Fortune Brands
Company Description Fortune Brands Innovations, Inc. is an industry-leading home, security and digital products company. We're focused on exciting opportunities within the home, security and commercial building markets. Our driving purpose is to elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too. At Fortune Brands, we're building something big. We're advancing exciting innovations in all of our products and processes. We're delivering trust, dependability, sustainability, and style. To make it all happen, we've transformed our workplace into an environment where smart, ambitious people have the support to reach their fullest potential. When you join Fortune Brands, you become part of a high-performing team empowered to think big, learn fast and make bold decisions. We support an inclusive culture where everyone is encouraged be their authentic selves, and where our differences and unique perspectives are a key strength. Explore life at Fortune Brands here. Job Description We are seeking a highly analytical and detail-oriented Sales Analyst to join our team. In this role, you will transform complex data into actionable insights that drive strategic decision-making across Sales, Marketing, Finance, and IT. You will be responsible for mining and analyzing large-scale data sets, developing predictive models, and creating automated dashboards and reports to monitor business performance. This position requires strong technical skills, business acumen, and the ability to communicate insights effectively to stakeholders. The ideal candidate is proactive, collaborative, and passionate about leveraging data and emerging technologies-such as AI and large language models-to optimize business operations and uncover growth opportunities. RESPONSIBILITIES:
- Play a key role in generating analytical solutions to complex business problems by mining data, leveraging data experiments, conducting analysis, and generating insights that to yield relevant, actionable insights.
- Support data and analytics requests by gathering business requirements, sourcing and validating data, analyzing data, building models, synthesizing insights, and presenting results.
- Develop and automate daily, weekly, monthly, and seasonal reporting and dashboards to monitor the health of the business and to share business insights with Sales, Marketing, and Finance stakeholders.
- Conduct and support analysis across multiple large-scale data sources (structured and unstructured) to identify and socialize key facts and insights.
- Collaborate with Sales, Marketing, Finance, and Information Technology (IT) to understand business needs and identify key opportunities and challenges, particularly in defining analytical problem statements and building the fact basis needed to create recommendations.
- Leverage AI and large language models (LLMs) to drive innovative analysis, generate predictive insights, support strategic decision-making, and optimize business operations across functions.
- Partner with internal and external IT teams to develop short and long term data analytics tools and infrastructure.
- Bachelor's degree in Engineering, Data Science, Statistics, Applied Math Business Intelligence or a related quantitative discipline is required.
- Minimum of 3 years of experience in a Business Intelligence-related, analytical role
- Experience in extracting, manipulating and analyzing data, drawing conclusions and making recommendations.
- Experience with business intelligence and visualization toolkits such as: Qlik, R, Python, SAS or Tableau required.
- Experience developing solutions using large volumes of data; creating predictive models, using applied statistical analysis such as regression, classification, clustering, etc.
- Demonstrated sense of urgency and ability to persevere to reach objectives for challenging problems.
- Strong communication skills with experience presenting and translating data into decision-ready insights is preferred.
- Proficient in the use of Microsoft Office Suite. Intermediate to Advanced Excel skills are required.