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- Tasks: Transform complex data into actionable pricing insights and strategies.
- Company: Join a forward-thinking company focused on innovative pricing solutions.
- Benefits: Enjoy opportunities for remote work, professional growth, and collaboration with business leaders.
- Why this job: Be at the forefront of data-driven decision-making in a dynamic environment.
- Qualifications: Expertise in data analysis, SQL, and statistical tools like Python and R required.
- Other info: This role is perfect for those passionate about data science and pricing strategies.
The predicted salary is between 48000 - 84000 £ per year.
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 analysisManagement of development of business slices and dices of pricing data into insightsDevelopment 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 rigorUsing statistical tools to identify, analyse, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and predictionAnalyse 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 requiredProduce 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 insightsDevelop and manage commercial planning and pricing strategy methodology modelling and frameworkManage 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 rigorStakeholder Satisfaction: Tracking feedback and satisfaction from stakeholders to understand the effectiveness of data modelling and analysis in meeting their needsData 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:EssentialStatistical knowledgeData Science modellingData cleaning and preparationData modelling developmentData analysis and explorationCreating data visualizations and reportingData Problem solvingDesirableDomain knowledge i.e. Pricing frameworksWriting and communication skills and influence of senior stakeholders with actionable insightsProgramming skills to analyse that data#LI-AC1
Pricing Insights and Data Science Senior Manager employer: KPMG
Contact Detail:
KPMG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Insights and Data Science Senior Manager
✨Tip Number 1
Familiarize yourself with the latest trends in pricing strategies and data science. This will not only help you understand the role better but also allow you to speak confidently about innovative solutions during the interview.
✨Tip Number 2
Network with professionals in the data science and pricing fields. Engaging with industry experts can provide you with insights and potentially valuable connections that may help you stand out as a candidate.
✨Tip Number 3
Brush up on your SQL and programming skills, especially in Python and R. Being able to demonstrate your technical proficiency in these areas during discussions can significantly enhance your candidacy.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data analysis to drive business decisions in the past. Highlighting your experience with actionable insights will resonate well with the hiring team.
We think you need these skills to ace Pricing Insights and Data Science Senior Manager
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Pricing Insights and Data Science Senior Manager position. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Relevant Skills: Emphasize your expertise in data cleaning, preparation, and analysis, as well as your proficiency in SQL and statistical tools like Python or R. Provide specific examples of how you've utilized these skills in previous roles.
Showcase Problem-Solving Abilities: Demonstrate your problem-solving skills by including examples of how you've tackled complex data challenges in the past. Discuss any innovative solutions you developed and their impact on business outcomes.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also conveys your passion for data science and pricing strategies. Make sure to connect your experiences to the company's goals and how you can contribute to their success.
How to prepare for a job interview at KPMG
✨Showcase Your Data Expertise
Be prepared to discuss your experience with managing large datasets and the specific statistical tools you've used, such as Databricks, Python, or R. Highlight any projects where you transformed complex data into actionable insights.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your ability to solve problems using data. Prepare examples of how you've identified patterns and trends in data to inform pricing strategies or commercial decisions.
✨Communicate Effectively
Since this role involves collaboration with business leaders, practice articulating your insights clearly and concisely. Be ready to explain complex data findings in a way that is understandable to non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Think about potential scenarios related to pricing strategy development and be ready to discuss how you would approach them. This could include how you would handle data quality issues or how you would explore new quantitative research opportunities.
