Alside · 10 hours ago
Commercial Enablement Sr. Data Science Analyst
United States
Contract
Remote
Senior Level
5+ years expAlside is a leading distributor of exterior building products, committed to continuous improvement and customer experience. The Commercial Enablement Sr. Data Science Analyst will transform complex data into actionable insights through Power BI dashboards and data models, driving growth and sales productivity.
Building Materials
Hiring Manager
Krista Searles
Responsibilities
Build, enhance, and maintain interactive Power BI dashboards to drive commercial activity, giving leaders the ability to focus on the right opportunities or issues
(Palantir) Foundry Data Integration and Application
Enhance and optimize Foundry datasets, objects, and transformations to support scalable, high‑performance Power BI and Excel reporting for commercial applications
Collaborate with data engineers to understand Foundry pipeline logic, schema changes, and upstream dependencies and integrate new data sources into PowerBI dashboards and Excel reports
Salesforce.com Data Integration and Application: Automate and integrate salesforce.com and shipment data to enable development of a sales effectiveness analytics and insights dashboard
Design, develop, and maintain complex Excel spreadsheets and scorecards to track KPIs using advanced functions to clean, automate, and interpret large datasets
Use statistical methods, modeling and data analysis to inform and support decision-making
Partner with business stakeholders to translate reporting needs into clear technical requirements and intuitive visual designs to deliver reporting solutions that align with business priorities
Leverage key internal and external data sources including but not limited to historical shipment, depletions, category, supplier, customer, consumer data, coupled with forward looking industry, marketplace, and consumer insights
Implement data quality checks, validation rules, and monitoring processes to ensure accuracy and reliability
Design, build, and maintain scalable data pipelines to ingest, transform, and model data from multiple enterprise systems for analytics and reporting use cases
Develop and manage end-to-end data workflows, from raw data ingestion through curated datasets used in Power BI, Excel, and advanced analytics applications
Partner with data engineers and platform teams to architect new pipelines, incorporate new data sources, and evolve existing data models as business needs change
Enhance and optimize Palantir Foundry datasets, objects, transformations, and newly created pipelines to support scalable, high-performance reporting and analytics
Ensure pipelines are reliable, monitored, and production-ready, including error handling, validation checks, and documentation
Support advanced analytics and data science use cases by ensuring data structures enable statistical modeling, trend analysis, and forward-looking insights
Optimize data models and pipelines for performance, scalability, and usability across Power BI and Excel consumers
Qualification
Required
Bachelor's degree, MBA is a plus
5+ years business experience in data science, analytics and/or reporting functions
Strong experience developing 1) Power BI dashboards, datasets, and data models and 2) Excel Data Analysis & Reporting
Hands‑on experience working with Foundry data products, ontology structures, and tools
Experience working with large, complex datasets and optimizing dashboard performance
Strong analytical and modeling skills
Company
Alside
Alside represents over seven decades of inspired innovation.
501-1000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase