Commercial Data Analyst at Harnham, London, £350-£400 per day

£350 - £400 per day

Contract Description

COMMERCIAL DATA ANALYST

LONDON (2 TO 3 DAYS ONSITE)

OUTSIDE IR35

£350 TO £400 PER DAY


3 MONTH CONTRACT

This is a high-impact contract opportunity for a Senior Commercial Data Analyst to deliver commercially focused insights across multiple markets. You will play a key role in shaping revenue and profitability decisions, working closely with senior stakeholders.

The Company
They are an international organisation operating across multiple markets, with a growing focus on data-driven decision making. Their analytics function is central to improving commercial performance and driving strategic outcomes. You will join a collaborative analytics team with strong visibility across senior leadership. The environment is fast-paced and commercially focused, with clear links between analytics and business impact.

The Role and Deliverables
* Deliver deep-dive analysis focused on revenue, profitability, and commercial performance
* Build and refine customer lifetime value models, applying them to real business scenarios
* Analyse customer inflows and outflows to identify value drivers and areas of loss
* Identify drivers of churn, revenue leakage, and pricing inefficiencies
* Work with P and L data to support profitability and IBITDA improvements
* Partner with senior stakeholders to provide actionable insights across multiple markets

Your Skills & Experience
* Strong SQL skills with experience working on large datasets
* Proven experience in commercial analytics, including revenue, profitability, and customer value
* Expertise in building and applying lifetime value models, with the ability to clearly explain methodology and impact
* Experience working with P and L data and influencing business performance
* Ability to deliver insights quickly and communicate effectively to senior stakeholders
* Exposure to tools such as Databricks, with Python as a plus


Desired Skills and Experience

Commercial Data Analyst with strong SQL, specialising in revenue and profitability analysis, LTV modelling, churn and pricing optimisation, P &L and IBITDA impact, working with large datasets in Databricks, and delivering actionable insights to senior stakeholders across international markets