5-7 years of experience in data science or business intelligence
Advanced skills in Power BI including data modeling, DAX, and performance tuning
Strong programming proficiency in Python for data analytics and automation
Ability to lead cross-functional teams through influence and establish analytic standards
Proven communication skills to translate complex data into actionable business insights
Experience in pricing, revenue management, or commercial analytics in diverse environments
Familiarity with pricing governance concepts and data integrity efforts
Responsibilities
Lead the development of a scalable analytics roadmap for the Pricing department
Establish metrics definitions and reporting governance across pricing teams
Facilitate cross-functional collaboration to prioritize and deliver analytic products
Design and maintain enterprise-level Power BI dashboards for performance tracking
Create semantic models to improve data usability and reduce report sprawl
Develop repeatable data workflows using Python to enhance pricing strategies
Partner with teams to enhance data quality for pricing segmentation and initiatives
Benefits
Opportunities for professional development and training
Support for cross-functional collaboration
Access to advanced analytics tools and technologies
Involvement in strategic pricing decisions
A dynamic work environment with a focus on innovation and improvement
Full Job Description
Position Purpose Summary:
The Senior Data Manager (Pricing) is a hands-on data science leader who partners with the Pricing organization to drive margin expansion, visibility, and decisioning through analytics products. This role functions as the primary data science and BI leader supporting pricing workflows, including dashboards, performance reporting, and scalable analytics tools. The Senior Data Manager leads by influence across stakeholders, establishes analytic standards, and ensures pricing teams have reliable, actionable insights-especially through Power BI solutions and Python-based data pipelines.
Key Tasks/Responsibilities:
Analytics Leadership & Functional Management:
Serve as the functional analytics leader for the Pricing department, translating pricing priorities into a scalable analytics roadmap and delivery plan.
Establish standards for metric definitions (e.g., margin, price realization, overrides), dashboard governance, and reporting cadence across Pricing stakeholders.
Lead cross-functional collaboration with Pricing, Category, Sales leadership, and IT/data teams to prioritize, deliver, and sustain analytics products
Power BI & Dashboard Development:
Design, build, and maintain enterprise-grade Power BI dashboards for pricing performance, margin trends, and operational tracking (e.g., progress monitoring, completion status, exception visibility).
Create semantic models and governed datasets to ensure consistency of insights and reduce report sprawl; improve usability and self-service for pricing stakeholders.
Partner with stakeholders to define KPIs, build executive-ready views, and evolve dashboards based on field feedback and adoption.
Data Science & Python Enablement:
Use Python to develop repeatable analytics workflows (data preparation, modeling, anomaly detection, forecasting, and performance monitoring) that support pricing strategy and governance.
Build automated pipelines and analysis templates to reduce manual work and improve timeliness/accuracy of pricing insights.
Apply statistical and analytical techniques to uncover margin leakage drivers and identify actionable opportunities for pricing and category teams
Data Quality & Enablement:
Improve data integrity and usability by partnering with master data and business teams on product attributes and category structures needed for pricing segmentation and maintenance
Support data cleanup initiatives by designing tracking and reporting mechanisms
Tooling, Scalability, & Pricing Platform Support:
Support evaluation and enablement of pricing platforms and analytics integration, ensuring pricing data can be consumed effectively via BI tools (including Power BI) and analytics layers.
Develop repeatable reporting packages for leadership and business reviews; ensure metrics align to Pricing profitability goals and strategic initiatives
Knowledge/Skills/Abilities:
Advanced experience in Power BI (data modeling, DAX, semantic layer design, performance tuning)
Strong proficiency in Python for analytics and automation (e.g., pandas, numpy, notebooks, productionizing workflows)
Proven ability to lead cross-functional work through influence (functional management), driving standards and adoption
Strong communication skills with the ability to translate technical findings into business actions
Experience supporting Pricing, Revenue Management, or Commercial Analytics organizations in a multi-branch/multi-region environment
Experience building dashboards and tracking mechanisms for operational processes and data completeness initiatives
Experience integrating analytics with enterprise systems and/or pricing platforms; exposure to BI tool interoperability expectations
About BlueLinx Holdings
BlueLinx Holdings is a leading wholesale distributor of building and industrial products in the United States with over 50,000 branded and private-label SKUs, and a broad distribution footprint servicing 40 states. BlueLinx has a differentiated distribution platform, value-driven business model and extensive cache of data-driven tools and resources that enable it to provide superior service to customers and suppliers. BlueLinx is traded on the New York Stock Exchange under the symbol BXC.
