Title

Data Analyst

Business

US - GEM

State / Country / Province

Florida

Job Description

The data analyst will work on a everyday basis with the business team to understand the business questions and requirements and with a team of data scientists, data engineers and data architects to implement solutions to give actionable answers to those questions. Data mining, profiling, mapping are essential part of the job, with strong emphasis on data modeling and statistical analysis as well as developing visualizations and dashboards to communicate the results of the findings in actionable ways. This position is ideal for highly motivated individual, with a track record of intellectual curiosity and problem solving strategies, and will be critical to our data initiatives within the Global Emergent Markets division.  

Essential Job Functions
 

  • Perform data mining, profiling, mapping, quality assessments of several sources.

  • Perform Exploratory data analysis for several data sources and projects.

  • Develop clear and compelling visualizations and dashboards to help business teams to make data informed decisions.

  • Help in the development of documentation and best practices.

  • Leverage big data to discover patterns and solve strategic & tactical business problems using massive structured and unstructured data sets across multiple environments.
  • Develop analytic capabilities (e.g. models and processes) that drive better outcomes for both customers and the company.
  • Drive the collection, cleansing, processing and analysis of new and existing data sources.
  • Build, test, and deploy predictive models and/or machine learning algorithms on large static and/or streaming data sets.
  • Report findings by creating useful and appropriate data outputs and visualizations tailored for the intended audiences.
  • Learn & stay current on data science developments, news, opportunities, and challenges.
  • Generate innovative ideas, establish new research directions, shape and execute the information strategy in support of technical projects and new product developments.
  • Work with and support other team members, management, and partners.

 
Essential Skills & Experience

  • Bachelor or Master degree in Computer Science, Mathematics, Engineering, Science, Economics, finance or related quantitative field.

  • 1-3 years of Work Experience in business intelligence, data mining, data modeling, statistical analysis
  • Strong practical knowledge of analytical techniques and methodologies such as machine learning/supervised and unsupervised techniques, segmentation, mix and time series modeling, response modeling, lift modeling, experimental design, neural networks, data mining and optimization techniques.
  • Strong knowledge of analysis tools such as Python, R, MATLAB, Spark or SAS.  R/Spark on Hadoop or Cassandra preferred.
  • Strong background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries (via R, H2O, Python, Spark, etc).
  • Proficiency in programming in Python, R, SQL, Javascript, Java/Scala/Ruby and shell scripting
  • Proficiency in consuming REST based API (with JSON payload) is a plus.
  • Fluency in big data platforms including Hadoop, MapReduce, Hive, Spark, PIG.
  • Familiarity with Cloud based HaaS/PaaS solutions such as AWS EMR, MS Azure.
  • A strong understanding of data profiling and data cleansing techniques.
  • Natural curiosity and a strong passion for empirical research and problem solving.
  • Strong written and verbal communications skills; comfortable communicating with senior levels of both business and technology leadership.
  • Fluency in English and Spanish.

 
Competencies
 

  • Statistical Analysis & Modeling.
  • Understanding Business Problems.
  • Data Wrangling & Exploration.
  • Problem Solving Mindset.
  • Clear Communication.
  • Technical Fluency.
  • Avid intellectual curiosity.
  • Experience with Agile 

 
About Us
Stanley Black & Decker Digital Accelerator’s mission is to infuse digital into the DNA of the company.  The focus is on rapid development and deployment of cutting edge technologies, analysis and software into our products and business processes to change the way we win, serve and retain customers.

Stanley Black & Decker, an S&P 500 company, is a diversified global provider of hand tools, power tools and related accessories, mechanical access solutions and electronics security solutions, healthcare solutions, engineered fastening systems, and more. For more information about Stanley Black & Decker, please visit:stanleyblackanddecker.com

Stanley Black & Decker is proud to be an Equal Opportunity Employer supporting diversity in the workplace. All qualified applicants to Stanley Black & Decker will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, veteran's status, age, disability or any other characteristic protected by law.
 

Requisition Number

51223BR

City

Miramar

EEO Statement

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.

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Confirmed 10 hours ago. Posted 30+ days ago.

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