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Data Analyst, Pricing Analytics
4 months ago
This is a full-time, exempt positions.
Position Summary
The Data Analyst will is a member of the pricing analytics team, developing pricing models and tools to enable the business to make data-driven pricing decisions. The responsibilities include pricing data management, visualization/analytical tool and methodology development, tool maintenance, impact measurement, and developing/enhancing machine learning models for established and new product pricing recommendations.
The ideal candidate will have:
- commercial minded approach understanding market economics, customer and product value in alignment with go-to-market pricing strategy
- expertise in pricing analytics and levers relevant to B2B and B2C businesses
- expertise in data science techniques
- technical knowledge of platforms and software technology (Python/R, SQL Server)
- ability to drive effective support of data analysis and model management
- ability to translate technical concepts to a non-technical audience
- ability to balance tradeoffs between optimizing model performance and impact to the business
- experience with IT project management practices
Responsibilities for this position include:
- Design, develop and maintain data science products, PowerBI visualizations, and dynamic ad-hoc frameworks that help commercial teams with day to day pricing and sales activity
- Manage pricing performance discipline through continuous KPI monitoring and active coaching
- Develop processes, guard rails, and routines to drive value for various businesses
- Challenge existing assumptions in pricing methodologies to drive impactful change
- Coach business leaders and managers in leveraging machine learning models for pricing
- Develop insightful visualizations to communicate key insights to both technical and non-technical leadership
- Proven experience managing multiple priorities with competing deadlines
- Self-starter with continuous improvement mindset
- Translate complex business problems into concise analysis that help drive actions
- Partner closely with commercial, sales, finance and IT to implement and improve pricing tools
- Build machine learning models to generate insights from past customer activity
- Develop unit tests and integrity tests to ensure data and model accuracy
- Coordinate all data updates with appropriate departments (e.g., marketing, sales, finance, and operations)
- Standardize data and reporting across businesses and teams to enable consistency and quality control of key business data
- Write optimized code improving efficiency, scalability, and stability
- Bachelor's Degree in Business Analytics, Statistics, Computer Science, Physics, or related field
- 1+ years of experience performing data mining, data analytics, machine learning, and predictive modeling initiatives
- Experience with applying data science methods to pricing and commercial business problems using the full suite of Azure tools (Azure ML, Azure Pipelines and Azure DevOps)
- Experience with data visualization and data processing tools (e.g., PowerBI, Python/R)
- Experience with supervised and unsupervised machine learning algorithms (clustering, decision tree learning, etc.)
- Demonstrate strong analytical and problem solving skills
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and accurate usage, etc.) and experience with applications
- Ability to communicate, influence and build trust across multiple stakeholder groups
- Experience working with sales and commercial teams to improve data accuracy and integrity preferred
ADM requires the successful completion of a background check.
REF:84929BR