Data Analyst, Commercial

Fresha

full-time

Posted on: 9/27/2025

Location Type: Hybrid

Location: London • 🇬🇧 United Kingdom

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Mid-LevelSenior

AirflowCloudETLPythonSQL

About the role

Drive revenue growth, enhance profitability, and identify commercial opportunities across sales, marketing, operations, and product divisions.
Develop data models, metrics, and insights that fuel growth and open up new perspectives.
Report to the Lead Commercial Analyst and collaborate closely with Engineers, other Analysts, and Commercial teams.
Turn complex analyses into compelling, actionable insights and persuade stakeholders to act on findings.
Develop metrics from complex commercial, product, and customer workflows to identify opportunities and inform decision-making at all levels.
Automate reports and metrics to provide timely, intervention-free data access; build and maintain data modelling and pipelines.
Dive into various tools, set them up to extract needed insights, and stay aligned with operational processes as commercial and marketing teams change.
Work primarily from the office four days per week with flexibility to work remotely one day.

Proven experience in developing and implementing growth analytics strategies with commercial, marketing, sales, or product teams.
Expertise in transforming complex analyses into persuasive insights for decision-making.
Advanced skills in data analysis, particularly with SQL.
Familiarity with data modelling practices and pipeline development.
Extensive experience with BI/visualisation tools.
Experience working with cloud data warehouses.
(Added bonus) Skills in Python/R.
(Added bonus) Experience with Fivetran, Prefect, Snowflake, and Periscope.
(Added bonus) Familiarity with writing ETL pipelines using SQL and Python, and orchestration tools like Airflow or Prefect.
(Added bonus) Background in experimentation.
(Added bonus) Experience in fast-paced, venture-backed startup environments.

Benefits

To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from the office four days per week, with the flexibility to work remotely one day each week.
Inclusive workforce: At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable.
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.
We believe in fostering growth and providing the support needed for you to excel in your role.

Tip: use these terms in your resume and cover letter to boost ATS matches.

data analysisSQLdata modellingpipeline developmentBI toolscloud data warehousesPythonRETL pipelinesAirflow

persuasive communicationcollaborationanalytical thinkingproblem-solvingstakeholder engagement