{"id":3490299,"url":"https://alion.io/job/freightliner-data-science-business-intelligence-generalist-ii","title":"Data Science & Business Intelligence Generalist II","company":{"id":1891119,"name":"Freightliner","domain":"freightliner.com","url":"https://alion.io/company/freightliner-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":11,"ghost_share":0,"stale_share":0.182,"repost_share":0.091,"time_to_fill_p50_days":12,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Fort Mill, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":86000,"max":110000,"currency":"USD","period":"year","gross":null,"usd_annual":110000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Agile","optional":true},{"name":"Alteryx","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Machine Learning","optional":true},{"name":"SAS","optional":true}],"status":"live","first_seen_at":"2026-10-29T23:16:23Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-31T17:36:26Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Inside the Role\nThe 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.\nPosting Information\nWe 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.\nWe Take Care of Our Team\nPosition offers a starting salary range of $86,000 - $110,000 USD\nPay offered dependent on knowledge, skills, and experience.\nBenefits include annual bonus program; 401k company contribution with company match up to 6% as well as 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 and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans.\nWhat You Drive at DTNA:\nPricing Analytics & Strategy\nAnalyze pricing, sales, margin, cost, and competitive market data to support strategic pricing decisions.\nDevelop and maintain pricing models to identify pricing trends, customer behavior, market dynamics, and revenue opportunities.\nEvaluate competitive positioning and support pricing recommendations through quantitative analysis.\nPerform pricing elasticity, profitability, and market basket analyses to support pricing initiatives.\nGenerate pricing publication files and pricing recommendations during price book updates.\nConduct ad-hoc analytical deep dives to support business-critical decisions\nData Analysis & Business Intelligence\nDesign, develop, and maintain dashboards, scorecards, and KPI reporting using Power BI and Tableau.\nBuild automated reporting solutions to monitor pricing performance, sales trends, margin impact, and business outcomes.\nDevelop analytical frameworks to identify performance trends, anomalies, and opportunities for growth.\nPresent findings and recommendations to business stakeholders and leadership teams.\nSystems & Process Improvement\nMaintain and enhance pricing systems, workflows, and analytical tools.\nPerform user acceptance testing (UAT) and support implementation of new pricing and analytics solutions.\nDocument business processes, pricing logic, and analytical methodologies.\nIdentify opportunities to automate reporting and improve operational efficiency.\nLead or support cross-functional projects related to pricing, analytics, and business intelligence.\nKnowledge You Should Bring (Minimum Requirements):\nBachelor's degree in Data Science, Analytics, Statistics, Economics, Engineering, Mathematics, Computer Science, Business Analytics, or a related field.\n2+ years of experience in Pricing Analytics, Business Intelligence, Data Analytics, or a related analytical role.\nStrong experience with: SQL, Snowflake, Python, Power BI, Tableau and Microsoft Excel\nExperience working with large, complex datasets and analytical data models.\nStrong statistical, quantitative, and problem-solving skills.\nExperience developing dashboards, reports, and business intelligence solutions.\nExcellent communication skills with the ability to explain complex analyses to non-technical audiences.\nAbility to work independently while managing multiple priorities.\nAn attached resume is required\nExceptional Candidates May Have (Preferred Qualifications):\nExperience within automotive, aftermarket parts, manufacturing, or distribution industries.\nKnowledge of pricing strategies, revenue management, and competitive intelligence.\nExperience with machine learning, forecasting, or predictive analytics.\nExperience with Alteryx, SAS, Snowpark, or cloud-based analytics platforms.\nFamiliarity with data warehousing, ETL processes, and enterprise data architecture.\nExperience working in Agile project environments.\nMBA or Masters in Analytics, Statistics, Economics, Engineering, Mathematics, Computer Science, Business Analytics, or a related field\nBasic proficiency with AI-enabled workplace tools and technologies\nWhere We Work\nThis position is open to applicants who can work in (or relocate to) the following location(s)-\nFort Mill, SC US. Relocation assistance is not available for this position.Schedule Type:\nHybrid (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.\nThat is what we are working toward - for all who keep the world moving.\nAdditional Information\nThis position is not open for Visa sponsorship or to existing Visa holders\nApplicants must be legally authorized to work permanently in the country the position is located in at the time of application\nFinal candidate must successfully complete a criminal background check\nFinal candidate may be required to successfully complete a pre-employment drug screen\nContractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions\nEEO - Disabled/Veterans\nDaimler 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.\nFor 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. 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