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Job Location: Greenville, SC
Corporate Overview
Hubbell Incorporated was founded in 1888 and has grown into an international manufacturer of quality electrical, lighting and power solutions with more than 75 brands used and recognized around the world. Our founder, Harvey Hubbell, developed tooling and equipment to serve the growing demand for new assembly and manufacturing machinery during the industrial revolution. An early, and one of many patents awarded, came for the creation of the first practical method to control electricity through the pull chain socket that remains unchanged today. As a market leader in reliable, electrical solutions, we provide more than half a million products delivered through our various business groups. Hubbell is committed to continually innovating solutions that work, transforming old products with new ideas, and ensuring that we Energize, Enlighten and Empower the communities that support us.
Position Overview
The Data Science & Insights Manager will partner with business champions and leadership teams across the enterprise to drive improved decision making through the use and interpretation of data. The position will focus on leading projects with a hands-on approach and be responsible for ensuring the integrity of the data and insights delivered to organizational partners. This position will be responsible for introducing machine learning applications where possible to increase the use of advanced analytics and foster data driven results that cannot be recognized using traditional methodologies and toolsets. All delivered solutions will directly or indirectly drive cost saving measures, increased profitability, or cash flow enhancements for the organization. This role will include hands on development activities in Azure ML, Databricks, and/or MS Power Platform as well as the leading, coaching, and mentoring of a team of data science and analytics professionals.
Duties and Responsibilities
- Hands on development and/or leading of assigned resources to deliver solutions using cloud-based technologies such as Azure Data Lake, Azure Databricks, Azure ML, and Enterprise Data Models.
- Directly manage and lead a team consisting of both Hubbell employees and 3rd party staff to drive project completion and value delivery.
- Lead collaboration between analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
- Partner with functional areas to ensure that reporting & analytics is driving insight that can be quantitatively measured and used with predictive analysis when applicable.
- Lead project planning and resourcing activities and manage the execution of projects according to plan.
- Recommend and integrate toolsets from vendors to provide seamless enterprise solutions regardless of the application.
- Proactively identify changes in work scope and ensure appropriate planning measures are taken with internal and external stakeholders to reassess and amend the scope of work, requirements, budget, and timeline.
- Create and maintain comprehensive project documentation.
- Establish and maintain relationships with third parties/vendors.
Skills and Experience
- Bachelors Degree in Computer Science or Engineering
- 5+ years of experience supporting SAP/CRM/Analytics systems with at least 3 years in a functional and/or project management role developing Business Intelligence solutions at an Enterprise Level
- 3+ year of experience with SAP S4HANA
- 2+ years of experience in Azure ML, Azure DevOps, and/or Azure Databricks
- Ability to effectively engage with stakeholders, gather requirements, and translate them into integrated data models and a delivered solution.
- Ability to analyze different tools and technologies to determine best solutions for integration from an enterprise perspective.
- Strong analytical skills and troubleshooting skills required.
- The ability to work across diversified business and IT teams.
- Experience working in a customer service orientated environment.
- Extremely organized with strong time-management skills.
- Strong written and oral communication skills.
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