Data Analyst
Medellin COL - Poblado Carrera Ave, Colombia
Stanley Black & Decker
Headquartered in the USA, Stanley Black & Decker is the world’s largest tool company with 50 manufacturing American facilities and more than 100 worldwide.MAJOR RESPONSIBILITIES
- Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks
- Identify trends and opportunities for deep dive analysis through analysis of complex data sets
- Create best-practice reports based on data mining, analysis, and visualization
- Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data
- Work directly with management and users to gather requirements, provide status updates, and build relationships
- Work closely with key stakeholders to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
- Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement
- Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
- Define and implement data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution
- Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across data sets
- Develop and maintain Power BI reports to support the PLE Global Prioritization and Execution Team, aiding Productivity, Warranty, and Product Lifecycle Engineering Teams in work prioritization and execution.
REQUIREMENTS
- Bachelor's degree preferred: Computer science, statistics, or data science. Other certifications or work experience (3+ years preferred) may be considered.
- Demonstrable experience with creating Power BI reports
- Demonstrable experience of mining data as a data analyst
- Proven analytic skills, including mining, evaluation, analysis, and visualization
- Technical writing experience in relevant areas, including queries, reports, and presentations
- Strong SQL or Excel skills with the ability to learn other analytic tools
- Prior experience with database and model design and segmentation techniques
- Good technical ability and understanding of how databases work, as well as the use of data development software (ETL packages) and programming languages (usually SQL and Python) to develop tools to extract, transform and load data, as well as to document the creation of these tools.
- Programming Language (experience preferred): Python (numpy, pandas, matplotlib, seaborn, scipy, flask) or R (ggplot, dplyr, shiny)
- Database management: SQL or NoSQL. Good understanding of data modeling, indexing, and optimization techniques.
- Data warehousing: Snowflake
- Practical experience in statistical analysis through the use of statistical packages including Excel, SPSS, and SAS
- Proven success in a collaborative, team-oriented environment
- Have strong communication skills and able to convey information both verbally and via email to a global audience
- You will have the ability to spearhead global programs, interacting and engaging with a wide variety of cultures and business units
- The candidate must be a committed team worker and bring a ‘growth mindset’ to the team
- The successful candidate will require a highly developed soft skill set and a degree of cultural sensitivity - each and every project will entail working with a broad spread of cultures and nationalities and the successful candidate should relish the opportunity to head a number of global initiatives
- Fluent in English
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Mining Data Warehousing Engineering ETL Excel Flask KPIs Matplotlib Model design NoSQL NumPy Pandas Power BI Python R SAS SciPy Seaborn Snowflake SPSS SQL Statistics
Perks/benefits: Career development Competitive pay Flex hours
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