The Pricing Insights and Data Science Senior Manager is a new and crucial role aimed at enhancing our business through detailed pricing specific data analysis and strategic insights.

This position involves managing large datasets, providing pricing insights, and supporting the development of actionable business strategies through collaboration with business leaders.

Key responsibilities include:

• Transforming complex data sets into manageable analyses for pricing insights.
• Improving commercial and pricing insight to support development of pricing strategy frameworks.
• Utilizing statistical tools to identify patterns and trends.
• Ensuring data quality and overseeing cleansing activities.
• Exploring opportunities for quantitative research to further enhance pricing insights where available.

We are seeking a candidate who can bring innovative solutions and develop new insight perspectives on pricing and commercial analysis. Furthermore, the candidate would assess and align viability to develop solutions which ensure we stay ahead of market trends. Deliver this by exploring and utilising the insights in dynamic models and machine learning solutions, automation and naturally looking for efficiencies.

Core competencies required include:

• Expertise in data cleaning, preparation, and analysis.
• Strong SQL and programming skills.
• Proficiency in statistical tools (Databricks, Python, R) for data diagnosis and prediction.
• Effective stakeholder problem solving, communication and influencing skills.

Summary of Role Profile:

The role will: 

• Develop and provide in-depth and service specific pricing insights, effectiveness and variance analysis to evolve commercial pricing strategies.
• Support continuous improvement and pricing application to enhance robust commercial planning for consistent sustainable profitable growth.

 What is the role focus?

• Provides in-depth actionable insights on pricing based on data analysis and research to inform engagement pricing decisions. 
• Performs analysis and interpret patterns and trends to extract actionable insights to inform Capability strategies and therefore engagement pricing decisions. 
• Review Plan vs Actual drivers, price to market rate analysis to support Pricing CoE in maintaining and updating capability pricing strategies. 

 Role Purpose:

Manipulate, clean and assess large complex data sets to provide pricing and commercial analysis and insights to facilitate, develop and continuously improve a Commercial planning and the Pricing Strategy framework

 Key Accountabilities:

• Ability to manage large and complex, granular data sets via systems into manageable analysis
• Management of development of business slices and dices of pricing data into insights
• Development and ongoing management and continuous improvement of commercial insight and pricing strategy modelling methodology and framework leading into business systems    
• Ability to extract actionable business insights from data and research to increase objective improvements in all commercial planning and pricing through visibility and rigor
• Using statistical tools to identify, analyse, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
• Analyse the quality of data, establishing rules to determine and improve it, and planning, delivering and overseeing cleansing activities as required.
• Plan and undertake quantitative research to baseline, track and evaluate pricing services and the impact of proposed and actual change as required
• Produce briefing notes, reports and other written outputs relating to the content, structure and quality of data.

Core KPI's:

• Manage large and complex, granular data sets via systems into manageable analysis of pricing data into insights
• Develop and manage commercial planning and pricing strategy methodology modelling and framework
• Manage the interface of all commercial and pricing data to insight engines and the pricing framework to Pricing Strategy Engine and commercial planning tools and systems.
• Extract and regularly update the actionable business insights from data and research to increase objective pricing visibility and rigor
• Stakeholder Satisfaction: Tracking feedback and satisfaction from stakeholders to understand the effectiveness of data modelling and analysis in meeting their needs
• Data Quality: Measuring the accuracy, completeness, and consistency of data to ensure it is fit for its intended use.
• Data Governance: Monitoring compliance with data governance policies and identifying areas for improvement.

Skills required:

Essential

• Statistical knowledge
• Data Science modelling
• Data cleaning and preparation
• Data modelling development
• Data analysis and exploration
• Creating data visualizations and reporting
• Data Problem solving

Desirable

• Domain knowledge i.e. Pricing frameworks
• Writing and communication skills and influence of senior stakeholders with actionable insights
• Programming skills to analyse that data

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