• Lead data discovery and requirements gathering across systems and stakeholders • Develop and maintain enterprise data dictionaries, such as definitions, lineage, ownership, and standards • Analyze and map data across multiple systems to ensure consistency and interoperability • Define data models, schemas, and data standards to support reporting and workflows • Translate business needs into data requirements, mappings, and transformation logic • Design and support data pipelines and integrations across platforms • Build and maintain dashboards and reports to support operational and executive decision-making • Ensure data quality, validation rules, and governance standards are implemented • Collaborate with engineering teams to integrate data with workflow and application systems • Support documentation, user stories, and acceptance criteria for data-related features

Sr. Data Analyst - Remote Come make the world and accelerate your success. It takes great people to achieve greatness. People with a sense of purpose and integrity. People with a relentless pursuit of excellence. People who care about making things better For Those Who Make The World™. Sound like you? Join our top-notch team of more than 50,000 diverse and high-performing professionals globally who are making their mark on some of the world’s most beloved brands, including DEWALT®, BLACK+DECKER®, CRAFTSMAN®, STANLEY®, CUB CADET®, and HUSTLER®. The Job: As a Sr. Data Analyst, you’ll be part of our Tools and Outdoor Analytics team you’ll get to: - Collect, analyze, transform, and consolidate large volumes of data, working with internal team as well as business unit stakeholders including Verifying and validating data accuracy to ensure integrity. - Design, develop, and maintain ETL/ELT data pipelines using SQL, Python, and distributed processing frameworks. - Build and optimize data solutions on Snowflake, ensuring performance, reliability, and scalability. - Develop and maintain PySpark/Snowpark data transformations for large-scale data processing. - Support MLOps workflows, including model deployment, automation, monitoring, and reproducibility. - Collaborate with data scientists to prepare high-quality datasets for modeling and analytical use cases. - Use GitHub for version control, CI/CD automation, and code review best practices. - Develop and prototype data workflows in Jupyter Lab, ensuring reproducible and well-documented analysis. - Partner with IT, product, and business stakeholders to translate requirements into technical solutions. - Troubleshoot complex data issues, ensuring data quality, accuracy, and availability across systems. - Self-starter that can manage a project effectively with a high level of self-confidence. - Ability to manage multiple assignments with competing deadlines - Ability to work independently and remotely, troubleshoot problems with minimal oversight. The Person: You always strive to do a good job…but wouldn’t it be great if you could do your job and do a world of good? You care about quality – at every level. You love to learn and grow and be acknowledged for your valuable contributions. You’re not intimidated by innovation. In fact, you embrace it. You also have: - Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field. - 3 years data analytics or business analytics experience - Strong proficiency in SQL, including complex joins, CTEs, window functions, and performance tuning. - Hands-on experience working with Snowflake (warehousing, Snowpark, task orchestration, query optimization). - Proficiency in Python, especially within data processing, automation, and analytical workflows. - Experience with PySpark or Snowpark for large-scale distributed data processing. - Understanding of MLOps principles (model lifecycle, automation, CI/CD, monitoring). - Experience using GitHub for version control, pull requests, branching strategies, and workflow automation. - Experience with cloud platforms such as AWS, Azure, or GCP. - Familiarity working in Jupyter Lab for prototyping and exploratory data development. The Details: You’ll receive a competitive salary and a great benefits plan. And More: We want our company to be a place you’ll want to be – and stay. Being part of our team means you’ll get to: - Grow: Be part of our global company with 20+ brands to grow and develop your skills along multiple career paths. - Learn: Have access to a wealth of learning resources, including our digital learning portal. - Belong: Experience an awesome place to work, where we have mutual respect and a great appreciation for a wide range of perspectives and experiences. - Give Back: Help us continue to make positive changes locally and globally through volunteerism, giving back, and sustainable business practices. What’s more, you’ll get that pride that comes from empowering makers, doers, protectors, and everyday heroes all over the world. We’re more than the #1 tools company. More than a driving force in outdoor power equipment. More than a global leader in industrial. We’re visionaries and innovators. As successful as we’ve been in the past, we have so much further to go. That’s where you come in. Join us! #LI-NV1 We Don’t Just Build The World, We Build Innovative Technology Too. Joining the Stanley Black & Decker team means working in an innovative, tech-driven and highly collaborative team environment supported by over 58,000 professionals in 60 countries across the globe. Here, you’ll get the unique chance to impact some of the world’s most iconic brands including STANLEY TOOLS, DEWALT, CRAFTSMAN, MAC TOOLS and Black + Decker. Your ideas and solutions have the potential to reach millions of customers as we work together to write the next chapter in our history. Come build with us and take your career to new heights. Who We Are We’re the World’s largest tool company. We’re industry visionaries. We’re solving problems and advancing the manufacturing trade through innovative technology and our Industry 4.0 Initiative. We are committed to ensuring our state-of-the-art “smart factory” products and services provide greater quality to our customers & greater environmental and social value to our planet. We are unique in that we have a rich and storied history dating back to 1843, but that hasn't stopped us from evolving into a vibrant, diverse, global growth company. Global Benefits & Perks You’ll be rewarded with a competitive salary plus receive entitlements and benefits unique to your country of hire. What You’ll Also Get Career Opportunity: Career paths aren’t linear here. Being part of our global company with 60+ brands gives you the chance to grow and develop your skills along multiple career paths. Learning & Development: Our lifelong learning philosophy means you’ll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities). Diverse & Inclusive Culture: We pride ourselves on being an awesome place to work. We respect and embrace differences because that’s how the best work gets done. You’ll find we like to have fun here, too. Purpose-Driven Company: You’ll help us continue to make positive changes in the local communities where we work and live as well as in the broader world through volunteerism, giving back and sustainable business practices.

• Analyze, evaluate, and improve the quality of multilingual text classifier outputs. • Partner with linguistics and engineering teams to develop and refine language-specific parsers. • Translate and validate taxonomy content such as Skills, Titles, and Occupations from English to Thai (and/or Thai to English as needed). • Identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows. • Document findings clearly and follow established processes to ensure consistency and quality.

• Under minimal supervision of the Manager of Clinical Data Management or higher, the Clinical Data Analyst II T selects the appropriate data sources to develop reports and dashboards of clinical data. • Working in collaboration with statisticians, data managers, clinical research staff, IT, and quality assurance staff, the Clinical Data Analyst II will provide clinical data analysis reports and tools that enhance operational processes. • Collaborate with the clinical team to clarify and finalize user requirement specifications for clinical data analysis tools and reports. • Communicate with selected vendors and/or build reports and / or tools to meet clinical user requirements. • Lead technical projects like the development of risk-based monitoring programs, complex reporting and cross-form query building outside EDC, integrations between EDC and other systems, and data warehouse projects. • Contribute to the development and maintenance of the data warehouse used to manage libraries of clinical study data including image, source document, and data files. • Develop dashboards and reports to support the clinical team by choosing the right technique and software for each problem. • Independently develop reports to execute trial-specific data review/cleaning plans. • Perform complex programming such as data import/export and data transposition (Extract-Transform-Load (ETL) accurately. Use advanced procedures and options. • Assist in the setting up of programming timelines and deliverables for projects as required. • Assist in addressing external application vendor issues, integrations, and implementations. • Provide support for implementation of upgrades and new modules of remotely hosted vendors, acquiring all necessary documentation. • Partner with organizational stakeholders to create and implement data analytics best practices. • Contribute to the building and testing of clinical study databases, by defining study requirements specifications such as data validation specifications and participating in User Acceptance Testing (UAT) as needed. • Participate in and contribute to project discussions. Communicates with team members on a regular basis. • Utilize reports and data collection technology to identify possible data errors and questionable data trends. • Participate in audits as required. • Provide support to senior and manager-level clinical data analysts as needed. • Mentor and support less experienced clinical data analyst staff, peers, and other department staff. • Proactively provide process improvement feedback to management and provide input in SOP and standards updates/development. • Maintain and continue to gain a broad overall knowledge in the field of clinical data analysis and clinical data management. • Responsible for attending training classes and professional meetings as required. • Create training materials for clinical users and developers. • Document data sources and data mapping. • Create analytical data models and tools to help empower clinical teams. • Follow data standards policies, procedures, practices, and regulations for clinical data analysis reports and tools throughout the process of collection and submission of clinical data. • Develops skills and shares them with others. • Provide technical support and training on reports and tools for clinical staff. • Adhere to the Company’s Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. • Understand relevant security, privacy, and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. • Ensure other members of the department follow the QMS, regulations, standards, and procedures. • Perform other work-related duties as assigned.