Senior Analytics Engineer (Warsaw)

Fresha

Warszawa

Hybrid

PLN 143,000 - 196,000

Full time

3 days ago
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Job summary

Fresha is seeking a Senior Analytics Engineer in Warsaw, Poland, to model and optimize data across our global platform. You will collaborate with product, engineers, analysts and leadership to transform data into reliable insights that power decisions and product development.

You will build scalable data models, maintain high-quality data products, and improve performance while working in a fast-paced, autonomous environment. This role offers B2B and UoP options with RSUs.

Qualifications

  • Expert knowledge of SQL.

Responsibilities

  • Develop, test, and maintain robust dimensional data models from diverse data sources.
  • Enhance the efficiency and performance of data models, focusing on accessibility and runtimes.
  • Build and maintain high quality data products, internal and external.
  • Advise product development on analytical requirements with new feature releases; ensure data warehouse adapts.
  • Analyze feature performance and support product operations via analytics queries and dashboards.
  • Develop comprehensive data documentation to maintain consistency across the team.

Skills

SQL
Data modelling
Data warehousing
dbt
Performance tuning
English (C1)
Product analytics
Responsible AI tools

Tools

Fivetran
Airflow
Snowflake
Plotly
Starrocks
Metabase
Python

Job description

About Fresha

Fresha is the leading AI-powered operating system for the global beauty and wellness industry, giving businesses everything they need to run smarter, grow faster and build stronger client relationships.

In May 2026, Fresha secured an $80M growth investment from KKR at a valuation of $1B, officially reaching unicorn status and bringing total funding raised to $285M. Already profitable, Fresha is using this investment to accelerate global expansion and drive the next generation of AI and product innovation.

Today, Fresha operates at global scale, with offices across Europe, North America, the Middle East and Asia Pacific. Our platform is trusted by 130,000+ beauty and wellness businesses across 120 countries, with more than 1.5 billion appointments booked to date.

Our mission is simple: help beauty and wellness businesses grow by giving them the technology they need to attract clients, manage their operations and run their business in one place.

We’re continuing to scale rapidly across markets, teams and products, making this an exciting time to join us.

Role overview

Senior Analytics Engineer | 11th floor, Rondo 1, 00-124 Warsaw | Four days in office, Wednesdays remote


Contract: B2B · 16–22k PLN net /month + RSUs
UoP: 12,800 - 17,600 PLN gross/month + RSUs

Given our exciting and progressive growth plans, we are looking for an exceptional Analytics Engineer, Product to come and join our global business.

Reporting to the Senior Analytics Engineer, and working collaboratively with Product Managers, Engineers, Analysts and Commercial Leadership, you will be accountable for modelling data to provide clean, accurate data to power both decision-making and the product itself. This also entails transforming, testing, and validating data.


This is a great opportunity for someone looking to work in a fast-paced, ever-changing environment who likes to work autonomously, enjoys a challenge, and wants to make an impact.

What you will be doing:
  • Develop, test, and maintain robust dimensional data models from diverse data sources, including first-party data, data from third-party APIs, SFTPs, and other external data sources

  • Enhance the efficiency and performance of data models, focusing on improving ease of use, increasing accessibility of data, reducing runtimes, and eliminating waste

  • Build and maintain the highest quality of our data products, both internal and external

  • Advise product development on analytical requirements with new feature releases, and ensure data warehouse incorporates development changes from new feature releases effectively

  • Use your knowledge of Fresha's product and data models to analyse the performance of features and support product operations - through analytical queries and dashboards

  • Develop comprehensive data documentation to maintain consistency in understanding and communication across the team.

This list is not exhaustive and there may be other activities you are required to deliver.

Skills, experience & qualifications required:
  • Expert knowledge of SQL

  • Experience with building and testing high-quality data modelling pipelines

  • An understanding of data platform and data warehousing concepts

  • Familiarity with modern data stack components - dbt is a must

  • An interest in improving the performance and efficiency of data models and systems, with support and guidance from senior team members

  • Good communication skills in English (C1 or higher), with a willingness to collaborate with team members and stakeholders to understand requirements and share progress

  • A desire to contribute to product development decisions through data architecture best practices and analytical insights

  • Creative thinking and problem-solving abilities, with a proactive and autonomous approach to work

  • Responsible AI tool proficiency - use AI to deliver impressive and reliable results, maintaining control

Bonus points:
  • Good Polish language skills

  • Experience in driving product decisions and taking ownership of features

  • Familiarity with the following systems: Fivetran, Airflow, Snowflake, Plotly, Starrocks, Metabase

  • Experience in writing ELT pipelines with SQL and Python

  • Experience working in fast-paced companies

  • Experience in fine-tuning and controlling AI tools

Inclusive workforce

At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable.

We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment.

We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.

If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.

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