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Data Science Analyst Job Opening In Medellín – Now Hiring Stanley Black & Decker

Data Science Analyst

    Colombia Jobs Expertini Expertini › Colombia › Jobs › Medellín › Mathematical Science Occupations › Data Science Analyst

Job description

Data Science Analyst

Empower Those Who Make The World

At Stanley Black & Decker, we believe in the power of people with purpose, integrity, and a relentless drive for excellence.

Join our global team of 53,000+ professionals across 60 countries, making an impact on iconic brands like DEWALT, CRAFTSMAN, STANLEY, BLACK+DECKER, IRWIN, LENOX, and more.

Your Impact

As a Data Scientist on our Brand and Product Analytics team, you will:

  • 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.

    • Who You Are

    You are a curious, creative problem solver who thrives in a fast-evolving field.

    You embrace innovation, adapt quickly, and are passionate about learning new technologies.

    You bring:

  • 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: You approach challenges analytically and creatively, using data-driven methods to identify root causes and develop effective solutions.

    You are comfortable tackling ambiguous problems and breaking them down into actionable steps.
  • 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

    • Nice to Have:

  • Experience in Manufacturing, CPG, or Retail sales environments
  • Software development skills, including source code management (GitHub, BitBucket, Azure DevOps Repos, etc.)
  • Experience with MLOps, model deployment, and monitoring in production environments
  • Familiarity with data privacy, security, and responsible AI practices

    • What You’ll Receive

  • 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

    • Why Stanley Black & Decker?

    We’re more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening.

    We’re visionaries and Industry 4.0 innovators.

    Join us and help empower makers, doers, protectors, and everyday heroes all over the world.

    All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran’s status, or any other protected characteristic.

    Data Science Analyst

    Empower Those Who Make The World

    At Stanley Black & Decker, we believe in the power of people with purpose, integrity, and a relentless drive for excellence.

    Join our global team of 53,000+ professionals across 60 countries, making an impact on iconic brands like DEWALT, CRAFTSMAN, STANLEY, BLACK+DECKER, IRWIN, LENOX, and more.

    Your Impact

    As a Data Scientist on our Brand and Product Analytics team, you will:

  • 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.

    • Who You Are

    You are a curious, creative problem solver who thrives in a fast-evolving field.

    You embrace innovation, adapt quickly, and are passionate about learning new technologies.

    You bring:

  • 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: You approach challenges analytically and creatively, using data-driven methods to identify root causes and develop effective solutions.

    You are comfortable tackling ambiguous problems and breaking them down into actionable steps.
  • 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

    • Nice to Have:

  • Experience in Manufacturing, CPG, or Retail sales environments
  • Software development skills, including source code management (GitHub, BitBucket, Azure DevOps Repos, etc.)
  • Experience with MLOps, model deployment, and monitoring in production environments
  • Familiarity with data privacy, security, and responsible AI practices

    • What You’ll Receive

  • 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

    • Why Stanley Black & Decker?

    We’re more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening.

    We’re visionaries and Industry 4.0 innovators.

    Join us and help empower makers, doers, protectors, and everyday heroes all over the world.

    All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran’s status, or any other protected characteristic.

    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.

    Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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    Unlock Your Data Science Potential: Insight & Career Growth Guide


    Real-time Data Science Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Science in Medellín, Colombia, highlighting market share and opportunities for professionals in Data Science roles.

    18385 Jobs in Colombia
    18385
    158 Jobs in Medellín
    158
    Download Data Science Jobs Trends in Medellín and Colombia

    Are You Looking for Data Science Analyst Job?

    Great news! is currently hiring and seeking a Data Science Analyst to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Stanley Black & Decker adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Colombia laws and regulations

    What Is the Average Salary Range for Data Science Analyst Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Medellín. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Data Science Analyst?

    Key qualifications for Data Science Analyst typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

    How Can I Improve My Chances of Getting Hired for Data Science Analyst?

    To improve your chances of getting hired for Data Science Analyst, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    Interview Tips for Data Science Analyst Job Success

    Stanley Black & Decker interview tips for Data Science Analyst

    Here are some tips to help you prepare for and ace your Data Science Analyst job interview:

    Before the Interview:

    Research: Learn about the Stanley Black & Decker's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Data Science Analyst interview at Stanley Black & Decker, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Stanley Black & Decker's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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