Technical Pricing Analyst

Adecco
Bristol, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 45K

Job location

Bristol, United Kingdom

Tech stack

Business Analytics Applications
Data analysis
Python
Power BI
SAS (Software)
SQL Databases
Tableau
Snowflake
Data Analytics

Job description

We're supporting a leading UK consumer business in the search for a Pricing Analyst to join their high-performing Pricing & Value team.

This is a fantastic opportunity for a commercially minded analyst to work on a large and complex pricing portfolio, helping shape acquisition, retention and profitability strategies through data-driven insight and technical modelling.

You'll work closely with experienced pricing specialists and cross-functional teams, supporting live pricing decisions through modelling, forecasting, optimisation and analysis., As a Technical Pricing Analyst, you'll be involved in: * Building and enhancing pricing models to predict customer behaviours including conversion, retention and claims activity * Supporting pricing strategy and trading performance through detailed analysis and insight * Analysing competitor pricing and trial results to support optimisation activity * Developing forecasting models and monitoring performance against forecasts * Preparing, validating and reconciling datasets to support robust pricing analysis * Exploring new data sources, modelling techniques and analytical tools * Monitoring model performance and recommending improvements where required * Working closely with Pricing, Finance, Marketing, Insights and Compliance teams * Supporting pricing governance and ensuring regulatory compliance

Requirements

We're keen to speak with candidates who have experience within pricing, analytics, data science or a similar data-focused environment.

You'll ideally have: * Strong analytical and problem-solving skills * Understanding of pricing and modelling techniques such as GLMs / GBMs * Experience using SQL, Snowflake or SAS * Experience with Power BI or Tableau * Exposure to statistical modelling tools such as Python, R, Emblem or Radar * Strong commercial awareness and ability to communicate insight clearly * Ability to work in a fast-paced and regulated environment

Experience with optimisation tools such as Earnix or Radar Optimiser would be beneficial, but not essential.

Benefits & conditions

Competitive Salary + Bonus + Excellent Benefits

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