Sr. Data Analyst

Stanley Black & Decker, Inc. is a global tools, outdoor power equipment, and industrial company. The Senior Data Analyst will support the Tools & Outdoor Finance Analytics team by deploying analytical tools for forecasting process automation, improving forecast accuracy, and delivering data-driven insights. The role involves data analysis, reporting, cross-functional collaboration, process improvement, quality assurance, and the use of AI and automation technologies.

Responsibilities:

• Data Collection & Analysis: Gather, clean, and analyze data from a range of business functional teams, including Brand, Commercial, Engineering & Supply Chain to enable forecast accuracy improvements
• Reporting & Visualization: Develop and maintain dashboards and reports to communicate insights effectively to stakeholders
• Business Insights: Translate data findings into actionable business strategies that provide comprehensive analysis and recommendations to inform objective decision making related to forecast accuracy initiatives
• Collaboration: Partner with cross-functional teams on special projects, key business initiatives & enterprise data related projects to understand data needs and provide data-driven solutions
• Process Improvement: Identify trends, patterns, and areas for optimization within data processes and systems. Drive process improvements that impact business results (SKU Level Forecast Enablement)
• Quality Assurance: Ensure data accuracy and integrity through regular analysis and validation
• Continuous Learning & Innovation: Demonstrate curiosity and a proactive approach to learning new analytical techniques, technologies, and tools. Seek opportunities to expand skillsets and stay current with industry trends
• AI & Automation: Leverage emerging technologies, including artificial intelligence and machine learning, to accelerate project development, enhance forecasting, and automate routine analytic processes

Requirements:

• Teleworkin from any city in Colombia
• • Bachelor's Degree required, preferably in Computer Science, Finance, Analytics or Accounting
• • 2-4 years of prior related experience
• • Working knowledge of ERP and Financial reporting systems such as SAP, Hyperion, Essbase
• • Strong Microsoft Office skills particularly in Excel and PowerPoint
• • Prior experience with analytics tools such as Power BI, Alteryx, and Snowflake
• • Strong analytical and problem-solving skills
• • Familiarity with analyzing large datasets to identify trends, patterns, and insights to support Business Partners
• • Excellent communication and presentation skills
• • Demonstrated curiosity and commitment to continuous professional development
• • Experience or interest in utilizing AI and automation tools to enhance analytics and business outcomes
• Experience with SQL and Python for data extraction, analysis, and automation is preferred