Senior Analytics Engineer — Data Growth (Remote Wed)

Fresha; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Fresha is looking for a Senior Analytics Engineer in London to join our global team. You will report to the VP Analytics and work with Product Managers, Engineers, Analysts and Commercial leadership to model data and deliver clean, reliable datasets from a range of sources.

You will build dbt models and ELT pipelines around our commercial and marketing metrics, supporting budgeting, revenue forecasts and product insights.

Qualifications

• Excellent knowledge of SQL and a firm understanding of data modeling concepts.

Responsibilities

• 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 commercial and marketing metrics, applying best practices in data integration, management, and governance
• Advise product development on any analytical implications of new feature releases
• Coach other engineers and analysts to get the most from our data models and maintain a codebase 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

SQL

dbt

Data warehousing concepts

Data ingestion

Performance tuning

Requirements translation

Team collaboration

Data architecture

Problem solving

Tools

Fivetran

Airflow

Snowflake

Plotly

Job description

Fresha is looking for a Senior Analytics Engineer in London to join our global team. You will report to the VP Analytics and work with Product Managers, Engineers, Analysts and Commercial leadership to model data and deliver clean, reliable datasets from a range of sources.

You will build dbt models and ELT pipelines around our commercial and marketing metrics, supporting budgeting, revenue forecasts and product insights.