science @ 3
Experimentation @ 3
Mathematics @ 3
Python @ 6
R @ 6
SQL @ 6
Snowflake @ 3
Statistics @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
We’re looking for a Data Analyst who enjoys turning data into clear insights that drive product and business decisions. You will work closely with Product, Engineering, Operations, and Data Science to understand customer behavior, measure product performance, and enable data-driven decisions.
Responsibilities
- Build reliable datasets, dashboards, and reports.
- Analyze product performance and customer behavior.
- Apply statistical techniques to answer business questions.
- Partner with stakeholders to translate business needs into analytical solutions.
- Communicate insights through clear visualizations and presentations.
- Ensure data quality and contribute to scalable analytics solutions.
Requirements
- Master’s degree (or higher) in Statistics, Econometrics, Computer Science, Mathematics, or a related quantitative field.
- Strong SQL skills and proficiency in Python or R.
- Experience with Snowflake and PySpark.
- Good understanding of statistics and analytical methods.
- Preferred: Knowledge of causal inference, experimentation, and A/B testing methodologies.
- Experience building dashboards and communicating insights.
- Strong communication and stakeholder management skills.
- Ability to work independently and prioritize effectively.
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