Назад
8 часов назад

Product Data Analyst (SaaS)

48 000 - 72 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Страна
Lithuania
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Описание вакансии

TL;DR
Product Data Analyst (SaaS): Designing and evaluating experiments, analyzing product usage and user behavior, and defining product metrics with an accent on A/B testing, event tracking, and feature performance. Focus on identifying growth opportunities, measuring user adoption, and delivering data-driven recommendations for product decisions.

Product Data Analyst

Company

Sintra AI

Conditions

4 days agoSeniorSalary: 48K - 72KVilnius, Lithuania Hybrid Full Time Data Science Jobs by Sintra AI

Skills

A/B Testing Bigquery Data Analysis Dbt Event Tracking Experimentation Feature Performance Growthbook Lightdash Mixpanel Product Analytics Product Metrics Python Sql User Adoption User Behavior

Candidate Availability

Vilnius · Required Hybrid · Required Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You partner with Product teams to design and evaluate experiments, analyze product usage and user behavior, identify growth opportunities, define product metrics, ensure accurate event tracking, assess feature performance and adoption, and deliver actionable recommendations for strategic decisions.

Requirements

  • 4+ years of experience as a Product Data Analyst, Product Analyst, or similar
  • Experience in a SaaS environment
  • Strong SQL skills
  • Experience with DBT
  • Experience using Python for analytics and automation
  • Understanding of experimentation and A/B testing methodologies
  • Strong analytical thinking and problem-solving skills
  • Ability to communicate insights to technical and non-technical stakeholders

Responsibilities

  • Design, execute, and evaluate A/B tests
  • Analyze product usage data and user behavior
  • Identify product growth opportunities
  • Support the product development lifecycle through analytics
  • Define and maintain product metrics
  • Ensure accurate event tracking and data collection
  • Analyze feature performance and user adoption
  • Partner with Product teams on strategic decisions
  • Deliver recommendations based on data insights
  • Build an experimentation culture

Benefits

  • Hybrid work model
  • Daily team lunch prepared by in-house chefs
  • Stock options
  • MacBook
  • Equity package
  • Flexible working model
  • Private health insurance
  • Workout sessions with a personal trainer
  • Daily office-provided lunch

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