Inside the RoleThe 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 InformationWe 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.
Position offers a starting salary range of $86,000 - $110,000 USDPay offered dependent on knowledge, skills, and experience.
Benefits 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.
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 (Minimum Requirements)
: - Bachelor's degree in Data Science, Analytics, Statistics, Economics, Engineering, Mathematics, Computer Science, Business Analytics, or a related field.
- 2+ 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.
- An attached resume is required
Exceptional Candidates May Have (Preferred Qualifications)
: - 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
- Basic proficiency with AI-enabled workplace tools and technologies
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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.
