Fresha

Analytics Engineer

Fresha
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almost 2 years ago
Warsaw, PolandMid Level

Responsibilities

  • Develop, test, and maintain dimensional data models from diverse data sources.
  • Improve data model performance, usability, accessibility, runtime, and efficiency.
  • Build and maintain high-quality internal and external data products.
  • Advise product development on analytical requirements and incorporate feature-release changes into the data warehouse.
  • Analyze product feature performance and support product operations using analytical queries and dashboards.
  • Create comprehensive data documentation and collaborate with product, engineering, analytics, and commercial stakeholders.

Requirements

  • Expert knowledge of SQL.
  • Experience building and testing high-quality data modeling pipelines.
  • Understanding of data platform and data warehousing concepts.
  • Familiarity with modern data stack components, with dbt required.
  • Interest in improving the performance and efficiency of data models and systems.
  • English communication skills at C1 level or higher.
  • Ability to contribute to product decisions through data architecture best practices and analytical insights.
  • Creative, proactive, autonomous problem-solving approach.
  • Responsible proficiency with AI tools.
  • Good Polish language skills are a bonus.
  • Experience driving product decisions, owning features, writing ELT pipelines with SQL and Python, or working in fast-paced companies is advantageous.
  • Experience with fine-tuning and controlling AI tools is a bonus.

Benefits

  • Warsaw, Poland location with five days onsite per week.
  • B2B contract with 16,000–22,000 PLN net per month plus RSUs.
  • UoP employment option with 12,800–17,600 PLN gross per month plus RSUs.

Tech Stack

Apache AirflowdbtMetabasePythonSnowflakeSQL

Categories

Data Engineering
Fresha

About Fresha

501-1,000 employees

Fresha builds a marketplace and SaaS platform for beauty and wellness businesses—salons, barbers, and spas—to manage bookings, POS, CRM, inventory, and payments, while enabling consumers to discover, book, and pay. It runs a subscription‑free model that monetizes through integrated payments and marketplace transactions. Founded in 2015 and headquartered in London, the company reports over 1 billion appointments processed across global markets.

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