Data Science, Business Intelligence Generalist II

Daimler Truck North America

. Analyze pricing, sales, margin, cost, and competitive market data to support strategic pricing decisions .

Posted 10/13/2026full-timeFort Mill • South Carolina • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Pricing Analytics and Business Intelligence, utilizing SQL, Python, Power BI, and Tableau to develop analytical frameworks and dashboards that drive strategic pricing decisions. Strong ability to communicate complex analyses effectively to stakeholders while managing multiple priorities in a fast-paced environment.

Highest-signal resume keywords

Pricing AnalyticsBusiness IntelligenceSQLPower BIData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Pricing ModelsStatistical AnalysisQuantitative AnalysisDashboard DevelopmentData ModelingPricing ElasticityProfitability AnalysisMarket Basket AnalysisAutomated ReportingUser Acceptance Testing

Soft Skills

Excellent CommunicationProblem-SolvingIndependent WorkTime Management

Tools & Technologies

Power BITableauSQLSnowflakeMicrosoft ExcelAlteryxSASCloud-Based Analytics

Industry Keywords

AutomotiveAftermarket PartsManufacturingDistributionPricing StrategiesRevenue ManagementCompetitive IntelligenceData WarehousingETL ProcessesAgile Project Environments

Tech Stack

Tools & technologies

CloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Analyze pricing, sales, margin, cost, and competitive market data to support strategic pricing decisions
Develop and maintain pricing models to identify pricing trends, customer behavior, market dynamics, and revenue opportunities
Evaluate competitive positioning and support pricing recommendations through quantitative analysis
Perform pricing elasticity, profitability, and market basket analyses
Generate pricing publication files and pricing recommendations during price book updates
Conduct ad-hoc analytical deep dives for business-critical decisions
Design, develop, and maintain dashboards, scorecards, and KPI reporting using Power BI and Tableau
Build automated reporting solutions to monitor pricing performance, sales trends, margin impact, and business outcomes
Develop analytical frameworks to identify performance trends, anomalies, and growth opportunities
Present findings and recommendations to business stakeholders and leadership teams
Maintain and enhance pricing systems, workflows, and analytical tools
Perform user acceptance testing and support implementation of new pricing and analytics solutions
Document business processes, pricing logic, and analytical methodologies
Identify opportunities to automate reporting and improve operational efficiency
Lead or support cross-functional projects related to pricing, analytics, and business intelligence
Partner with Pricing, Sales, Marketing, Product Management, Finance, IT, and Analytics teams

Requirements

What you’ll need

Bachelor's degree in Data Science, Analytics, Statistics, Economics, Engineering, Mathematics, Computer Science, Business Analytics, or a related field
2-4 years of experience in Pricing Analytics, Business Intelligence, Data Analytics, or a related analytical role
Strong experience with SQL, Snowflake, Python, Power BI, Tableau, and Microsoft Excel
Experience working with large, complex datasets and analytical data models
Strong statistical, quantitative, and problem-solving skills
Experience developing dashboards, reports, and business intelligence solutions
Excellent communication skills with the ability to explain complex analyses to non-technical audiences
Ability to work independently while managing multiple priorities
Applicants must be legally authorized to work permanently in the country the position is located in at the time of application
Final candidate must successfully complete a criminal background check
Final candidate may be required to successfully complete a pre-employment drug screen
Exceptional candidates may have experience within automotive, aftermarket parts, manufacturing, or distribution industries
Exceptional candidates may have knowledge of pricing strategies, revenue management, and competitive intelligence
Exceptional candidates may have experience with machine learning, forecasting, or predictive analytics
Exceptional candidates may have experience with Alteryx, SAS, Snowpark, or cloud-based analytics platforms
Exceptional candidates may have familiarity with data warehousing, ETL processes, and enterprise data architecture
Exceptional candidates may have experience working in Agile project environments
MBA or Master's degree in a related field is advantageous for exceptional candidates

Benefits

Comp & perks

Hybrid schedule: 4 days per week in-office / 1 day remote
Relocation assistance is not available for this position
Equal employment opportunities and workforce inclusion
Accommodation or special assistance with applying available through Human Resources