OneMain Financial Jobs

What you’ll do:

The Strategic Pricing Analyst role is responsible for managing and analyzing pricing requests from Eaton global partners while leveraging advanced data analytics and financial analysis to support pricing strategies and business decision‑making. This role combines strong pricing expertise with data‑driven insights, supporting strategic planning initiatives by translating complex financial and operational data into actionable recommendations. The position requires strong business and financial acumen, a solid pricing background, and a growing emphasis on data analytics, with a preference for exposure to data science concepts and tools to enhance pricing effectiveness and profitability.

Job Responsibilities

Daily:

•Maintain and enhance pricing analytics tools, dashboards, and financial reporting models to track margin, profitability, and price realization.

•Monitor pricing performance indicators, identifying variances, trends, and financial risks or opportunities.

•Ensure accuracy, consistency, and integrity of pricing‑related financial data used for analysis and reporting.

•Maintain structured pricing datasets and analytical files to support ongoing financial insights and leadership reporting.

•Partner with Finance and Product stakeholders to ensure pricing data aligns with financial forecasts and performance objectives.

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Ad hoc (as requested):

•Perform advanced data analytics and financial analysis related to pricing, cost structures, margins, revenues, and profitability and identify pricing opportunities, trends, and risks.

•Apply a strong pricing background to evaluate trends, risks, and opportunities that support Eaton’s pricing objectives.

•Support strategic planning initiatives by providing analytical insights that inform pricing strategies, profitability improvement, and business decisions.

•Translate complex financial and operational data into clear, actionable insights for leadership and cross‑functional stakeholders.

•Develop and maintain dashboards, reports, and analytical models to monitor pricing performance and business impact.

•Collect and validate data from internal and external sources related to pricing, costs, revenues, and profitability.

•Provide data-driven insights and recommendations to support pricing decisions and strategies.

•Collaborate with cross-functional teams such as sales, marketing, product, and finance to align pricing objectives and goals.

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Qualifications:

Education level required

• Bachelor's degree in Economics, Statistics, Mathematics, Business with emphasis in Finance or Analytics or related field.

Years and area of experience required

• 3–5 years of experience in pricing, financial analysis, or related commercial analytics activities.

• Proficient in Excel and Power BI, with experience developing dashboards, reports, and data visualizations.

Technical knowledge

• Strong understanding of Pricing concepts: margin, discounts, mark-ups, etc.

• Strong analytical and problem-solving skills, with attention to detail and accurac

• Explicit financial analysis skills (cost structures, profitability, variance analysis)

• Data analysis and reporting capabilities (especially tied to Excel and Power BI)

• Experience working with large datasets and data validation

• Ability to translate data into insights for leadership (technical + business bridge)

• Drives efficency using process improvement tools and techniques

• Excellent english communication skills, with the ability to distill complex requests into simple and actionable terms

Skills:

Soft skills

• Comfortable working through ambiguity and incomplete information to drive sound decisions

• Demonstrates a strong bias toward action, ownership, and follow‑through

• Organized and detail‑oriented, with the ability to manage multiple priorities and deadlines

• Strong business acumen with the ability to balance analytical rigor and practical outcomes

• Effective collaborator who can partner across sales, finance, product, and pricing teams

• Able to communicate insights clearly and influence stakeholders with data‑driven recommendations

• Team‑oriented mindset with accountability for both individual and collective results"