Data Science Analyst

7 hours ago

Apply Now

Receive Emails with Similar Jobs

Stanley Black & Decker, Inc.

WebsiteLinkedInAll Job Openings

Manufacturing • Hardware • Industrial Solutions

Stanley Black & Decker, Inc. is a leading global provider of tools, outdoor products, and industrial solutions. Known for its iconic brands such as DEWALT, CRAFTSMAN, and Stanley, the company offers a wide range of tools and solutions for various industries, including engineered fastening and manufacturing technologies. Headquartered in New Britain, Connecticut, Stanley Black & Decker is committed to innovation, sustainability, and empowering people through its community initiatives. The company plays a significant role in the skilled trades sector, focusing on upskilling and inclusive culture, aiming for a positive impact on both the planet and its people.

10,000+ employees

Founded 1843

🔧 Hardware

💰 Post-IPO Debt on 2023-03

📋 Description

• Deliver actionable insights by collecting, mining, and analyzing complex data sets to drive business decisions and growth • Apply data science, machine learning, and artificial intelligence—including emerging Generative AI tools and techniques—to solve real-world business challenges • Stay current with the latest technologies (Gen AI, LLMs, cloud-native analytics) and leverage them to enhance our analytics capabilities • Collaborate with stakeholders to define goals, select KPIs, monitor performance, and identify trends and opportunities • Identify, design, and implement data process improvements, such as automating manual workflows, optimizing data infrastructure for scalability, and enhancing data delivery • Diagnose system deficiencies and recommend practical, effective solutions • Partner with IT and business teams to shape analytics and technology roadmaps aligned with strategic objectives • Champion a data-driven culture, working with analytics and commercial experts to maximize the value of our data assets • Provide robust data foundations for insights across Operations/Supply Chain, Marketing, Finance, Commercial, and more

🎯 Requirements

• 2+ years’ experience in data science, advanced analytics, or a related field • Bachelor’s degree in a technical field such as Computer Science, Statistics, Mathematics, Data Science, Engineering, Machine Learning, or a closely related discipline • Excellent communication skills (written & spoken), with the ability to explain complex concepts to non-technical audiences • Strong problem-solving abilities • Python expertise: Highly proficient in Python for data analysis, modeling, and automation, with the ability to write clean, efficient, and well-documented code • SQL proficiency: Strong skills in SQL for querying, manipulating, and managing large datasets across different database systems • Good coding skills: Comfortable with general programming concepts, version control (e.g., Git), and collaborative codebases • Experience developing and tracking Sales, Marketing, Finance, and Commercial metrics • Expertise in Financial Modeling, Sensitivity Analysis, and A/B Testing • Hands-on experience with cloud platforms (Snowflake, AWS, GCP, Azure) and modern data architectures • Proficiency with Data Mining and ETL tools (SQL, Python, R, db2, Alteryx, Knime, etc.) • Experience designing and implementing real-time data pipelines and handling streaming data • Proficiency with data visualization tools such as Power BI, Tableau, or similar platforms to communicate insights effectively • Familiarity with Generative AI, Large Language Models (LLMs), and their business applications (you don’t need to be an expert, but you should be comfortable using and learning about these technologies) • Experience with Forecasting, Risk Modeling, Product Portfolio Optimization, Market Mix Modeling, LTV Modeling, and Financial Forecasting

🏖️ Benefits

• Competitive salary and comprehensive benefits • Opportunities for professional growth and career advancement across our 20+ global brands • Access to world-class learning resources, including Lean Academy, Coursera, and our online university • A diverse, inclusive, and respectful workplace culture • Opportunities to give back through volunteerism and sustainable business practices