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Job Location: Middlebury, CT
We always ticked a little differently than other watch brands. In 1854, we took traditional European watchmaking and layered American industrial ingenuity on top to disrupt a 300-year-old industry. We turned clocks from expensive, fragile curiosities into reliable technology that any working family could afford. By 1901, our movements fit in your pocket and cost just one dollar, and by the 1960s, every third watch sold in America was a Timex. And we have not stopped challenging the status quo since.
The Supply Chain Reporting Analyst is responsible for analyzing and visualizing data to drive objective, empirical Supply Chain decision-making. You will lead the effective management and utilization of supply chain datasets, report development, and pro-active formulation of data-driven solutions. You must possess a critical mindset, so as to synthesize complex issues faced by functional stakeholders, understand key business requirements, then translate them into meaningful analyses with diverse datasets. This role will be part of a team that manages strategic projects across the Timex Group Supply Chain, including continuous improvement initiatives and implementing best practice business processes. Immediate focus areas for this role include S&OP maturity, and the development of reporting capabilities and dashboards to support key metrics and processes
This role will interact with stakeholders across all levels of the organization, including managers and executives, on a regular basis. Hence, you must possess an acute business focus, coupled with a collaborative style of working. You must be an excellent communicator, using excellent interpersonal and writing skills to foster a data-driven, analytical culture, and support desired business objectives. The successful candidate is an initiated individual with a passion for data analytics, who continuously demonstrates an ability to tackle complex problems and implement solutions.
Responsibilities
- Lead design, development, and implementation of analytical and reporting capabilities to support key business initiatives
- Foster data-driven culture, and drive documentation, optimization and harmonization of global supply chain analytics and architecture; identify, develop and deploy automation solutions
- Establish data management protocols, structures, and standards for collecting and storing key supply chain data. Establish data extraction protocols and develop push button reports, predictive analytics, trend graphs and dashboards
- Support S&OP process and drive analytical insights and cross-functional alignment among data inputs
- Communicate gained knowledge and insights from analytical analysis to stakeholders via infographics, dashboards, charts, graphs, and other applicable methods using platforms such as SQL and PowerBI.
- Recommend business process changes or enhancement of current process best practices to all levels within the business in order to deliver required efficiencies
- Engage with Supply Chain functional leads to ensure that business intelligence solutions are consistent with business strategies
- Collaborate with peer group, key stakeholders and functional leads to understand current issues and partner to resolve
Requirements
- Bachelor’s degree in Supply Chain Management, Data Analytics, or Information Technology
- 5+ years of experience with analyzing and interpreting data and supply chain-related processes
- 2-3 years of leading teams and projects within Supply Chain
- Broad knowledge in Demand and Supply Planning, with supplementary knowledge of other Supply Chain functions, including Logistics/Distribution, and Manufacturing
- Ability to express technical concepts in terms understandable to the business
- Must have a critical and creative mindset with attention to detail, applying an analytical approach to problem solving that challenges the status quo
- Strong interpersonal and organizational skills for effective relationship management and influence with internal/external business partners
- Presentation skills – while most of the work will be on analyzing data & applying statistical models, clear and concise communication of information to peers & management is integral
- Expertise and experience in advanced Data Analytics
- Expertise in visualization tools such as Tableau, Power BI, or similar solutions
- Advanced ability in SQL, Python, or similar languages
- Must have expert knowledge of Microsoft Office suite, with particular focus in Access, Excel, PowerPoint, and Visio
- Knowledge of Oracle and Logility a plus
This role is hybrid and based in Connecticut. Remote work is not available.
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