The ideal candidate brings strong financial acumen, analytical capability, structured problem solving, and comfort working through ambiguity. Direct pricing experience is helpful but not mandatory; candidates with strong strategy and financial analytics backgrounds are encouraged. Advanced Excel, financial modeling, and PowerPoint are more important than SQL, Python, Power BI, or Tableau, which are differentiators rather than core requirements.
Job Responsibilities
- Develop strategic business cases supporting new products, pricing initiatives, promotional offers, and customer acquisition strategies.
- Support core pricing decisions including acquisition pricing, base pricing, annual price increases, fee changes, and evaluation of alternative pricing models.
- Structure ambiguous business problems, analyze options, and develop clear, data-supported recommendations for leadership.
- Build financial models and conduct scenario analysis to evaluate market opportunities, forecast business impact, and estimate ROI for strategic initiatives.
- Analyze pricing performance, promotional effectiveness, and competitive positioning across products and customer segments.
- Use advanced Excel and financial modeling as primary analytical tools to build and evaluate pricing business cases; leverage SQL, Python, Power BI, Tableau, and existing reporting assets when applicable.
- Develop new dashboards, reports, and executive presentations that translate complex analysis into actionable business recommendations.
- Partner cross-functionally with Product, Marketing, Finance, Sales, and Analytics teams to define business requirements and prioritize strategic initiatives.
- Support pricing tests, experiments, and optimization efforts, including test design, measurement frameworks, post-launch analysis, and recommendation development.
- Evaluate customer behavior, pricing elasticity, promotional performance, and acquisition trends to support data-driven decision making.
- Build dashboards, reports, and recurring performance views that help stakeholders monitor key pricing, revenue, margin, and customer metrics.
- Present findings and recommendations to business leaders through concise, executive-level storytelling and visualizations.
Secondary Functions:
- Leverage AI tools such as ChatGPT, Microsoft Copilot, and similar technologies to improve research, automate analysis, accelerate content development, and increase productivity.
- Continuously identify opportunities to improve reporting processes, analytical workflows, and business decision-making capabilities.
Position type:
- Full time
- Approximately 12 months planned, with potential extension
Expected hours of work:
- Remote within the U.S.; U.S. time zones. Weekend work is uncommon and may be needed only occasionally.
Job Qualifications
- Bachelor's degree in Business, Economics, Finance, Analytics, Marketing, Data Science, or a related field.
Preferred Education/Certifications:
- MBA is a plus.
Experience:
- Typically, 3–6 years of relevant experience in pricing, strategy, business analysis, consulting, financial analysis, product strategy, or analytics; the hiring team is flexible based on demonstrated ability to perform the role.
- Experience developing business cases, financial models, and executive presentations.
- Experience supporting pricing, acquisition, product, or commercial strategy initiatives.
- Experience working cross-functionally within fast-paced, data-driven organizations.
Preferred Experience:
- Experience with pricing experimentation, elasticity analysis, customer segmentation, promotional analysis, or revenue optimization.
- Experience in subscription, media, telecom, technology, consumer services, or other recurring-revenue businesses.
Skills and Qualifications:
- Strong business acumen with the ability to connect analytical findings to strategic recommendations.
- Advanced Excel skills including financial modeling, forecasting, and scenario analysis.
- Strong PowerPoint, communication, and executive presentation skills, with the ability to simplify complex analyses and clearly articulate recommendations.
- Strong analytical thinking, financial acumen, structured problem-solving, and the ability to work effectively through ambiguity.
Preferred Skills and Qualifications:
- SQL skills for data extraction and analysis; SQL is a differentiator rather than a core requirement.
- Experience with Python for data analysis and automation; advanced technical/coding skills are a plus rather than a core requirement.
- Experience using Power BI and/or Tableau to build dashboards and executive reporting.
- Familiarity with AI productivity tools and prompting (such as ChatGPT or Microsoft Copilot) to accelerate analysis and routine tasks; willingness and ability to learn new AI-enabled workflows quickly is important.
- Ability to manage multiple initiatives while working independently in a collaborative environment.
Physical Requirements: N/A
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed, as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
About
At Group O, it’s our employees who we value most. That’s why we provide a supportive environment where employees are given every opportunity to excel. Group O offers a wide variety of careers with room for professional growth and advancement, and we are always looking for motivated individuals to join our team. At Group O, our employees’ health and well-being is equally as important as the work they perform. We back up that philosophy by providing a competitive benefits package that supports now and for their future.In 1974, Bob Ontiveros saw an opportunity to live the American dream and build a company for himself and his family. 50 years later, the packaging company he originally founded out of the back of his station wagon - Group O is ranked by the United States Hispanic Chamber of Commerce as one of the top five Latino-owned businesses in the country. Group O has gained prestige for helping Fortune 500 companies like Samsung, Michelin, Caterpillar, and PepsiCo turn their most complex business challenges into centers of profitability and efficiency. Headquartered in Milan, IL, Group O employs over 1,200 employees.
Skills Required
- Bachelor's degree in Business, Economics, Finance, Analytics, Marketing, Data Science, or a related field
- Typically 3-6 years of relevant experience in pricing, strategy, business analysis, consulting, financial analysis, product strategy, or analytics
- Experience developing business cases, financial models, and executive presentations
- Experience supporting pricing, acquisition, product, or commercial strategy initiatives
- Experience working cross-functionally within fast-paced, data-driven organizations
- Advanced Excel skills, including financial modeling, forecasting, and scenario analysis
- Strong PowerPoint, communication, and executive presentation skills
- Strong analytical thinking, financial acumen, structured problem-solving, and ability to work through ambiguity
- MBA
- Experience with pricing experimentation, elasticity analysis, customer segmentation, promotional analysis, or revenue optimization
- Experience in subscription, media, telecom, technology, consumer services, or recurring-revenue businesses
- SQL skills for data extraction and analysis
- Python experience for data analysis and automation
- Experience using Power BI or Tableau for dashboards and executive reporting
- Familiarity with AI productivity tools and prompting, such as ChatGPT or Microsoft Copilot
What We Do
Group O is an end-to-end business process outsourcing provider specializing in innovative, technologically driven marketing, supply chain, and packaging solutions. The Marketing Division specializes in loyalty and reward program management utilizing O-vations™ Loyalty and Reward platform, Omni-channel customer care and sales centers, as well as program analytics and supportive creative services. The Supply Chain division is committed to giving clients a competitive edge through comprehensive solutions. Services include kitting and sub-assembly, forward and reverse logistics, device management, spend management and order and inventory management solutions. The Packaging Division is dedicated to keeping client packaging operations running efficiently by procuring and distributing packaging materials, maintaining equipment, and optimizing packaging materials utilizing Smart Audit™ Analysis. Headquartered in Milan, IL, Group O is one of the largest Hispanic-owned companies in the United States with more than 1,200 employees. To learn more, visit www.GroupO.com.







