Pricing Strategy and Advanced Analytics Analyst

Daimler Truck North America

. Analyze pricing, sales, cost, and competitive data to support strategic pricing initiatives .

Posted 10/2/2026full-timeFort Mill • South Carolina • United StatesMid-LevelSenior💰 $86,000 - $110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical and problem-solving capabilities, utilizing Python and SQL for data analysis and predictive modeling. Proficient in developing dashboards and reports to communicate insights and support strategic pricing initiatives.

Highest-signal resume keywords

Python ProficiencySQL ProficiencyPredictive Analytics ExperienceStatistical Modeling SkillsData Visualization Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive ModelingMachine Learning DevelopmentStatistical MethodsData Collection FrameworksAnalytical ModelingOptimization TechniquesHandling Large DatasetsCausal InferencePrice Elasticity Modeling

Soft Skills

Strong Communication SkillsAttention to DetailCollaborative TeamworkEagerness to LearnProblem-Solving Skills

Tools & Technologies

TableauPower BIPandasNumPyScikit-LearnTensorFlowPyTorchAzureAWSGoogle Cloud

Industry Keywords

Data ScienceEconomicsStatisticsBusiness AnalysisPricing StrategiesCompetitive AnalysisKPI TrackingCross-Functional CollaborationContinuous ImprovementGenerative AI

Tech Stack

Tools & technologies

AWSAzureCloudNumpyPandasPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

Key responsibilities & impact

Analyze pricing, sales, cost, and competitive data to support strategic pricing initiatives
Build and maintain analytical models to evaluate competitive position, pricing scenarios, and performance trends
Develop, maintain, and enhance dashboards and reports to track pricing KPIs and communicate insights
Apply statistical, mathematical, predictive modeling, and business analysis skills to complex, high-volume data
Develop and maintain infrastructure systems connecting internal datasets
Create new data collection frameworks for structured and unstructured data
Partner with Pricing, Marketing, Sales, Product, Finance, and Analytics teams on cross-functional initiatives
Support ad-hoc analyses and deep dives addressing time-sensitive business questions
Contribute to continuous improvement of pricing tools, processes, and data quality
Progressively take on more complex analytical and strategic responsibilities
Translate complex data into clear insights and actionable recommendations

Requirements

What you’ll need

Bachelor's degree in Data Science, Economics, Engineering, Statistics, Business, Computer Science, Artificial Intelligence, or a related field
Strong analytical and problem-solving skills with attention to detail
Proficiency in Python and SQL for data analysis, statistical modeling, and machine learning development
Experience applying predictive analytics, machine learning, optimization techniques, or advanced statistical methods to solve business problems
Experience handling large datasets
Strong communication skills and ability to work collaboratively across teams
Eagerness to learn, take feedback, and grow in a fast-paced environment
Must be legally authorized to work permanently in the United States 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
Visa sponsorship is not available
Preferred: familiarity with visualization tools such as Tableau or Power BI
Preferred: experience with Python data science libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, or similar technologies
Exceptional candidates might have experience with Generative AI, Large Language Models, prompt engineering, or AI-assisted analytics solutions
Exceptional candidates might have experience developing and deploying machine learning models in Azure, AWS, or Google Cloud environments
Exceptional candidates might have experience with forecasting, optimization, price elasticity modeling, recommendation systems, or causal inference
Master's degree in a quantitative field is an exceptional-candidate qualification

Benefits

Comp & perks

Annual bonus program
401(k) company contribution with company match up to 6%
Non-elective company contribution of 3–7% depending on age
Starting at 4 weeks paid vacation
13+ calendar holidays
8 weeks paid parental leave
Employee assistance program
Comprehensive healthcare plans
Wellness programs
Onsite fitness at some locations
Tuition assistance
Volunteer paid time off
Short-term and long-term disability plans