Data Science & Business Intelligence Generalist II

Posted Yesterday
Be an Early Applicant
Fort Mill, SC, USA
Hybrid
Mid level
Automotive • Industrial • Manufacturing
The Role
Supports strategic pricing through advanced analytics, pricing models, competitive intelligence, elasticity and profitability analysis. Builds Power BI and Tableau dashboards, automated reporting, KPI scorecards, and analytical frameworks. Maintains pricing systems, performs UAT, documents processes, improves workflows, and supports cross-functional analytics projects. Translates complex datasets into recommendations for pricing, sales, marketing, product, finance, IT, and leadership stakeholders.
Summary Generated by Built In

Inside the Role

The Pricing Strategy & Data Analytics Analyst supports DTNA Parts' strategic pricing initiatives through advanced analytics, pricing intelligence, and data-driven decision-making. This role combines pricing strategy, business intelligence, and data engineering capabilities to identify opportunities that drive profitable growth, improve pricing effectiveness, and enhance competitive positioning.
The analyst will develop analytical models, maintain pricing systems, create dashboards and reporting solutions, and partner closely with Pricing, Sales, Marketing, Product Management, Finance, IT, and Analytics teams. The role requires strong technical expertise in SQL, Snowflake, Python, and data visualization platforms, along with the ability to translate complex datasets into actionable business recommendations.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

We Take Care of Our Team

What You Drive at DTNA:


Pricing Analytics & Strategy

  • 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 to support pricing initiatives.
  • Generate pricing publication files and pricing recommendations during price book updates.
  • Conduct ad-hoc analytical deep dives to support business-critical decisions

Data Analysis & Business Intelligence

  • 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 opportunities for growth.
  • Present findings and recommendations to business stakeholders and leadership teams.

Systems & Process Improvement

  • Maintain and enhance pricing systems, workflows, and analytical tools.
  • Perform user acceptance testing (UAT) 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.

Knowledge You Should Bring:


  • 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.

Exceptional Candidates May Have:

  • Experience within automotive, aftermarket parts, manufacturing, or distribution industries.
  • Knowledge of pricing strategies, revenue management, and competitive intelligence.
  • Experience with machine learning, forecasting, or predictive analytics.
  • Experience with Alteryx, SAS, Snowpark, or cloud-based analytics platforms.
  • Familiarity with data warehousing, ETL processes, and enterprise data architecture.
  • Experience working in Agile project environments.
  • MBA or Masters in Analytics, Statistics, Economics, Engineering, Mathematics, Computer Science, Business Analytics, or a related field

#LI-CF1

#LI-HYBRID

Where We Work

This position is open to applicants who can work in (or relocate to) the following location(s)-

Fort Mill, SC US. Relocation assistance is not available for this position.

Schedule Type:

Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.

At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we’re building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA’s legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future – building a cleaner, safer and more efficient tomorrow for all.

That is what we are working toward - for all who keep the world moving.

Additional Information

  • This position is not open for Visa sponsorship or to existing Visa holders
  • 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
  • Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions
  • EEO - Disabled/Veterans

Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status.

For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935.

Skills Required

  • 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 and ability to explain complex analyses to non-technical audiences
  • Ability to work independently while managing multiple priorities
  • Experience in automotive, aftermarket parts, manufacturing, or distribution industries
  • Knowledge of pricing strategies, revenue management, and competitive intelligence
  • Experience with machine learning, forecasting, or predictive analytics
  • Experience with Alteryx, SAS, Snowpark, or cloud-based analytics platforms
  • Familiarity with data warehousing, ETL processes, and enterprise data architecture
  • Experience working in Agile project environments
  • MBA or master's degree in Analytics, Statistics, Economics, Engineering, Mathematics, Computer Science, Business Analytics, or a related field
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Portland, OR
6,290 Employees
Year Founded: 1942

What We Do

Daimler Truck North America, a Daimler Truck AG company, is the largest heavy-duty truck manufacturer in North America and a leading producer of medium-duty trucks and specialized commercial vehicles. Headquartered in Portland, Oregon, Daimler Truck North America manufactures, sells and services several renowned commercial vehicle brands including Freightliner Trucks, Western Star Trucks, Thomas Built Buses, and Freightliner Custom Chassis. Through the company’s affiliates, Daimler Truck North America is also a leading provider of heavy-and medium-duty diesel engines and other components. The company’s strategic partners in the North American commercial vehicles market include Daimler Truck Financial, TravelCenters of America and Petro Truck Centers

Similar Jobs

Zscaler Logo Zscaler

Architect

Cloud • Information Technology • Security • Software • Cybersecurity
Easy Apply
Remote or Hybrid
USA
8697 Employees
165K-235K Annually

PwC Logo PwC

CTIO-DevOps Senior Associate

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Hybrid
63 Locations
370000 Employees
151K-187K Annually

PwC Logo PwC

Artificial Intelligence Engineer

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Remote or Hybrid
68 Locations
370000 Employees
151K-187K Annually

Nasuni Logo Nasuni

Marketing Operations Manager

Artificial Intelligence • Big Data • Cloud • Security • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Easy Apply
Remote or Hybrid
United States
550 Employees

Similar Companies Hiring

Amalgamated Sugar Thumbnail
Food • Greentech • Agriculture • Industrial • Manufacturing
Boise, Idaho
768 Employees
Ford Energy Thumbnail
Automotive • Software • Energy • Utilities • Manufacturing • Renewable Energy
US
55 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account