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Pricing Data Analytics Manager

4 months ago


St Louis, United States Hubbell Full time

Job Overview We are hiring a Pricing Data Analytics Manager to our winning team The Pricing Data Analytics Manager will support HUS Strategic Business Units by leading advanced analytics projects that drive actionable pricing insights. The successful candidate will be responsible for creating tools and processes that increase pricing effectiveness and efficiency across the organization. The role requires a self-starter mentality, exceptional critical thinking skills, and the ability to independently solve complex problems. Effective communication and the delivery of accurate and timely reporting, analysis, and strategic pricing recommendations will be essential for success in this role. A Day In The Life Key Responsibilities: Develop and maintain pricing tools that promote continuous improvement across the Hubbell Utility Solutions segment, with a focus on scalability and efficiency. Establish robust processes for large-scale data analyses, ensuring data accuracy and consistency. Analyze large, sometimes imperfect datasets to derive insights and independently tackle complex analytical challenges, demonstrating strong problem-solving skills. Effectively communicate insights to stakeholders at all levels, facilitating improved decision quality. Lead the implementation of quotation and pricing procedure changes to improve key pricing performance metrics. Execute mass price adjustments in response to evolving market conditions, meeting strict deadlines while maintaining data integrity. Manage the price maintenance process for new customers and new products, ensuring accuracy and timeliness. Develop tools and processes to collect market feedback from the Sales team, identify trends, and ensure competitive pricing. Create sophisticated pricing models and algorithms to maximize efficiency and win rates. Mentor newer team members and promote best practices, fostering a culture of continuous learning and improvement. This role may involve leading direct reports. Participate in and lead special projects as needed. What will help you thrive in this role? Required Qualifications: Bachelor of Science in a quantitative discipline such as Computer Science, Finance, Engineering, Mathematics, or another analytically rigorous field. Master’s Degree preferred. Minimum of five years of data analytics experience and/or experience in an equivalent analytical role with a proven track record of delivering results. Three or more years of Power BI development experience, including creating complex DAX measures and intuitive visualizations. Demonstrated ability to efficiently develop complex reports, analyses, and recommendations using inputs from multiple functional areas within the business and multiple data sources. Exceptional communication skills, with the ability to present results in a clear, concise, and actionable manner to both technical and non-technical audiences. Proven ability to consistently meet critical deadlines and deliver accurate results in a fast-paced environment. Strong attention to detail and commitment to data accuracy. Experience with programming languages such as VBA, SQL, Python, or R preferred. SAP ERP experience is a plus. Why Join Our Team: As part of the Hubbell Utility Solutions Pricing Team, you'll have the opportunity to make a significant impact by leveraging your data analytics expertise to drive pricing strategy and operational excellence across many levels of the organization. We are seeking a self-starter who is passionate about figuring things out independently and has a strong desire to continuously improve their skills. If you thrive in a fast-paced environment, enjoy tackling complex problems, and are committed to delivering accurate, actionable insights, we encourage you to apply. Thank you for your interest in a new career with our company. We look forward to hearing from you #LI-HB1 #LI-Hybrid Competencies Hubbell Incorporated Hubbell creates critical infrastructure solutions that power our customers, communities, people and the planet. Our company is strategically aligned around enabling grid modernization and electrification. As more products plug in to an aging grid, Hubbell solutions enable the transition to a more reliable, resilient and efficient energy infrastructure. Founded in 1888 our innovation has made us a leading global manufacturer of high quality electrical and utility solutions enabling customers to operate critical infrastructure reliably and efficiently. The company operates in two segments. Hubbell Utility Solutions (HUS) enable the grid to conduct, communicate and control energy across utility applications and Hubbell Electrical Solutions (HES) are essential to managing power across a wide range of industries and applications. Our vertical market solutions can be applied to markets including Data Centers, Renewables, Commercial Buildings, Industrial, Telecom and Transportation. Supporting both of our business segments is our corporate and Hubbell Unified Business Solutions teams that provide consistent process, tools technologies across our businesses. We are committed to operating sustainably and ethically while promoting an inclusive and supportive culture for our people to grow and develop in their careers. Our employees proudly work and serve our communities from our headquarters in Shelton, CT, across the United States and around the globe. Hubbell Utility Solutions Hubbell Utility Solutions (HUS) enable the grid to conduct, communicate and control energy across utility applications. HUS provides the critical components that allow the grid to reliably transmit and distribute energy, as well as the communications and controls technologies to make the grid smarter and more flexible. Hubbell Incorporated, its subsidiaries and affiliates, is an EO Employer AA: M/F/Veteran/Disability. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity or any other protected class.