Senior Analytics Engineer (Warsaw)

Fresha; Warszawa; Hybrid; PLN 230,000 - 320,000; Full time

Job summary

Fresha is the leading AI-powered operating system for the global beauty and wellness industry, with unicorn status and global expansion. We are seeking an experienced Senior Analytics Engineer to join our Warsaw team, reporting to the VP Analytics and collaborating with product, engineering, and finance to model data and power decision making.

This role focuses on building robust data models, ELT pipelines, and advising product development on analytical implications.

Qualifications

• Fluent in English and able to communicate complex data concepts clearly.
• Strong SQL skills and deep understanding of data modeling.
• Experience with mature dbt projects across full development and deployment lifecycle.
• People management experience and ability to coordinate and unblock work.
• Knowledge of data warehousing concepts, cost drivers, security and access controls.
• Interest in applying AI tools to facilitate development, analysis and automation while maintaining quality.
• Open to new pipelines and products like batch LLM processing of free text.
• Experience with streaming and batch data ingestion systems.
• Proven ability to translate business needs into data products and drive analytics-driven decisions.

Responsibilities

• Develop, test, and maintain robust dimensional data models from diverse data sources.
• Enhance efficiency and performance of data models, increasing accessibility and reducing runtimes.
• Establish and maintain ELT pipelines for the data warehouse focused on B2B and finance metrics.
• Advise product development on analytical implications of new feature releases.
• Coach other engineers and analysts to extract value from data models and maintain codebases.
• Use knowledge of Fresha's product and data models to analyze feature performance and support product ops.
• Develop comprehensive data documentation to maintain cross-team understanding.

Skills

Fluent English

SQL proficiency

Data modeling knowledge

dbt project lifecycle

People management

Data warehousing concepts

AI tooling for development

Batch LLM processing

Streaming data ingestion

Data documentation

Data product thinking

Tools

dbt

Airflow

Snowflake

Fivetran

Plotly

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

We are looking for an experienced Senior Analytics Engineer to join the team.

Reporting to the VP Analytics, and working collaboratively with Product Managers, Engineers, Analysts and Commercial leadership, you will be accountable for modeling data to provide clean, accurate datasets to power internal decision making and provide insights to our customers directly. This involves transforming, testing, and validating data from a wide variety of sources to create a comprehensive view of Fresha.

This person will mainly be working with our product and finance teams, converting their needs for accurate, easy to use models to understand feature performance, make sense of partner's businesses and keep our revenues, costs and other financial metrics in good shape. It would suit someone leaning towards product development and financial strategy.

This is a great opportunity for someone looking to work in a fast-paced and 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
• Establish and maintain ELT pipelines for our warehouse, mainly around Fresha's b2b business and finance metrics
• Advise product development on any analytical implications of new feature releases or adjustments to existing models
• Coach other engineers and analysts to get the most from our data models and maintain our codebases for the long term
• 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.

Skills, experience & qualifications required

• Working fluency in English
• Excellent knowledge of SQL and a solid understanding of data modeling concepts
• Deep familiarity with mature dbt projects across the full lifecycle of development and deployment
• Experience with people management and being responsible for organising and unblocking work
• Understanding of data warehousing systems, cost drivers, configurations, security and access controls
• Drive to work out how to best apply AI tools to facilitate development, analysis and automation while maintaining quality
• Open to new types of pipelines and products e.g. batch LLM processing of free text
• Exposure to or familiarity with streaming and batch data ingestion systems
• Demonstrable experience in improving the performance, efficiency and usability of data models
• Experience translating business requirements from non-technical data users and downstream analytical teams into data products
• A desire to contribute to product development decisions through data architecture guidance and user insights
• Creative thinking and problem-solving abilities, with a proactive and autonomous approach to work

Bonus points:

• Familiarity with the following systems: Fivetran, Airflow, Snowflake, dbt and Plotly
• Experience working in fast-paced b2b SaaS or consumer marketplaces

Inclusive workforce

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

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 upon 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.