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Senior Pricing Decision Analyst
Company | Santander |
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Location | Dallas, TX, USA |
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Salary | $67500 – $140000 |
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Type | Full-Time |
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Degrees | Bachelor’s, Master’s |
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Experience Level | Senior |
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Requirements
- Bachelor’s degree or equivalent work experience
- 3+ years of business analytics and quantitative problem solving experience, or equivalent experience from an advanced degree
- Proficiency with two or more of the following tools: SQL, SAS, Python, and R
- Superior quantitative problem solving skills and customer experience intuition
- Strong written and verbal communication skills
- Rigorous focus on results
- Focused on customer experience
- Patient, willing to learn new skills and build industry knowledge
- Strong intellectual curiosity and affinity for numbers
- Analytical and organized with relentless attention to detail
- Demonstrated ability to implement procedures and guidelines
- Overall proficiency with MS Office (Excel, Outlook, Word, PowerPoint)
- Attention to detail, excellent organization, ability to prioritize work load and meet deadlines
Responsibilities
- Analyzes and review results of pricing and promotional initiatives in terms of sales growth, margin and profitability growth
- Utilizes data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations
- Develops a thorough understanding of the firm’s operations and business practices
- Applies statistical techniques to perform root cause analysis, analyze trends, and uncover risks and opportunities relative to portfolio management and originations
- Produces monthly profitability reporting on originations and proactively monitors pricing and profit key performance indicators
- Works across the organization to help develop initiatives, solidly based on data results, to drive improved business performance
- Evaluates Pricing/Rebate structure for key customers and significant industry/peer groups identifying opportunities to improve profitability
- Other duties as assigned
Preferred Qualifications
- Master’s or Ph.D. in a quantitative field (statistics, mathematics, economics, engineering, etc.) preferred