Data Analytics Engineer (Pricing/Revenue Ops)
Posted 7 days ago by 1753528324
£400 Per day
Outside
Remote
England
Summary: The Data Analytics Engineer (Pricing/Revenue Ops) role involves leveraging data analytics to drive insights and inform pricing strategies within a leading healthcare company. The position requires expertise in SQL and Python/Pyspark/R, with a focus on pricing and revenue optimization. This is a contract role for UK-based applicants with their own Ltd Company, offering a fully remote working arrangement. The contract duration is between 6 to 12 months.
Key Responsibilities:
- Using data to drive insights, build models, and guide business decisions that directly impact revenue and customer value.
- Conducting exploratory data analysis and statistically testing to understand pricing impacts and customer behaviour.
- Collaborating with cross-functional teams including Commercial, Finance, Marketing, and Product to shape pricing strategy.
- Monitoring and evaluating pricing performance and continuously refine models based on market trends and business needs.
Key Skills:
- 5+ years of hands-on experience in data analytics, ideally with a focus on pricing, revenue optimisation, or similar.
- Strong statistical and modelling skills – regression, time series analysis, clustering, etc.
- Strong experimentation experience, frameworks (A/B testing, multivariate testing).
- Ideally have experience with pricing-related datasets and metrics (e.g. price elasticity, competitive pricing, customer value).
- Proficiency in Python or R, and SQL.
Salary (Rate): £400 per day
City: undetermined
Country: England
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Data Analytics Engineer (Pricing/Revenue Ops) 6-12 mths Remote £400 per day Outside IR35
My client is leading healthcare company who needs contract Data Analytics Enginer ideally with expertise in Pricing / Revenue Optimisation and advanced skills in SQL and Python/Pyspark/R
Applicants must be UK based and have their own Ltd Company.
- Using data to drive insights, build models, and guide business decisions that directly impact revenue and customer value.
- Conducting exploratory data analysis and statistically testing to understand pricing impacts and customer behaviour.
- Collaborating with cross-functional teams including Commercial, Finance, Marketing, and Product to shape pricing strategy.
- Monitoring and evaluating pricing performance and continuously refine models based on market trends and business needs.
-
5+ years of hands-on experience in data analytics, ideally with a focus on pricing, revenue optimisation, or similar.
- Strong statistical and modelling skills – regression, time series analysis, clustering, etc.
- Strong experimentation experience, frameworks (A/B testing, multivariate testing).
- Ideally have experience with pricing-related datasets and metrics (e.g. price elasticity, competitive pricing, customer value).
- Proficiency in Python or R, and SQL.
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