PlayMe Studio

Analytics Engineer

PlayMe Studio

full-time

Posted on:

Location Type: Remote

Location: Ukraine

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Tech Stack

AirflowAmazon RedshiftBigQueryCloudETLPostgresPythonSQLTableau

About the role

  • Design, build, and maintain ETL/ELT pipelines across our data infrastructure (BigQuery, Redshift, PostgreSQL)
  • Develop and own dashboards and reports in Tableau to track key marketing and product metrics
  • Analyze user behavior, conversion funnels, cohorts, and channel performance to surface growth opportunities
  • Write complex SQL queries for data extraction, transformation, and ad hoc analysis across multiple database environments
  • Collaborate with marketing and product teams to define KPIs and translate business questions into data solutions
  • Ensure data quality, consistency, and reliability across our BI ecosystem
  • Support A/B testing and experimentation frameworks — from setup through statistical analysis and reporting
  • Contribute to improving data documentation, governance practices, and internal tooling.

Requirements

  • 3+ years of experience as a Data Analyst, Data Engineer, or similar role in a web marketing or product-analytics context
  • Strong, hands-on proficiency in SQL — comfortable writing complex queries across BigQuery, Redshift, and PostgreSQL
  • Practical experience building and maintaining ETL/ELT pipelines
  • Experience with Tableau for dashboard development and data visualization
  • Familiarity with cloud data warehouses (BigQuery and/or Redshift)
  • Solid grasp of web marketing and product metrics: conversions, funnels, cohorts, retention, attribution
  • Experience with A/B testing methodologies and basic statistical analysis Python for data processing and automation
  • Strong communication skills — able to present data findings clearly to both technical and non-technical stakeholders
  • Nice to Have: Experience with GA4, GTM, or similar web analytics tools; Familiarity with dbt, Airflow, or other modern data orchestration tools; Background working in performance marketing or growth teams; Experience with data modeling best practices (star schema, data marts, etc).
Benefits
  • 20 days of paid vacation
  • sick leaves
  • medical insurance
  • professional growth through internal and external courses and seminars
  • access to a corporate library
  • team buildings and various team activities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ETLELTSQLTableauA/B testingstatistical analysisdata processingdata modelingcloud data warehousesdata visualization
Soft Skills
communicationcollaborationanalytical thinkingproblem-solvingpresentation skills