Data Analyst - Erlanger, KY

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The Data Analyst 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
The position is located in Erlanger, KY (Cincinnati, OH metro area)
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

Additional Qualifications/Responsibilities
Requirements for this position include:
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