Junior Looker Analytics Engineer

Preply

United States

On-site

USD 65,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Learning & Development budget
Health insurance
Equity/bonus
Monthly lesson allowance

Job summary

Preply is seeking a Junior Analytics Engineer to own Looker, ensure clean data governance, and empower teams across Product, Growth, Finance, Engineering, and AI to leverage data confidently. This hands-on role combines analytics engineering, governance, and documentation from day one.

The ideal candidate will have SQL skills, an analytical mindset, and a passion for turning data into actionable insights, with experience using Looker and a comfort with AI tools to boost productivity.

Qualifications

  • Working knowledge of SQL and confidence querying and exploring data.
  • An analytical mindset with ability to interpret what data means beyond retrieval.
  • Strong attention to detail and drive to make data organized, reliable, and discoverable.
  • Comfortable using AI tools to improve productivity and learning.
  • English proficiency at B2 level or above.

Responsibilities

  • Own Looker licensing – manage license granting, stay up-to-date with upgrades, revoke unused licenses.
  • Classify and organize Looker artifacts – establish governance and reflect it across Looker.
  • Create and maintain documentation – produce technical docs, user guides, onboarding materials for data teams.
  • Support continuous improvement – identify opportunities, propose improvements, and pilot lightweight innovations.
  • Partner with stakeholders across the business – be the go-to person for Looker, helping teams find and use data effectively.

Skills

SQL
Analytical mindset
Attention to detail
English proficiency (B2)

Tools

Looker

Job description

Preply is seeking a Junior Analytics Engineer to own Looker, ensure clean data governance, and empower teams across Product, Growth, Finance, Engineering, and AI to leverage data confidently. This hands-on role combines analytics engineering, governance, and documentation from day one.

The ideal candidate will have SQL skills, an analytical mindset, and a passion for turning data into actionable insights, with experience using Looker and a comfort with AI tools to boost productivity.

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