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Описание вакансии
Senior Data Analyst and Analytics Engineer
Company
TYB
Conditions
4 days ago
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will turn product and business data into clear, decision-ready insights. You will build dashboards, conduct ad-hoc analyses, design and evaluate experiments, maintain dbt models in Redshift, define trusted metrics, and improve self-serve analytics. You will partner on event tracking and analytics strategy across product, engineering, customer success, and data science.
Requirements
- 5+ years of experience as a data analyst, product analyst, or analytics engineer
- Advanced SQL skills
- Experience with a cloud data warehouse such as Redshift, Snowflake, BigQuery, or Databricks
- Experience building and maintaining dbt data models, including tests and documentation
- Knowledge of statistics and experiment design
- Experience running A/B tests end-to-end
- Experience with product analytics tools such as Amplitude or Mixpanel
- Experience with BI or notebook tools such as Hex, Mode, or Looker
- Working proficiency in Python for analysis
- Ability to prioritize competing requests in a 0-1 environment
- Ability to communicate recommendations to product, engineering, and business stakeholders
Responsibilities
- Build and maintain dashboards in Hex and Amplitude for consumer behavior, app performance, brand-partner outcomes, and business metrics
- Field ad-hoc analysis requests and deliver clear, decision-ready answers
- Design, launch, and analyze A/B tests and feature experiments
- Run surveys and statistical analyses of customer behavior, including funnels, cohorts, retention, and engagement
- Build and maintain tested and documented dbt models in Redshift
- Define and document core metrics
- Partner on Amplitude event tracking and feature instrumentation
- Develop an end-to-end understanding of the product so analytics reflects product behavior
- Plan and review analytics strategy with the data science team
- Enable self-serve analytics for non-technical teammates
Benefits
- Remote work
- Optional offices in San Francisco
- Flexible time off
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