Pricing Strategy and Data Science Analyst
Core
Analyze pricing, financial, and competitive data to drive profitable growth for DTNA Parts by building analytical insights and supporting pricing initiatives.
Role type
Mid-level IC pricing strategy and data science analyst
Builds
Pricing logic, dashboards, reports, and analytical models for pricing performance
Domain
Automotive parts (OEM) + Pricing Strategy + Data Science
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, statistical modeling, predictive analytics, data manipulation, large dataset handling, visualization tools
Preferred skills
Generative AI/LLMs, cloud deployment (Azure/AWS/GCP), price elasticity modeling, causal inference, TensorFlow/PyTorch
Technologies
Python, SQL, Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Tableau, Power BI, Azure, AWS, Google Cloud
Responsibilities
Analyze pricing, sales, cost, and competitive data; build and maintain analytical models; develop dashboards and reports; partner with cross-functional teams; support ad-hoc analyses; improve pricing tools and data quality
Seniority
Mid-level, hands-on IC
